preferred waterflood management practices for the …/67531/metadc734657/... · report date: sept...

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Report Date: Sept 26, 2002 Annual Technical Progress Report PREFERRED WATERFLOOD MANAGEMENT PRACTICES FOR THE SPRABERRY TREND AREA DOE Contract No.: DE-FC26-01BC15274 Harold Vance Department of Petroleum Engineering Texas A& M University 3116 TAMU College Station, TX 77843-3116 (979) 845-2241 Contract Date: September 1, 2001 Anticipated Completion Date: September 1, 2003 Program Manager: C. M. Sizemore Pioneer Natural Resources Principal Investigator: David S. Schechter Harold Vance Department of Petroleum Engineering Contracting Officer’s Representative: Dan Ferguson National Petroleum Technology Office Report Period: Sept 1, 2001- Sept 31, 2002 US/DOE Patent Clearance is not required prior to the publication of this document.

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Page 1: PREFERRED WATERFLOOD MANAGEMENT PRACTICES FOR THE …/67531/metadc734657/... · Report Date: Sept 26, 2002 Annual Technical Progress Report PREFERRED WATERFLOOD MANAGEMENT PRACTICES

Report Date: Sept 26, 2002

Annual Technical Progress Report

PREFERRED WATERFLOOD MANAGEMENT PRACTICES FOR THESPRABERRY TREND AREA

DOE Contract No.: DE-FC26-01BC15274

Harold Vance Department of Petroleum EngineeringTexas A& M University3116 TAMUCollege Station, TX 77843-3116(979) 845-2241

Contract Date: September 1, 2001Anticipated Completion Date: September 1, 2003

Program Manager: C. M. SizemorePioneer Natural Resources

Principal Investigator: David S. SchechterHarold Vance Department of PetroleumEngineering

Contracting Officer’s Representative: Dan FergusonNational Petroleum Technology Office

Report Period: Sept 1, 2001- Sept 31, 2002

US/DOE Patent Clearance is not required prior to the publication of this document.

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DISCLAIMER

This report was prepared as an account of work sponsored by an agency of the UnitedStates Government. Neither the United States Government nor any agency thereof, norany their employees, makes any warranty, express or implied, or assumes any legalliability or responsibility for the accuracy, completeness, or usefulness of anyinformation, apparatus, product, or process disclosed, or represents that its use would notinfringe privately owned rights. Reference herein to any specific commercial product,process, or service by trade name, trademark, manufacturer, or otherwise does notnecessarily constitute or imply its endorsement, recommendation, or favoring by theUnited States Government or any agency thereof. The views and opinions of authorsexpressed herein do not necessarily state or reflect those of the United States Governmentor any agency thereof.

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TABLE OF CONTENTS

DISCLAIMER .............................................................................................................................ii

TABLE OF CONTENTS.............................................................................................................iii

LIST OF TABLES.......................................................................................................................iv

LIST OF FIGURES .....................................................................................................................v

I. Germania Unit Rate Forecasting Based on Other Waterflood Pilots in the Spraberry

Area........................................................................................................................................1

1.1 Summary................................................................................................................................1

1.2 Waterflood History of Germania Unit ...................................................................................1

1.3 Waterflooding performances in the previous Germania unit and other units ........................4

1.4 Conclusions............................................................................................................................5

1.5 References..............................................................................................................................6

II. Evaluation of Current E.T O’Daniel CO2 Pilot.......................................................................30

2.1 Synopsis .................................................................................................................................30

2.2 Introduction............................................................................................................................30

2.3 Review of waterflood performances......................................................................................31

2.4 CO2 flood performance-Review of production data ..............................................................32

2.5 Review of logging data ..........................................................................................................35

2.6 Review of gas sampling data .................................................................................................38

2.7 Conclusions............................................................................................................................40

2.8 References..............................................................................................................................41

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LIST OF TABLES

Table 1.1 Coupling between injector and producers..................................................................7

Table 1.2 Summary of waterflood projects ...............................................................................7

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LIST OF FIGURES

Fig. 1.1 The new and old waterflood patterns applied in Naturally Spraberry Trend

Area............................................................................................................................8

Fig. 1.2 The Germania Unit Layout showing coupling between injectors and producers

taken from old waterflood history..............................................................................9

Fig. 1.3 Cumulative water injection map ................................................................................10

Fig. 1.4 Cumulative oil production map .................................................................................11

Fig. 1.5 Cumulative water oil ratio map..................................................................................12

Fig. 1.6 Cumulative water oil ratio in bubble map..................................................................13

Fig. 1.7 Cumulative water cut map .........................................................................................14

Fig. 1.8 Water injection rate....................................................................................................15

Fig. 1.9 Production summary of Germania Unit .....................................................................15

Fig. 1.10 Oil production history and decline curve analysis.....................................................16

Fig. 1.11 Comparison of cumulative production between infill wells and waterflood

responses ...................................................................................................................16

Fig. 1.12 Decline curve analysis taken from all data points and continued with the

forecasting incremental oil from current ET O’Daniel waterflood

performance. ..............................................................................................................17

Fig. 1.13 Decline curve analysis taken from all data points and continued with the

forecasting incremental oil from old ET O’Daniel waterflood performance. ...........17

Fig. 1.14 Nominal decline rate above and below base case decline curve for current ET

O’Daniel waterflood performance .............................................................................18

Fig. 1.15 Nominal decline rate above and below base case decline curve for old ET

O’Daniel waterflood performance .............................................................................18

Fig. 1.16 Decline curve analysis taken from last data points. ...................................................19

Fig. 1.17 Decline curve analysis taken from last data points and continued with the

forecasting incremental oil from old and current ET O’Daniel waterflood

performance. ..............................................................................................................19

Fig. 1.18 Production summary of GSU-21 ...............................................................................20

Fig. 1.19 Decline curve analysis of GSU-21.............................................................................20

Fig. 1.20 Cumulative oil recovery due to waterflood in the Germania unit .............................21

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Appendix-A: Production Summary and Decline Analysis of Germania Wells ......................22

Fig. 1.1A Production summary of GSU-10 ...............................................................................23

Fig. 1.2A Decline curve analysis of GSU-10.............................................................................23

Fig. 1.3A Production summary of GSU-12 ...............................................................................24

Fig. 1.4A Decline curve analysis of GSU-12.............................................................................24

Fig. 1.5A Production summary of GSU-16 ...............................................................................25

Fig. 1.6A Decline curve analysis of GSU-16.............................................................................25

Fig. 1.7A Production summary of GSU-26 ...............................................................................26

Fig. 1.8A Decline curve analysis of GSU-26.............................................................................26

Appendix – B: Production Summary and Decline Analysis of Old ET O’Daniel Unit .........27

Fig. 1.1B Production summary of old ET O’Daniel unit...........................................................28

Fig. 1.2B Incremental oil recovery of old ET O’Daniel unit.....................................................28

Fig. 1.3B Cumulative oil production of old ET O’Daniel unit ..................................................29

Fig. 2.1 Spraberry Trend Area ................................................................................................43

Fig. 2.2 E.T. O’Daniel Pilot Area ...........................................................................................44

Fig. 2.3 Grid map showing cumulative oil production during 1951-1959..............................45

Fig. 2.4 Cumulative water cut grid map (1959-1999).............................................................46

Fig. 2.5 Cumulative oil production (1959-1999) ....................................................................47

Fig. 2.6 Cumulative gas production (1959-1999) ...................................................................48

Fig. 2.7 Historical Oil Production ...........................................................................................49

Fig. 2.8 Oil response seen at on-trend wells (1999-2002) ......................................................50

Fig. 2.9 Water swept area (1999-2002)...................................................................................51

Fig. 2.10 Quickest tracer response (times of response shown in box) ......................................52

Fig. 2.11 Tracer response after 5 days .....................................................................................53

Fig. 2.12 Tracer response after 15 days ...................................................................................53

Fig. 2.13 Tracer response after 29 days ...................................................................................54

Fig. 2.14 The percentage of CO2 produced at the interior wells and ET O’Daniel A1 ............54

Fig. 2.15 Total water and CO2 injection is maintained in the pilot ..........................................55

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Fig. 2.16 Comparison of CO2 injected and produced in the interior producers and ET

O’Daniel A1...............................................................................................................55

Fig. 2.17 Cumulative water injection and production profile from ET O’Daniel A1 and

interior producers .......................................................................................................56

Fig. 2.18 Cumulative production profile from on trend wells ..................................................56

Fig. 2.19 Similar production trend in Brunson F1 and O’Brien B1..........................................57

Fig. 2.20 Production profile in O’Brien B1 ..............................................................................57

Fig. 2.21 Cumulative CO2 injected ...........................................................................................58

Fig. 2.22 Production response at wells due to water injection alone ........................................58

Fig. 2.23 Cumulative produced CO2 fraction............................................................................59

Fig. 2.24 Comparison of oil production between interior producers and ET O’Daniel A1......60

Fig. 2.25 Comparison of oil rate and gas rate at ET O’Daniel A1............................................60

Fig. 2.26 Water production at the interior producers and ET O’Daniel A1..............................61

Fig. 2.27 Oil production profile in ET O’Daniel A1.................................................................61

Fig. 2.28 Decline curve scenarios when highest oil rate prior to waterflooding is used ..........62

Fig. 2.29 Cumulative oil production for decline in production before waterflooding ..............62

Fig. 2.30 Decline curve analysis after waterflooding was started.............................................63

Fig. 2.31 Cumulative production estimates for different rates after waterflooding .................63

Fig. 2.32 Upper Spraberry Interval (1U-5U).............................................................................64

Fig. 2.33 Comparison of neutron response at LOW 49(Jan/Dec 2001)....................................65

Fig. 2.34 Comparison of neutron response at LOW 50(Feb/Dec 2001) ...................................66

Fig. 2.35 Temperature Log taken in ET O’Daniel 41 ...............................................................67

Fig. 2.36 Temperature Log taken in ET O’Daniel 42 ...............................................................68

Fig. 2.37 Initial gas compositions recorded in Feb 2001 ..........................................................69

Fig. 2.38 Carbon di oxide fractions in on-trend wells...............................................................69

Fig. 2.39 Methane fractions in on-trend wells ..........................................................................70

Fig. 2.40 C2, C3, n-C4 and C6+ fractions in on-trend wells ....................................................70

Fig. 2.41 CO2 fractions in off-trend wells................................................................................71

Fig. 2.42 C1 mole fraction in ET O’Daniel A1 compared to interior producers ......................71

Fig. 2.43 Relative enrichment of hydrocarbon fractions at ET O’Daniel A1 and interior

producers....................................................................................................................72

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I. Germania Unit Rate Forecasting Based on OtherWaterflood Pilots in the Spraberry Area

1.1 SummaryDue to the favorable results from DOE/NPTO Class III Field Demonstration Project inthe E.T. O’Daniel waterflood pilot (Schechter et al, 2002), we have extended ourwaterflood techniques to the Germania unit. Based on recent technological developmentand intensive research, both basic and applied, we have gained a new understanding ofproper procedures for waterflooding Spraberry reservoirs.

The Germania unit is selected for a waterflood pilot candidate based on severalquantitative and qualitative criteria such as history of waterflood (cumulative injectionand production per acre), condition and number of existing injection and productionwells, source of water injection, surface facilities etc. The Germania unit as well as otherwaterflood units in the Spraberry Area had been waterflooded with the conventionalwaterflood techniques applied in natural fractured reservoirs elsewhere, where allinjection wells were aligned parallel along major fracture trend in order to force the oil toflow in a direction perpendicular to the fracture trend towards a line of production wells.Based on our experience in this field and responses from successful waterflood projects,the injection wells should be aligned to production wells along the fracture orientation tohave fast responses and viable waterfloods. The pattern configuration for bothwaterflood techniques is presented in Fig. 1.1.

Many wells have been pre-maturely abandoned in the Germania Unit as well as in otherunits in the Spraberry Trend. Abandonment is the result of either low productivity orcasing failures due to corrosive nature of San Andreas water. We catalog all theproduction and injection wells since casing failures imply that unrecovered reserves arenear these wells and should be aligned immediately and directly along the fracture trendto mobilize and sweep this oil to production wells that are still active (Schechter et al.,2000).

The objectives of this report are, thus, to propose the location of new injection wells, toreview wellbore status in Germania unit and to forecast the incremental oil recoverybased on waterflooding performance in other waterflood pilot area in order todemonstrate the benefit of waterflooding in Germania unit area. We endeavor to developmanagement practices to rapidly exploit Spraberry waterflood reserves.

1.2 Waterflood History of Germania Unit

Figure 1.2 is the Germania unit layout with 31 wells that have available injection andproduction data. The waterflooding was initiated at the end of 1965 and continued untilJan 1992. We divided the on-trend and off-trend wells based on the location of injection

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wells to the production wells and fracture orientation. For example, water injection GSU-6 is in the on-trend location to GSU-12 and off-trend location to GSU-3 and GSU- 13.

Any changes in water, oil and gas production during the waterflood period are classifiedas waterflood responses. The responses of waterflood to off-trend and on-trend wells aretabulated in Table 1. Sometimes it is difficult to differentiate which injection wellsaffected the production wells. For example, injection wells GSU-11 and GSU-22 that arelocated in off-trend direction to the production wells GSU-12 and GSU-21, respectively,seems to be affecting those production wells. By analyzing the response in details, wefound that those production wells were affected by on-trend injection wells GSU-6 andGSU-27, respectively.

The line drawn between injection and production wells indicates a communicationbetween those wells (coupling) during waterflood period. Couplings between injectionand production wells obtained from this study are oriented to the known fractureorientation in NE-SW direction (Schechter et al, 2002). Not all injection wells affectedthe offset production wells. Injection wells GSU-8, GSU-11 and GSU-15 did not havesignificant effect on surrounding oil production wells, either in the on-trend or off-trendproduction wells. The reasons behind this are still unclear. It may be inadequate volumeof water that has been injected or lack of fracture density around this area.

Based on some criteria discussed previously, Germania unit has been chosen as awaterflooding pilot. Pioneer Natural Resources proposed the location of new injectionwells as shown in Fig. 1.2. The seven proposed injection wells have a blue circle symbol.From the results of coupling between injection and production wells show that thelocation of proposed injection wells GSU-408A and GSU-10 should be relocated becausethey are located on old injector path.

To have a better analysis of production data from Germania Unit and avoid the ambiguityanalysis we collected and organized injection and production data followed bydeveloping a database using software donated by Schlumberger (OFM). Using thissoftware, we were able to see the old waterflood performance and identify casing failuredue to the corrosive nature of San Andreas water resulting in premature abandonment ofSpraberry well bores. This OFM software can also be interfaced with real time dataacquisition so that daily analysis of response can be monitored and analyzed from remotelocation.

Figure 1.3 shows the history of cumulative water injection and the results of waterinjection on oil production (Fig. 1.4). It shows that wells located in the NE-SW locationresponded to water injection and water injection improved oil recovery in this area. Thewater injection not only affected the oil production but also increased the waterproduction. Production wells GSU-10 and GSU-16 had the highest cumulative waterproduction. When we plotted the cumulative water oil ratio (CWOR), it shows that theproduction wells GSU-1, GSU-315A and GSU-5 had the highest CWOR (Fig. 1.5). Thehigh CWOR indicates that the wells might have casing leaks. Pioneer corroborated sameproblem in the field. Well GSU-1 has been plugged and abandoned. Well GSU-315A has

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been temporarily abandoned. The leaks in well GSU-5 have been fixed. Near these wells,oil is still unrecovered and should be mobilized to production wells that are still active.

Figure 1.6 shows the CWOR in the bubble plot map. The difference between this mapand the previous contour map is that the bubble map shows actual magnitude of thenumber to identify trends and anomalies in a project while the contour map usesinterpolation techniques i.e. kriging, spline and nearest neighbor to create the isopachs, orareas, for a map image.

To identify the location of new wells (infill wells) and oil spot, we can employ the watercut map as our base analysis (Fig. 1.7). It becomes apparent from the map that theGermania unit has un-swept areas. Wells GSU-13, GSU-25 and GSU-17 would be goodproducers when the new water injection pattern concept is applied since the water cutsaround those wells are still low. Low total oil production and insignificant total waterinjection indicate that the Germania unit is an excellent target for waterflooding. Figure1.8 shows the water injection history of four injection wells and the cumulative waterinjection. The total water that had been injected was about 2.5 MMbbls for about 20years. The production summary and the number of wells in the unit area are shown inFig. 1.9. The average oil production per well was ranging from 4 to 29 bopd. The infillwells show instantaneous increase in oil production but later the production faded away.In Sep-92, the average production rate was 8.5 bopd and after adding a total of 23 wellsin March-93, the production jumped to 28.7 bopd (Fig. 1.10). Similar productionresponse was exhibited at successive infill wells.

The decline curve analysis was conducted to define the baseline of waterflooding so thatthe excess production due to infill wells and waterflooding can be quantified. Due to thenature of oil production rate from the naturally fractured reservoir, a hyperbolic-typedecline curve was used to fit the production trend and forecast the future production rate.The following well-known decline curve equation is presented below:

nioi Tndqq

1

)1( += .........................................................................................(1)

where qo is the initial rate (bopd), n is the fractional power exponential decline(dimensionless), di is the nominal decline rate (1/day) and T is cumulative time (day).

Three cases were conducted in decline analysis:1. Fitting decline curve to data points before the infill wells started to compare the

performance of infill wells versus waterflooding.2. Fitting decline curve to all data points after peak rate to analyze the future

waterflood scenarios.3. Starting decline curve analysis from the last data point.

The first case: Since the waterflooding in this unit was terminated around May-90 andthe infill wells were started on Sep-92, thus, all incremental oil was a result of infill wellsonly. The result of decline curve analysis is depicted in Fig. 1.10. The decline curve was

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fitted until Mar-97 data points in order to take into account the production response dueto infill wells. The incremental oil recovery obtained as a result of infill well wascompared to the results of waterflooding in the ET O’Daniel Pilot. We divided twosuccessful waterflood performances, old ET O’Daniel performance (Guidroz, 1967) andcurrent ET O’Daniel waterflood pilot performance (1995-now) (Schechter et al, 2002).These two production performances were added on Sep-02 by assuming that theGermania unit would behave with a similarly response during water injection. The abruptchange shown in decline curve on Sep-02 was conducted to take into account the losingproduction rate due to conversion of 5 producers to injectors.

The cumulative oil comparisons between infill well and waterflooding scenarios aredemonstrated in Fig. 1.11. The incremental oil due to 15 infill wells is similar at about1100 days with incremental oil due to waterflood response from current ET O’Danielperformance. Meanwhile, the waterflood response from old ET O’Daniel performanceneeds only 400 days to reach the same production response due to infill wells. Evenbefore conducting the economic calculation, we can justify that the waterflooding wouldbe more economical than the incremental rate obtained from infill wells.

The second case: Again, we fitted the decline curve to all data points to analyze thefuture waterflood scenarios as shown in Figs. 1.12 and 1.13. We also used the old andcurrent ET O’Daniel waterflood performance for our prediction. We did a sensitivitystudy to forecast the resulting incremental oil rate by changing nominal decline rateabove and below base case decline as the case may be used for running projecteconomics (Figs. 1.14 and 1.15).

As our last case, we did the decline analysis from the last data point as shown in Fig.1.16. The old and current ET O’Daniel waterflood performances were also included forforecasting our incremental oil. We used current ET O’Daniel data as our best andpessimistic guesses and old ET O’Daniel data as our optimistic guess. This case alsoincludes a 14 bopd oil rate reduction due to the negative impact of converting threeknown existing producers to injectors (Fig.1.17). If this unit follows the incremental oilrecovery from ET O’Daniel waterflood, either old or current waterflood performances,we justify that the waterflooding would be economical and competing with othersecondary projects.

1.3 Waterflooding performances in the previous Germania unit andother units

Waterflooding in the naturally fractured Spraberry Trend Area reservoirs has always beenscorned resulting from ambiguity of performance data after water injection or results thatdid not conform to previously conceived notions. However, upon closer inspection,Spraberry water injection projects have all responded in a similar manner. Indeed,incremental oil was always recovered and production rates increased (Schechter et al.,2000).

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In order to analyze the old waterflood performances in Germania unit and other units, wegathered and compiled all production and injection data. Then reconstructed anddeveloped injection/production data using Oil Field Manager (OFM) database. Theexample of production data from GSU-21 that was used as an input parameter for OFMdatabase is presented in Fig. 1.18. A decline analysis was conducted to quantify thewaterflood response (Fig. 1.19). All production wells in this unit have been analyzed andthe waterflood response has been quantified (Appendix-A). A total of 120,000 bbls oilhas been recovered due to waterflooding in this area over 25 years with total injection of2.5 MMbbls (Fig. 1.20). The waterflood response in this unit resulted in a lack ofconfidence in water injection as a result many wells face abandonment. The small amountof oil that has been recovered due to waterflooding and negligible amount of water thathas been injected for 25 years warrant that this unit would be potential for recovering oilwith proper management practices during water injection.

We have reviewed waterflood performance in other units in order to demonstrate thebenefit of waterflooding in this area and to reach a stage of development of managementpractices that could eventually help for conducting successful water injection inGermania Unit. The previous summary of waterflood projects in other units issummarized in Table 2 and can be found in PUMP semi annual report (Putra andSchechter, 2002). Waterflood performance in the E.T. O’Daniel has been reviewed inPUMP proposal (Schechter and Putra, 2000) and Guidroz’s paper (1967). We provide aproduction summary and decline analysis for this area as found in Appendix-B. Anupdated review of current E.T. O’Daniel pilot is presented in the next section.

1.4 Conclusions

1. Proposed injection wells GSU-408A and GSU-10 should be relocated because theyare located along old injector paths.

2. Based on the high WOR map, production wells GSU-1, GSU-315A and GSU-5 mayhave casing leaks.

3. Waterflooding in the Germania Unit would be economical and compete favorablywith other secondary projects.

4. Spraberry water injection projects in other waterflood units increased oil productionrates and improved ultimate recovery.

5. The amount of historical water injection in Germania unit was very low compared tothe water injection rate in other waterflood units. Based on the injection rate in otherpilots and by aligning the water injection parallel to production wells along thefracture orientation, this unit could be successfully flooded with total injection ratesbetween 2000 and 2500 bwpd.

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1.5 References

McDonald, P., Lorenz, J. C., Sizemore, C., Schechter, D.S., and Sheffield, T.: “FractureCharacterization Based on Oriented Horizontal Core From the Spraberry TrendReservoir: A Case Study” paper SPE 38664 presented at the 1997 Annual TechnicalConference and Exhibition, San Antonio, Tx, 5-8 October.

Guidroz, G.M.: “E.T. O’Daniel Project – A Successful Spraberry Flood,” paper SPE1791 presented at the 1967 Sixth Permian Basin Oil Recovery Conference, Midland, 8-9May.

Schechter, D.S., Putra, E. and Knight, W: “Preferred Waterflood Management Practicesfor the Spraberry Trend Area,” Proposal submitted to DOE contract No.: DE-FC22-95BC14942 (August 2000).

Schechter, D.S.: “Advanced Reservoir Characterization and Evaluation of CO2 GravityDrainage in the Naturally Fractured Spraberry Trend Area,” Final Technical Report,DOE contract No.: DE-FC22-95BC14942 (June 2002).

Putra, E. and Schechter, D.S.: “Preferred Waterflood Management Practices for theSpraberry Trend Area,” Semi Annual Technical Report, DOE Contract No.: DE-FC26-01BC15274 (Mar 2002)

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Table 1 – Coupling between injector and producers

Injector Waterfloodperiod

On-trendwell

Responding Off-trendwell

Responding Remarks

G.S.U. #6 01/72 - 05/89 GSU#12 Oil, gas andwater

GSU#3GSU#13

NoneNone

G.S.U. #8 08/71 - 02/77 GSU#2 None GSU #1GSU #7

WaterNone

G.S.U. #11 12/65 - 01/6802/70 - 02/75

GSU#31GSU#13GSU#3GSU#20GSU#19

NoneNoneNoneNoneNone

GSU#10GSU#17GSU#12

GSU#7

NoneNoneOil, gas andwaterNone

#19 wasconverted toWIW#12 was affectedby WIW#6

G.S.U. #15 09/71 - 01/92 GSU#14 NoneNone

GSU#13GSU#16

NoneNone

G.S.U. #19 06/70 - 01/77 GSU#10 Oil, gas andwater

GSU#20GSU#9

NoneOil, gas andwater ???

G.S.U. #22 06/70 - 01/76 GSU#16

GSU#26

Oil, gas andwaterOil, gas andwater

GSU#21GSU#23GSU#17GSU#25

WaterNoneNoneNone

#21 was affectedby WIW#27

G.S.U. #27 06/70 – 01/77 GSU#21 water GSU#26GSU#20

NoneNone

Table 2 – Summary of waterflood projects

Pilot area Duration ofwaterflooding

Cumulative waterinjection/No. ofinjection wells

Cumulative oilproduction/No. ofproduction wells

Germania unit ~19 ~2,500,000 (4)

(~1000 bwipd)

~80,000 (5)

Current E.T O’Daniel ~3 ~1,600,000 (6)

(~2000 bwipd)

~110,000 (4)

Old E.T O’Daniel ~26 ~17,600,600

(~2500 bwipd)

~2,200,000

Midkiff “Mc Donald” unit ~2 ~1,400,000* (4)

(~2000 bwipd)

~40,000 (15)

Midkiff “Heckman” unit Since 1996 - ~60,000 (18)

*) injected only in Upper Spraberry layer

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a. New waterflood technique b. Old waterflood technique

Fig. 1.1 - The new and old waterflood patterns applied in Naturally Spraberry TrendArea.

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Fig. 1.2 - The Germania Unit Layout showing couple between injectors and producerstaken from old waterflood history.

Tr. 5

Tr. 6

Tr. 1

Tr. 2

Tr. 4

Tr. 3

31

41

42

43

44

45

5

6

36

37

48

1

32

33

40

T&P

BLK. 36

T1S

SF 1

6482

1

11

1

11

1

2

1

1

11

1

28

1616

1717

15

1

1818

21

2626

27

2020

23

2525

2222

122

1

1

34

2

9

24

10

1919

11

12

29

2

13

1

2

1

3

11

1

1

1

1

1

30

11

4

1

2

1414

1

31

1

16

1

6

1

1

1

1

1

407A407A

117A

206A

116A

602A

406A

113A

405A

207A

118A

408A

121A

208A

310A

119A

502A

409A

123A

313A

124A

2

126A

125A209A

410A

129A

411A

130A

210A

131A

211A

603A

318A

317A

132A

503A

111

1

2

1

411

2

11

2

2

1

314A

315A

1

1

1

1

1

1313

7

2

8

1 6

5

14

3

1

1

1

1

2

1

3

1

1

3

1

3

11

205A

308A

114A

309A

115A

311A

120A

122A

312A

127A

128A

316A

133A

134A

135A

136A

137A

138A

139A

140A

141A

142A

143A

144A

145A

146A

213A

212A

214A

215A

216A

412A

413A

415A

414A

504A

604A

319A320A

321A

322A

323A

324A

325A

326A

327A

331A

329A

330A

328A

332A

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Fig. 1.3 – Cumulative water injection map in the Germania Unit.

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Fig. 1.4 – Cumulative oil production map in the Germania Unit.

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Fig. 1.5 – Cumulative water oil ratio map in the Germania Unit.

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Fig. 1.6 – Cumulative water oil ratio bubble map in the Germania Unit.

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Fig. 1.7 – Cumulative water cut map in the Germania Unit.

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0

5000

10000

15000

20000

25000

Jun-68 Mar-71 Dec-73 Aug-76 May-79 Feb-82 Nov-84 Aug-87 May-90 Jan-93TIME (DATE)

INJE

CTI

ON

RA

TE (B

BLS

/MO

)

0

500000

1000000

1500000

2000000

2500000

3000000

CU

M. W

ATE

R IN

JEC

TIO

N (B

BLS

)

GSU-19 GSU-6 GSU-22 GSU-27 Cum. Injection

Fig. 1.8 – Historical water injection rate in the Germania Unit .

0

20,000

40,000

60,000

80,000

100,000

120,000

Jun-68 Dec-73 May-79 Nov-84 May-90 Oct-95 Apr-01 Oct-06

TIME (DATE)

PRO

DU

CTI

ON

RA

TE

0

10

20

30

40

50

60

70

NU

MB

ER O

F W

ELLS

OIL (STB/M) GAS (MSCF/M) WATER (BBLS/M) No. OF WELLS

Fig. 1.9 – Production summary of the Germania Unit.

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0.00

100.00

200.00

300.00

400.00

500.00

600.00

700.00

800.00

900.00

1000.00

1100.00

Sep-91 Jun-94 Mar-97 Dec-99 Sep-02 May-05 Feb-08

TIME (DATE)

PRO

DU

CTI

ON

RA

TE (B

OPD

)

0

10

20

30

40

50

60

70

NU

MB

ER O

F W

ELLS

Old ET O'Daniel Waterflood Performance

Current ET O'Daniel Pilot Waterflood Performance

Fig. 1.10 – Oil production history and decline curve analysis for the Germania Unit .

0

50000

100000

150000

200000

250000

0 200 400 600 800 1000 1200 1400 1600 1800

TIME (DAYS)

CU

MU

LATI

VE P

RO

DU

CTI

ON

(BB

LS)

Infill Wells Current ET O'Daniel Pilot Respond Old ET O'Daniel Respond

Incremental oil due to 15 infill wells

Expected Waterflood Respond from Current ET O'Daniel Performance

*) 5 out of 41 producers are converted to injectors

Expected Waterflood Respond from Old ET O'Daniel Performance

Fig. 1.11 – Comparison of cumulative production between infill wells and waterfloodresponses in the Germania Unit.

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0.00

200.00

400.00

600.00

800.00

1000.00

1200.00

Sep-91 Jun-94 Mar-97 Dec-99 Sep-02 May-05 Feb-08

TIME (DATE)

PRO

DU

CTI

ON

RA

TE

0

10

20

30

40

50

60

70

NU

MB

ER O

F W

ELLS

OIL (STB/D) Decline Line Expected Waterflood Respond No. OF WELLS

Incremental oil due to increasing number of wells

Incremental oil expected due to waterflood respond. Note : 5 out of 41 producers are converted to injectors

Fig. 1.12 - Decline curve analysis taken from all data points and continued with theforecasting incremental oil from current E.T.’O’Daniel waterflood performance.

0.00

200.00

400.00

600.00

800.00

1000.00

1200.00

Sep-91 Mar-97 Sep-02 Feb-08 Aug-13 Feb-19 Jul-24

TIME (DATE)

PRO

DU

CTI

ON

RA

TE

0

10

20

30

40

50

60

70

NU

MB

ER O

F W

ELLS

OIL (STB/D) BaseLine ET ODaniel Rate 125% Dec. Rate 75% Dec. Rate No. OF WELLS

125% Decline RateBaseline

75% Decline Rate

Incremental oil expected due to waterflood respond. Note : 5 out of 55 producers are converted to injectors

Future Forecasting

Fig. 1.13 – Decline curve analysis taken from all data points and continued with theforecasting incremental oil from old ET’O’Daniel waterflood performance.

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0.00

100.00

200.00

300.00

400.00

500.00

600.00

Nov-01 May-02 Dec-02 Jun-03 Jan-04 Aug-04 Feb-05 Sep-05 Mar-06 Oct-06

TIME (DATE)

PRO

DU

CTI

ON

RA

TE (B

OPD

)

125% Decline Rate

Baseline75% Decline Rate

Fig. 1.14 - Nominal decline rate above and below base case decline curve for current E.T.O’Daniel waterflood performance.

0.00

100.00

200.00

300.00

400.00

500.00

600.00

700.00

800.00

900.00

1000.00

1100.00

Nov-01 Aug-04 Apr-07 Jan-10 Oct-12 Jul-15 Apr-18 Jan-21

TIME (DATE)

PRO

DU

CTI

ON

RA

TE (B

OPD

)

125% Decline Rate

Baseline75% Decline Rate

Fig. 1.15 - Nominal decline rate above and below base case decline curve for oldE.T.O’Daniel waterflood performance.

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0.00

200.00

400.00

600.00

800.00

1000.00

1200.00

Sep-91 Jun-94 Mar-97 Dec-99 Sep-02 May-05 Feb-08 Nov-10 Aug-13 May-16

TIME (DATE)

PRO

DU

CTI

ON

RA

TE

0

10

20

30

40

50

60

70

NU

MB

ER O

F W

ELLS

OIL (STB/D) Without doing anything No. OF WELLS

Future Forecasting

Fig. 1.16 – Decline curve analysis taken from last data points.

0.00

200.00

400.00

600.00

800.00

1000.00

1200.00

Sep-91 Jun-94 Mar-97 Dec-99 Sep-02 May-05 Feb-08 Nov-10 Aug-13 May-16

TIME (DATE)

PRO

DU

CTI

ON

RA

TE

0

10

20

30

40

50

60

70

NU

MB

ER O

F W

ELLS

OIL (STB/D) BaseLine Optimistic Guess Without doing anythingPessimistic Guess Best Guess No. OF WELLS

Pessimistic Guess

Best Guess

Optimistic Guess

-14 BOPD due to conversion of three producers to injectors.

Fig. 1.17 – Decline curve analysis taken from last data points and continued with theforecasting incremental oil from old and current ET’O’Daniel waterflood performance.

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10

100

1000

10000

Jun-57 Mar-60 Dec-62 Sep-65 Jun-68 Mar-71 Dec-73 Aug-76 May-79

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/MO

NTH

)

100

1000

10000

100000

GA

S R

ATE

(MSC

F/M

O) a

nd W

ATE

R R

ATE

(B

BLS

/MO

)

GSU - 21

Fig. 1.18 – Production summary of GSU-21.

1.00

10.00

100.00

3/25/60 12/20/62 9/15/65 6/11/68 3/8/71 12/2/73 8/28/76 5/25/79 2/18/82

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/D)

GSU - 21Waterflood started

(May-1969)Waterflood ended

(Apr-1978)

Fig. 1.19 – Decline curve analysis of GSU-21.

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0

10000

20000

30000

40000

50000

60000

70000

80000

90000

Sep-65 Jun-68 Mar-71 Dec-73 Aug-76 May-79 Feb-82 Nov-84 Aug-87 May-90 Jan-93Time (Date)

Cum

ulat

ive

Oil

Prod

uctio

n (B

BLS

)

0

1

2

3

4

5

6

No.

Of W

ells

Fig. 1.20 – Cumulative oil recovery due to waterflood in the Germania unit.

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Appendix-A

Production Summary and Decline Analysis of Germania Wells

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10

100

1000

10000

Jun-57 Dec-62 Jun-68 Dec-73 May-79 Nov-84 May-90 Oct-95

TIME (DATE)

OIL

RA

TE (B

BLS

/MO

NTH

)

100

1000

10000

100000

GA

S R

ATE

(MSC

F/M

O) A

ND

WA

TER

RA

TE

(BB

LS/M

O)

GSU - 10

Fig. 1.1A – Production summary of GSU-10.

1

10

100

1000

Jun-57 Dec-62 Jun-68 Dec-73 May-79 Nov-84 May-90 Oct-95

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/D)

GSU - 10

Waterflood started(Jun-1970)

Waterflood ended(Jan-1977)

Fig. 1.2A – Decline curve analysis of GSU-10.

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10

100

1000

10000

Dec-73 Aug-76 May-79 Feb-82 Nov-84 Aug-87 May-90 Jan-93 Oct-95

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/MO

NTH

)

100

1000

10000

100000

GA

S R

ATE

(MSC

F/M

O) a

nd W

ATE

R R

ATE

(B

BLS

/MO

)

GSU - 12

Fig. 1.3A – Production summary of GSU-12.

1.00

10.00

100.00

Mar-60 Sep-65 Mar-71 Aug-76 Feb-82 Aug-87 Jan-93 Jul-98

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/D)

GSU - 12 Waterflood started(Jan-1972)

Waterflood ended(Sep-1989)

Fig. 1.4A – Decline curve analysis of GSU-12.

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10

100

1000

10000

Feb-56 Nov-58 Aug-61 May-64 Jan-67 Oct-69 Jul-72 Apr-75 Jan-78 Oct-80

TIME (DATE)

OIL

RA

TE (B

BLS

/MO

NTH

)

100

1000

10000

100000

GA

S R

ATE

(MSC

F/M

O) A

ND

WA

TER

RA

TE

(BB

LS/M

O)

GSU - 16

Fig. 1.5A – Production summary of GSU-16.

1.00

10.00

100.00

Mar-60 Dec-62 Sep-65 Jun-68 Mar-71 Dec-73 Aug-76 May-79 Feb-82

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/D)

GSU - 16Waterflood started

(Nov-1969)Waterflood ended

(Dec-1975)

Fig. 1.6A – Decline curve analysis of GSU-16.

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10

100

1000

10000

Jun-57 Dec-62 Jun-68 Dec-73 May-79 Nov-84 May-90 Oct-95

TIME (DATE)

OIL

RA

TE (B

BLS

/MO

NTH

)

100

1000

10000

100000

GA

S R

ATE

(MSC

F/M

O) A

ND

WA

TER

RA

TE

(BB

LS/M

O)

GSU - 26

Fig. 1.7A – Production summary of GSU-26.

1.00

10.00

100.00

Mar-60 Sep-65 Mar-71 Aug-76 Feb-82 Aug-87 Jan-93 Jul-98

TIME (DATE)

OIL

PR

OD

UC

TIO

N (B

BLS

/D)

GSU - 26Waterflood started

(Nov-1969)Waterflood ended

(Dec-1975)

Fig. 1.8A – Decline curve analysis of GSU-26.

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Appendix – B

Production Summary and Decline Analysis of the Historical E.T. O’Daniel UnitWaterflood

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1

10

100

1000

10000

Apr-49 Oct-54 Mar-60 Sep-65 Mar-71 Aug-76 Feb-82TIME (YEARS)

OIL

AN

D W

ATE

R P

RO

DU

CTI

ON

(BB

LS/D

)W

ATE

R IN

JEC

TIO

N (B

BLS

/D)

0.1

1

10

100

GA

S O

IL R

ATI

O (M

CF/

BB

L)

Oil Production

Produced Water

Water Injection

GOR

Oil Production Decline

Fig. 1.1B – Production summary of old E.T. O’Daniel unit.

Fig. 1.2B – Incremental oil recovery of old E.T. O’Daniel unit.

0

50

100

150

200

250

300

350

400

450

4/12/49 10/3/54 3/25/60 9/15/65 3/8/71 8/28/76 2/18/82

TIME (YEARS)

OIL

PR

OD

UC

TIO

N (B

OPD

)

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0

500000

1000000

1500000

2000000

2500000

4/12/49 10/3/54 3/25/60 9/15/65 3/8/71 8/28/76 2/18/82

TIME (YEARS)

CU

MU

LATI

VE O

IL P

RO

DU

CTI

ON

(BB

LS)

Fig. 1.3B – Cumulative oil production of old E.T. O’Daniel unit.

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II. EVALUATION OF CURRENT E.T O’DANIEL CO2 PILOT

2.1 SynopsisThe operational philosophy of this project is to test the technical and economicalfeasibility of using Carbon-di-Oxide (CO2) for recovering the tertiary oil in the Spraberryreservoir.

The site chosen was the ET O’Daniel Lease, which had a successful waterfloodinghistory 1, 2 and was most appropriate for conducting a tertiary recovery program. Theproject was initiated in 1994 but actual injection of CO2 flooding commenced onFebruary 26th 2001. Extensive characterization studies extending from laboratoryexperiments to field tests3-6 were carried out in the preceding seven year period.

The evaluation of the project performance from 1999 to 2002 is presented here. We havedeveloped a database by incorporating injection, production, tracer and gas sample datainto OFM(software donated by Schlumberger) for generating contours, grid maps andplots to evaluate and visualize the flood performance in greater detail. This chapterdiagnoses the response of the pilot starting from the waterflooding and subsequent CO2flooding by interpreting information collected from the following sources:1. Production data from the interior, on-trend and off-trend producers2. Tracer tests3. Well logs from logging observation wells (LOW)4. Temperature Logs

In addition, a method to determine the waterflood baseline to quantify CO2 incrementaloil recovery using decline curves is presented.

2.2 IntroductionThe ET O’Daniel lease shown in Fig. 2.1 is located in Midland County, West Texas andforms a part of the Spraberry Trend area. Geologically, the reservoirs are part of thePermian Basin and comprise of typically low porosity, low permeability fine sandstonesand siltstones that are interbedded with shaly non-reservoir rocks. Natural fracturesexisting over a regional area have long been known to dominate all aspects ofperformance in the Spraberry Trend Area7.

It has been mentioned1 that Section 4 T2S Block 37 of the E.T. O’Daniel lease wasresponsible for more than 50% of the production due to waterflooding. This area waschosen for the location of the pilot both for its excellent production history as wells as theregional structure height, which could assist in gravity drainage. The pilot area as shownin Fig. 2.2 comprised of six peripheral water injectors, three producers, two observationwells and four CO2 injectors. The hexagonal pattern was found to effect maximumconformance.

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In order to visualize and understand the performance of the ET O’daniel lease during theCO2 flood pilot project in an effective manner, a brief summary of the lease performancein the preceding years, from 1959 –1999 is explained in the following paragraphs.

The cumulative oil production grid map during the primary depletion period (Fig. 2.3)indicates that ET O’Daniel 1 produced a very high amount of oil as compared to the otherwells in the surrounding areas.

The extent of water swept areas is shown in Fig. 2.4. From the cumulative water cutcontours it is evident that water is moving through the fractures in a northeasterlydirection. The darkened areas are quite uniformly spread implying that most of the areahas been waterflooded. The cumulative oil and gas production (Figs. 2.5 and 2.6) duringthe corresponding period shows high production in the on-trend wells indicating goodcommunication between wells lying along the main fracture trend.

The overall performance of the lease both during primary depletion and the subsequentwaterflooding in 1959 is illustrated in Fig. 2.7 with peak production reaching close to1000 bopd in 1952 and then receding to about 90 bopd in 1959. This receding productionprompted the operators to intiate a waterflood and in the next 42 years, the ET O’DanielLease as well the surrounding areas were continously depleted by injecting water.

2.3 Review of waterflood performanceThe objective of the pre-CO2 flood water injection was to raise the pressure of E TO’Daniel pilot area from 480 psia (1999 estimate) to a pressure above 1550 psia, whichwas the minimum miscibility pressure (MMP), found from experimental analysis. A250bbl/d water slug was injected into each of the six wells to prepare the area for CO2injection by maintaining the pressure to form protective ring around the pilot area duringthe CO2 injection inside the pilot area.

Waterflooding started in October 1999 and the three central production wells, theO’Daniel #38, #39, and #40 have shown little or no response to water injection asanticipated earlier since this is a 40-year-old waterflood area. It was assumed there wouldbe minimal response from water injection and the area was at residual oil saturation.

However, a rapid increase in oil production was noted in several wells directly along anN32°E orientation (Fig. 2.8). Some wells located over one mile from the injection wellsresponded within days of initiation of water injection whereas wells orientedperpendicular to injection wells at a fraction of the distance from injection wells haveshown little or no response. The counter-current and co-current imbibition mechanismsalong with high permeability anisotropy facilitated the oil production rate to increase onthe on-trend wells during high water injection. Due to weakly water wet and low matrixpermeability, the off-trend wells continued to produce at low rate similar to pre-injectionrates. It might be possible that the off-trend wells will respond in the future.

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Rapid increase in oil production rate at on-trend wells, Brunson C-2, O’Brien B-1 andBrunson G-1, Brunson F-1 and water-out at Brunson A-1 located far away from the pilotarea clearly indicates the presence of un-swept oil (Figs. 2.8 and 2.9). This shows that theinjected water can spread towards the Brunson field in a matter of few days indicatingthat the permeability ratio is highly anisotropic. It also indicates that the fractures arecontinuous and might have multiple orientations.

To throw more light on the oil production at far away wells, a scrutiny of the watermovement patterns needed to be studied. A tracer injection program was initiated in Aug1999 in order to understand the fracture network in this area. Six different chemicaltracers were injected into each of the water injectors and the response was recordedcontinously at 29 surrounding wells. Of the 29 wells sampled, 15 wells showed tracerbreakthrough within the first two days after tracer injection started, indicating that thefracture system had very high permeability. The fracture system facilitates transport offluids through long distances in short times (more than 3,000 ft in two days), reachingfrom Floyd “B1” to Brunson “D1”. The tracer response in Fig. 2.10 shows that thefracture network is highly interconnected and the quickest response is seen in the on trendwells.

Detailed analysis of the tracer patterns revealed that the tracers were moving through twopaths. This is elaborated by noticing the response at ET O’Daniel A1, the first slugreaches A1 in 5 days and another slug after 29 days. This delayed response could indicatethat the first slug of tracer moves through the shortest fracture path via 1U and the nextslug moves through a longer path via 5U. Figs. 2.11-2.13 illustrate these findings, a closelook at the bubble map response at ODA1 indicates two samples of high tracerconcentration reaching A1 at different times.

The result also reveals that placement of production wells along the fracture orientationcould significantly increase oil production if water injection could be optimized. Theresults oppose the previous belief that on trend injection wells channel via fractures andrapidly water out production wells.

2.4 CO2 Flood Performance- Review of production dataCO2 injection into the Spraberry formation was started on Monday, February 26th 2001after remedial action was taken on cement problems at one of the logging observationwells.

In order to maintain a target of 200 RVB/D of CO2 injection, the water injection rate wasrevised from 280 to 245 BWPD. A few minor glitches such as the CO2 turbine metersgetting clogged with debris were encountered.

Each CO2 injector experienced some unique problem during start-up but there hasn’t beena problem, which has warranted serious remedial action. The battery monitoring the fourwells closest to the pilot shows that the interior producers (wells #38, #39 and #40) haveexperienced increased percentage of CO2 in about 3 weeks of CO2 injection.

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Surprisingly, well O’Daniel A1 (Fig. 2.14), which lies directly along the NE-SW fractureorientation, has observed a moderate CO2 break-through till March 2002. This might bedue to high pressure around the six-ring fence that restricts the movement of CO2 outsidethe pilot area. The line of production wells experiencing high CO2 fraction are along thenatural fracture trend and perpendicular to the CO2 injection wells. This clearly indicatesthat a direct communication exists between injection wells and production wells due toinduced fractures that may have been created during step rate or pulse testing periods.

The sudden rise in CO2 production at ET O’Daniel A1 can be attributed to a change ininjection pattern, which came into effect in March 2002. The change in injection patternwherein two producers (O’Daniel 38 and O’Daniel 39) were closed, two CO2 injectors(O’Daniel 42 and O’Daniel 44) were closed and one water injection well (O’Daniel 48)was closed. These changes in the pilot were made to observe CO2 incremental oilrecovery at wells O’Daniel A1 and Brunson F1.

Due to high rate of gas production at the interior wells, a cyclic injection scheme of wateralternating gas (WAG) was initiated in order to retain the injected CO2 inside thereservoir for a longer period of time and thereby facilitate extraction of oil. The CO2injectors were converted to water injectors periodically while keeping up the totalinjection volume intact to keep up the reservoir pressure in-between that of minimummiscibility pressure and minimum parting pressure (Fig. 2.15).

A closer look at the rate of gas production at the interior wells reveal that at the end ofevery CO2 injection cycle, the gas production rate at the producers decreased but the nextCO2 cycle produced CO2 at a higher rate than the previous one and the cyclic progressionof CO2 injection reveals that O’Daniel A-1 also started producing the gas from a laterperiod (Fig. 2.14). The fall in gas production at the interior producers after March 2002 isdue to the closure of the two producers (O’Daniel 38 and O’Daniel 39). But this closurealong with the injection of CO2 from the two injectors has increased the production at A1as more and more CO2 is being channeled through the fractures.

In spite of CO2 breakthrough, no immediate oil response was observed in the interiorproduction wells until the injection pattern was changed as shown in Fig. 2.14. Earlier,the CO2 from #43 and #44 was just moving straight to the producers without affectingany sweep, moreover, the stoppage of water injection #48 has eased the pressure in thepilot area a little bit and CO2 has become more mobile, thus showing evidence ofmovement to A1. This could be due to the movement of CO2 in the shale layers ormovement of CO2 above the pay zones (1U and 5U) as concluded from the loggingobservation wells and temperature log analyses.

Even though the rate of gas production has been high at the interior wells the totalvolume of CO2 produced is still less compared to the amount of CO2 remaining in thereservoir (Fig. 2.16). The difference between the amount of CO2 injected and producedshows that 60% of the CO2 still remains in the reservoir and we could expectmobilization of extracted oil to the production wells at a later period.

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In addition, Fig. 2.17 shows that only 17% of the total water has been produced whichfurther strengthens our premise that more oil could be produced at a later date.

The response from the injected water and CO2 can be best illustrated by comparing theoil production rates of four wells, Brunson A1, Brunson C2, Brunson G1 and O’BrienA1. Figure 2.18 indicates a linear increase in production in each of the four wells, sincewater injection started in 1999 and is confirmed by the darkened areas in the contourshown in Fig. 2.7.

Recently, the oil production from O’Brien A1 came into a strong debate as some sourcescontested that increase in production was due to lease electrification carried out in Jan2001(Fig. 2.19) and the CO2 was not responsible for the increase in production. But theproduction trend followed by four wells coupled by a comparison between oil rates (Fig.2.20) in Brunson F1 and O’Brien B1 shows that this is not true and even the CO2/waterinjection should be considered while evaluating the response at the debated well.

In order to get a good response from a multiple contact CO2 miscible displacement, agood proportion of CO2 has to be injected. As of September 2002, the volume of CO2injected is still very small (about 122700 MSCF) when compared to the volume of waterinjected. The small area covered by CO2 illustrated in Fig. 2.21.

Wells such as Brunson F-1, Brunson C-2 and Brunson G-1 located at distances more than5,000 feet away from the pilot area along naturally fractured trend started respondingonly after a water volume at least equivalent to about three times that of CO2 volume wasinjected (Fig. 2.22). A grid map of cumulative CO2 fraction produced indicates that apartfrom the three internal producers only Brunson F-1 has actually “seen” CO2 (Fig. 2.23).This shows that more CO2 has to be injected in order to produce oil at far off wells. Mostof the oil (other than the interior wells) produced is mostly from O’Daniel A-1 (Fig.2.24). The effect of incremental oil recovery due to CO2 is seen by the productionresponse after March 2002. The cumulative oil production at the interior wells is reducedbecause of the closure of the two producers and the gas injected is now moving towardsO’Daniel A-1 and extracting the oil out. Fig. 2.25 shows the comparison between the oilrate and gas rate observed at O’Daniel A1. Each time there has been an increase in gasproduction rate, the oil production rate has simultaneously increased. This shows that thatthere is unrestricted movement of CO2 through the fracture towards A1.

But an increase in water rate at O’Daniel A-1 (Fig. 2.26) has produced less oil inO’Daniel A-1 if both Figs. 2.23 and 2.24 are compared at the same time periods.

The effect of closing down one water injector on the water rate profile of the interiorproducers and O’ Daniel A1 is shown in Fig. 2.25. The effect of a change in injectionpattern from 03/16/2002 reveals that less water is being produced at O’Daniel A1 as seenin Fig. 2.25.

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In order to obtain a sound basis for determining the production of oil due to CO2 alone, adecline curve analysis was carried out. The best indicator of CO2 flood response untilnow at Spraberry reservoir has been at O’ Daniel A1. Figure 2.27 shows an increase in oilrecovery after the CO2 injection was started as compared to the earlier years ofwaterflood. Figs. 2.28 and 2.29 show the depletion of Spraberry reservoir before thewaterflooding was started. The date at which the oil production was the highest waschosen and the subsequent decline in production for various scenarios (50%, 20%, 150%,and 200%) were evaluated.

Here, the cumulative oil production from the different decline scenarios reveals that acombined recovery in the range of 1500-4000 bbls was projected with CO2 floodingconducted in the time period between Feb 2001 and Jul 2002.

Continuing on the decline curve analysis, the depletion of the reservoir due towaterflooding of the pilot area alone is depicted in Figs. 2.30 and 2.31. Again a similarset of decline rates have been used to project the performance of CO2 flood in the pilotarea. The range of recovery estimated is around 2400 to 4200 bbls in the stipulated periodbetween Feb 2001 and Jul 2002. The sharp rise in production forecasts after March 2002is due to change in injection pattern and brings out the importance of understanding thecommunication between the wells and its location with respect to the main fracture trend.

2.5 Review of logging dataTwo wells ET O’Daniel 49 and ET O’Daniel 50 were specifically utilized for runninglogs and were classified as logging observation wells (LOW). Logging runs werefrequently conducted to survey the vertical distribution of CO2 inside the upper Spraberryinterval.The upper Spraberry interval consists of 5 zones, of which, two are pay zones (1U and5U) and the remaining are branded as non-pay zones. The pay zones have a combinedthickness of 30ft and their locations are shown in the Fig. 2.32.

Earlier studies8 show that there are three basic groups of rock in the Upper Spraberry: onewith porosity <7% and shale volume >15% (mostly mudstones and siltstones), one withporosity <7% and shale volume <15% (dolostones and dolomitic siltstones), and thereservoir pay zones that have shale volume of <15% and porosity >7%.

EvaluationThe location of the logging observation wells inside the pilot area was important; ETO’Daniel 49 was placed near a producer (ET O’Daniel 39) and in line with a waterinjector (See Fig. 2.2), whereas ET O’Daniel 50 was placed in between that of a CO2injector and a producer (ET O’Daniel 40).

The main idea of running logs in these wells were two fold:1. To detect the presence of carbon dioxide in the formation2. To evaluate the distribution of CO2 in the formation.

Logs were run at frequent intervals and their frequency is shown below:

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Type of Logs Used for Study

DateConducted

LoggingRuns

Well#49 Well#50Jan 31 2001 1 AIT*, GR, CNL** AIT*, GR, CNL**Feb15 2001 2 AIT*, GR, CNL** AIT*, GR, CNL**Feb18 2001 3 AIT*, GR, CNL** AIT*, GR, CNL**Mar16 2001 4 AIT*, GR, CNL** AIT*, GR, CNL**Apr 16 2001 5 AIT*, GR, CNL** AIT*, GR, CNL**Jun 12 2001 6 AIT*, GR, CNL** AIT*, GR, CNL**Aug 18 2001 7 AIT*, GR, CNL AIT*, GR, CNLDec 3 2001 8 AIT*, GR, CNL** AIT*, GR, CNL**

AIT* = AO 10, 20, 30, 60, 90AT 10, 20, 30, 60, 90AF 10, 20, 30, 60, 90(AT 90 HAS BEEN USED AS THE DEEP RESISTIVITY READING (Rt) FOR ALL CALCULATIONS

AHFCO 60, AHTCO 90CNL** = NPHI

The logs specifically used for study were the resistivity, gamma ray and the compensatedneutron log. Primarily, evaluation of gas bearing formations is done by using porosity logresponses. In the literature it has been explained that two porosity logs (sonic, neutron ordensity) are required to evaluate gas formations, provided that the shale content, Vsh, canbe reasonably estimated from the gamma ray log. The density/neutron combinationusually is recommended for the evaluation. The sonic log is not recommended because,in addition to gas and shale effects, compaction and secondary porosity effects can bepresent.

The response from a neutron porosity log alone is used for evaluation in our case and thepresence of gas affecting the neutron response is explained in the following paragraphs.

Gas Effect

When gas is present in a zone, the effect is to show an erroneously low porosity. At firstglance, this is due to the reduced hydrogen content or hydrogen index of the gas. Whilethis is true, the observed porosities are too low, even when the lower hydrogen index istaken into account. The reason is that when gas is present, the neutron cloud issignificantly larger, causing more neutrons than expected to appear at the far detector.This results in a lower than expected ratio, and lower than expected porosity indication.

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Response in shales

Shales have hydrogen both as water in the pore space and as hydroxyl (OH) radicalsattached to the matrix (bound water). This excessive amount of hydrogen results in anerroneously high indication of porosity in shales. In short, shales are rocks with a lot ofhydrogen content not related to porosity.

Gas effect in Logging Observation Wells 49 and 50

Of the two wells, LOW 49 and 50, LOW 49 gives the best indication of gas movementthrought the formation. To illustrate this case more clearly, a base log (Jan 31 2001) wasselected, this log was run before the CO2 injection started (Feb 26th 2001) and the neutronporosity of the subsequent logging runs were compared with the base log. Fig. 2.33shows the comparison of the porosity between the base log and Dec 3rd 2001 logging run(the last log taken). There is decrease in porosity at nearly all depths and the shadedportion reveals the gas effect. This dispersion of CO2 into all the layers explains the causeof low oil production at the interior producers.

The response at LOW 50 is not consistent with LOW 49 and Fig. 2.34 shows the gasdispersion at LOW 50. The gas effect is not as prominent as in LOW 49. The pay zones1U and 5U do not seem to be invaded by gas at all.

To give more emphasis on the presence of gas in the formation, temperature logs wererun during the months of May 2001, October 2001 and November 2001. A preview of theinterpretation of these logs is shown below.

Temperature Logs

The idea of using a temperature log is to locate fluid flows in the casing or in the annularspace surrounding the casing. It is used during the injection or production to locate thepoints of inflow of the fluid.

In an injection well, the fluid injected is generally colder than the temperature offormations. If the injection rate is increased and retention time of fluid inside the casing islonger, it leads to a cooling effect inside the casing and this reduces the temperature asdepicted by the curves.

Temperature logs were run in ET O’Daniel 41, 42, 43 and 44 to track the regions intowhich the fluid (CO2) injected is moving into the formation.

Fig. 2.35 shows that CO2 is moving in all zones from 1U to 5U as seen by the coolingeffect. This further strengthens our observations from the LOW responses, which alsoshow movement of CO2 in all spraberry zones.

The temperature log taken at ET O’Daniel 42 (Fig. 2.36) reveals that CO2 is moving inboth 1U and 5U and this is prominent by the shape of the curve at these two regions.

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2.6 Review of gas sampling dataContinuing the tracking of CO2 using lateral movement of the gas is presented here. Thefocus of our observations is to understand the movement of gas in the on trend and offtrend wells. Samples from a set of 23 on trend, 7 off trend and interior producers wereanalyzed. These samples were taken at regular intervals at these wells with the basicobjective of observing the relative enrichment of HC fractions by Carbon dioxide (CO2).The gas sampling data is classified by the responses obtained at the on trend and off trendwells.

Most of the wells in Fig. 2.37 show a high fraction of methane and similar quantities ofethane/propane and about 8% of n-butane. These were values recorded just prior to thecommencement of the CO2 flooding and the trends to be observed is a compositionchange. The tracer study conducted has given us the general directions of fluid movementaround the pilot area and the tracer responses are best at on trend wells than off trendwells. Hence those wells lying on the on trend wells should exhibit greater compositionchanges than those wells situated off trend of the main fracture orientation.

It was anticipated that trends emerging from the gas sampling analysis would corroboratewith the tracer results, and the best responses would be from on trend wells lying in thenortheast-southwest direction.

A quick look at the CO2 fraction reaching on trend wells (Fig. 2.38) reveal that apart fromthe interior producers, only Brunson F1 and O’Daniel A1 were “seeing” CO2.

Both these wells lie on the northeast – southwest direction and inline with the mainfracture trend. In lieu of the above observation, the next question coming to our minds iswhether the CO2 reaching these wells were actually successful in producinghydrocarbons. A snapshot of the C1 mole fraction in the samples collected in the on trendwells is shown in Fig. 2.39. The data on the right hand side is due to relative enrichmentof C1 by CO2 because there is more CO2 coming out of these wells than the data fromother wells on the left hand side of the figure.

Figure 2.40 shows the performance of CO2 in extracting the other gas fractions. Theprofiles of C2, C3 and n-C4 with respect to CO2 show a flat profile over the entire period.This implies that there is no change in hydrocarbon composition and CO2 is notextracting these fractions.

But the heavy oil fraction, C6+ shows variation and an increasing trend is observedparticularly in the interior producers. There is more heavy oil coming out along with thecarbon dioxide.

In a nutshell, a good CO2 fraction is observed at two wells ET O’Daniel A1 and BrunsonF1 with a high C1 fraction extraction. CO2 has no impact on the other wells outside of thepilot area and on trend with the main fracture orientation. Furthermore, a progressivelyincreasing extraction of heavy oil is observed at the interior producers.

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As previously mentioned the tracer study revealed that wells perpendicular to the mainfracture trend did not show good response, a similar trend was observed by analyzing gassamples in these wells (Fig. 2.41). All the gas fractions from off trend wells show a CO2mole fraction of less than 1% and clearly CO2 has not swept these areas. The otherfractions (C1, C2, C3, C4, C5 andC6+) observed from samples collected at these wellsalso were very small.

From the above summary on the gas sampling analysis from the on trend and off trendwells it is evident that CO2 is reaching very few wells and the impact of it reaching thesewells is best illustrated by the response got from O’Daniel A1. Fig. 2.42 shows that theC1 fraction obtained at O’daniel A1 was greater than those at the interior wells. From thisscenario we can assume that CO2 from the injectors is moving outwards in asouthwesterly direction and along with it carrying all the light fractions outside the pilotarea. This argument is further strengthened by the response got at O’daniel A1 after theinjection pattern was changed in March 2002. From the review of production data earlier,an increasing trend in oil production was observed and moreover a high fraction of oilwas produced everytime a CO2 injection cycle started.

From Fig. 2.43, a higher fraction of intermediates (C3 and n-C4) and heavy fractions(C6+) are produced at the interior wells than at O’Daniel A1. This shows that most of thelight fractions are being purged out of the pilot area by the incoming CO2. As thepressure buildup is greater inside the pilot area, more oil would eventually be produced atET O’Daniel A1 and a greater amount of intermediates and heavy fractions wouldeventually be seen at O’Daniel A1.

A culmination of reviews from logging data, gas sampling data, tracer data andproduction data from this pilot reveal a strong picture of the direction of fluid movementand a substantial oil production is observed only if the wells are situated on the mainfracture trend.

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2.7 ConclusionsA diagnosis of the vertical and lateral distribution of CO2 in the Spraberry interval wasshown in this study. A summary of the conclusions from this study is presented below:

1. Incremental recoveries in Brunson F-1, ET O’Daniel A-1, O’Brien B-1, BrunsonC-2 and Brunson G-1 indicate that CO2 has been successful in mobilizing oil.

2. Production at O’Brien B-1 is not due to lease electrification alone.3. Tracer injection study confirms there are continuous fracture path from injection

wells to O’Daniel A1 and Brunson F1 wells.4. The use of mapping techniques using OFM has improved our interpretation and

visualization of waterflooding and CO2 flooding performance.5. Gamma Ray/Induction/Neutron porosity response from LOW #49 show that that

there is a decrease in compensated neutron density (NPHI) and increase inresistivity logs at different depths hinting the presence of a hydrocarbon gas orCO2.

6. WAG method has not been very effective in sweeping the oil in the Spraberryreservoir as evident by the responses.

7. Since the cumulative amount of CO2 produced is still small compared to theamount injected, a delayed recovery of hydrocarbons is expected.

8. The observations from LOW#50 do not mirror the observations obtained fromLOW #49.

9. Even though CO2 is entering all layers as indicated by the changes in resistivityand density logs, those changes are not magnified. More CO2 volume needs to beinjected and more logging runs need to be carried out.

10. The temperature logs also show that there is movement of CO2 in all layers.11. A study of gas samples from on-trend and off-trend wells suggest that:

There is no indication of CO2 presence at the off- trend wells Only two on- trend wells Brunson F1 and O’daniel A1 have ‘seen’ CO2 Heavy oil fractions are being produced at the interior wells Light oil and middle oil fractions are dominant in Brunson F1 and

O’daniel A1. A greater amount of C1 is recorded at O’Daniel A1 than the interior

producers. This implies that all the light fractions are being driven outsidethe pilot area and every time a WAG cycle has started, more oil isproduced at O’Daniel A1.

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2.8 References1) Guidroz, G.M.: “E.T. O’Daniel Project – A Successful Spraberry Flood,” paper SPE

1791 presented at the 1967 Sixth Permian Basin Oil Recovery Conference, Midland,

8-9 May.

2) Schechter, D.S., McDonald, P., Sheffield, T. and Baker, R.: “Reservoir

Characterization and CO2 Pilot Design in the Naturally Fractured Spraberry Trend

Area,” SPE paper 35469, presented at the SPE Permian Basin Oil and Gas Recovery

Conference, Midland, Texas, March 27 – 29, 1999.

3) Schechter, D.S., “Advanced Reservoir Characterization and Evaluation of CO2

Gravity Drainage in the Naturally Fractured Spraberry Trend Area,” First Annual

Technical Progress Report to DOE under Contract No. DE-FC22-95BC14942, Dec.

17, 1996, (b).

4) Schechter, D.S., “Advanced Reservoir Characterization and Evaluation of CO2

Gravity Drainage in the Naturally Fractured Spraberry Trend Area,” Second Annual

Technical Progress Report to DOE under Contract No. DE-FC22-95BC14942, Oct.

1997.

5) Schechter, D.S.: “Advanced Reservoir Characterization and Evaluation of CO2

Gravity Drainage in the Naturally Fractured Spraberry Trend Area,” Third Annual

Technical Progress Report, Contract No. DE-FC22-95BC14942, U.S. DOE, (Dec

1998).

6) Schechter, D.S: “Advanced Reservoir Characterization and Evaluation of CO2

Gravity Drainage in the Naturally Fractured Spraberry Trend Area,” Fourth Annual

Technical Progress Report to DOE under contract No.: DE-FC22-95BC14942, U.S.

DOE (October 1999).

7) Schechter, D.S: “Advanced Reservoir Characterization and Evaluation of CO2

Gravity Drainage in the Naturally Fractured Spraberry Trend Area,” Final Annual

Technical Progress Report to DOE under contract No.: DE-FC22-95BC14942, U.S.

DOE (June 2002).

8) Banik, A.K., and Schechter, D.S.: “Characterization of the Naturally Fractured

Spraberry Trend Shaly Sands Based on Core and Log Data,” paper SPE 35224

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presented at the SPE Permian Basin Oil & Gas Recovery Conference, Midland,

Texas, 27-29 March 1996.

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Glasscock Co

Reagan CoUpton Co

Midland Co

Martin Co Howard Co

Germania

ODaniel

Shackelford

Preston

Midkiff Driver

ExxonPembrook

ExxonSherrod

N PembrookMerchant

Aldwell

Benedum

Glasscock Co

Reagan CoUpton Co

Midland Co

Martin Co Howard Co

Germania

ODaniel

Shackelford

Preston

Midkiff Driver

ExxonPembrook

ExxonSherrod

N PembrookMerchant

Aldwell

Benedum

Fig. 2.1 Spraberry Trend Area

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Pilot AreaPilot Area

Fig. 2.2 – E.T. O’Daniel Pilot Area

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Fig. 2.3- Grid map showing cumulative oil production during 1951-1959

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Fig. 2.4- Cumulative water cut grid map (1959-1999)

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On-trend wellsshow productionOn-trend wellsshow production

Fig. 2.5- Cumulative oil production (1959-1999)

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Fig. 2.6- Cumulative gas production (1959-1999)

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Time(yrs)

Oil

Rat

e(bb

l/day

)

Time(yrs)

Oil

Rat

e(bb

l/day

)

Fig. 2.7 – Historical Oil Production

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Fig. 2.8 - Oil response seen at on-trend wells (1999-2002)

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Water out at Brunson A1Water out at Brunson A1

Fig. 2.9 – Water swept area (1999-2002)

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O'Daniel O'Daniel O'Brian

O'DanielO'Daniel Brunson Boone

O'BrianPowellFloyd

35

33

B-1

D-1

C-1

5

7

12

9 13

10

63

9

8 12

7

A-1

B-11

A-5

BooneE-1 A-6

A-3 A-7

32

12

8W

34

6

1

24

31

36

26

D-1

19

13

G-1

C-2E-1

BooneA-1

D-1 A-1

F-1

C-1

C-11

D-1

3 2

47

25

29

37

46

C-1

28

45

38

39

40

48

14

41

43

4950

44

42

N

2 4

5

28

1

13

1, 3, 8

4, 19,

24, 6, 5, 27

O'Daniel O'Daniel O'Brian

O'DanielO'Daniel Brunson Boone

O'BrianPowellFloyd

35

33

B-1

D-1

C-1

5

7

12

9 13

10

63

9

8 12

7

A-1

B-11

A-5

BooneE-1 A-6

A-3 A-7

32

12

8W

34

6

1

24

31

36

26

D-1

19

13

G-1

C-2E-1

BooneA-1

D-1 A-1

F-1

C-1

C-11

D-1

3 2

47

25

29

37

46

C-1

28

45

38

39

40

48

14

41

43

4950

44

42

N

2 4

5

28

1

13

1, 3, 8

4, 19,

24, 6, 5, 27

Fig. 2.10- Quickest tracer response (times of response shown in box)

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Fig. 2.11- Tracer response after 5 days

Fig. 2.12- Tracer response after 15 days

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Fig. 2.13- Tracer response after 29 days

0

50

100

150

200

250

300

350

28-Aug-99 15-Mar-00 1-Oct-00 19-Apr-01 5-Nov-01 24-May-02 10-Dec-02

Time (Date)

Gas

Rat

e (M

SCF/

D)

Gas Rate (Mcf) CO2 Started CO2 Rate at A#1 CO2 Rate at # 38,39, 40 and A#1

CO2 Injection Started(2/26/2001)

Fig. 2.14 – The percentage of CO2 produced at the interior wells and ET O’Daniel A1

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0

500

1000

1500

2000

2500

02/09/99 08/28/99 03/15/00 10/01/00 04/19/01 11/05/01 05/24/02 12/10/02

Time (Date)

Wat

er a

nd C

O2

Inje

ctio

n Ra

te (S

TBW

/D a

nd

MSC

F/D)

0

200000

400000

600000

800000

1000000

1200000

1400000

1600000

1800000

Cum

. Wat

er a

nd C

O2

Inje

ctio

n (B

BLS

and

MSC

FS)

Water Injection Rate CO2 Injection Rate Cum. Water Injection Cum. CO2 Injection

Fig. 2.15 – Total water and CO2 injection is maintained in the pilot

0

10000

20000

30000

40000

50000

60000

70000

80000

90000

9-Jan-01 19-Apr-01 28-Jul-01 5-Nov-01 13-Feb-02 24-May-02 1-Sep-02 10-Dec-02

Time (Days)

Cum

ulat

ive

of C

O2

Prod

uctio

n (M

SCF)

0

20000

40000

60000

80000

100000

120000

140000

Cum

ulat

ive

of C

O2

Inje

ctio

n (M

SCF)

#38, 39, 40 and A#1 A#1 CO2 Injection

Fig. 2.16 – Comparison of CO2 injected and produced in the interior producers and ETO’Daniel A1

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0

100000

200000

300000

400000

500000

600000

700000

800000

900000

1000000

10/1/2000 1/9/2001 4/19/2001 7/28/2001 11/5/2001 2/13/2002 5/24/2002 9/1/2002 12/10/2002

Time (Days)

Cum

ulat

ive

of W

ater

Inj/P

rod

(BB

LS)

Cumulative of Water Injection Cumulative of Water Production

Fig. 2.17 – Cumulative water injection and production profile from ET O’Daniel A1 andinterior producers.

0

10000

20000

30000

40000

50000

60000

2/9/99 8/28/99 3/15/00 10/1/00 4/19/01 11/5/01 5/24/02 12/10/02Time (Date)

Cum

ulat

ive

Oil

Prod

uctio

n (B

BLS

)

Waterflood Started(October 1999)

CO2 Injection Started(2/26/2001)

Shut-in well # 38 and 39,CO2 injector #42 and 44,

Water injector# 48(3/16/2002)

Brunson F1

Brunson C2

Brunson G1

OBrien B1

Fig. 2.18 – Cumulative production profile from on trend wells

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-

20

40

60

80

100

120

140

160

12/21/98 7/9/99 1/25/00 8/12/00 2/28/01 9/16/01 4/4/02 10/21/02Time (Date)

Oil

Prod

uctio

n R

ate

(BO

PD)

Brunson F1 OBrien B1

Fig. 2.19 – Similar production trend in Brunson F1 and O’BrienB1

0

20

40

60

80

100

120

140

160

12/21/98 7/9/99 1/25/00 8/12/00 2/28/01 9/16/01 4/4/02 10/21/02Time (Date)

Oil

Prod

uctio

n R

ate

(BO

PD)

Waterflood Started(October 1999)

CO2 Injection Started(2/26/2001)

Lease Electrified 1/24/01

Fig. 2.20 – Production profile in O’Brien B1

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Fig. 2.21 – Cumulative CO2 Injected

0

50

100

150

200

250

300

11/1/98 2/9/99 5/20/99 8/28/99 12/6/99 3/15/00 6/23/00 10/1/00Time (Date)

Oil

Prod

uctio

n R

ate

(BB

LS/D

)

0

100000

200000

300000

400000

500000

600000

700000

800000

900000

1000000

Cum

ulat

ive

Inje

ctio

n R

ate

(BB

LS/D

)

Brunson C-2 Brunson G-1 Brunson F-1 BOPD (7 on-trend wells) Cum Water Injection

Brunson F-1(170,244 bbls)

Brunson C-2(429,807 bbls)

Brunson G-1(757,551 bbls)

Note: Volume CO2 injected up to 2/10/02: 46,966 bbls

0

50

100

150

200

250

300

11/1/98 2/9/99 5/20/99 8/28/99 12/6/99 3/15/00 6/23/00 10/1/00Time (Date)

Oil

Prod

uctio

n R

ate

(BB

LS/D

)

0

100000

200000

300000

400000

500000

600000

700000

800000

900000

1000000

Cum

ulat

ive

Inje

ctio

n R

ate

(BB

LS/D

)

Brunson C-2 Brunson G-1 Brunson F-1 BOPD (7 on-trend wells) Cum Water Injection

Brunson F-1(170,244 bbls)

Brunson C-2(429,807 bbls)

Brunson G-1(757,551 bbls)

Note: Volume CO2 injected up to 2/10/02: 46,966 bbls

Fig. 2.22 – Production response at wells due to water injection alone

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Fig. 2.23 – Cumulative produced CO2 fraction

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0

10

20

30

40

50

60

70

1/9/2001 4/19/2001 7/28/2001 11/5/2001 2/13/2002 5/24/2002 9/1/2002 12/10/2002

Time (Date)

Oil

Rat

e (B

OPD

)

CO2 Injection Started(2/26/2001)

7/20

/200

8/21

/200

1

10/2

/200

1

11/6

/200

1

12/8

/200

1

1/3/

2001

2/6/

2001

5/22

/200

1

3/16/2002Shut-in well # 38 and 39,CO2 injector #42 and 44,

Water injector# 48

Fig. 2.24- Comparison of oil production between interior producers and ET O’Daniel A1

0

10

20

30

40

50

60

1/9/2001 4/19/2001 7/28/2001 11/5/2001 2/13/2002 5/24/2002 9/1/2002 12/10/2002

Time (Date)

Oil

Rat

e (B

OPD

)

0

20

40

60

80

100

120

140

160

180

200

Gas

Rat

e (M

SCFD

)

CO2 Injection Started(2/26/2001)

7/20

/200

1

8/21

/200

1

10/2

/200

1

11/6

/200

1

12/8

/200

1

1/3/

2002

2/6/

2002

5/22

/200

2

Fig. 2.25 – Comparison of oil rate and gas rate at ET O’Daniel A1

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0

50

100

150

200

250

300

1/9/2001 4/19/2001 7/28/2001 11/5/2001 2/13/2002 5/24/2002 9/1/2002 12/10/2002

Time (Date)

Wat

er R

ate

(BW

PD)

A#1 #38, 39 and 40

Fig. 2.26 – Water production at the interior producers and O’Daniel A1

0

5

10

15

20

25

30

35

9/19/1991 1/31/1993 6/15/1994 10/28/1995 3/11/1997 7/24/1998 12/6/1999 4/19/2001 9/1/2002 1/14/2004

Time (Date)

Oil

Rat

e (B

OPD

)

Fig. 2.27 – Oil production profile in O’Daniel A1

CO2 injectionstarted on Feb 262001

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0

5

10

15

20

25

30

35

9/19/1991 1/31/1993 6/15/1994 10/28/1995 3/11/1997 7/24/1998 12/6/1999 4/19/2001 9/1/2002 1/14/2004

Time (Date)

Oil

Rat

e (B

OPD

)CO2 startedH2O started

Fig. 2.28 – Decline curve scenarios when highest oil rate prior to waterflooding is used

0

1000

2000

3000

4000

5000

6000

1/9/2001 4/19/2001 7/28/2001 11/5/2001 2/13/2002 5/24/2002 9/1/2002 12/10/2002

Time (Date)

Cum

ulat

ive

Oil

Prod

uctio

n (B

BLS

)

BaseLine Decline 50% Decline Rate20% Decline Rate 150% Decline Rate200% Decline Rate

Fig. 2.29 – Cumulative oil production for decline in production before waterflooding

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0

5

10

15

20

25

30

35

9/19/1991 1/31/1993 6/15/1994 10/28/1995 3/11/1997 7/24/1998 12/6/1999 4/19/2001 9/1/2002 1/14/2004

Time (Date)

Oil

Rat

e (B

OPD

)CO2 startedH2O started

Fig. 2.30 – Decline curve analysis after waterflooding was started

0

1000

2000

3000

4000

5000

6000

1/9/2001 4/19/2001 7/28/2001 11/5/2001 2/13/2002 5/24/2002 9/1/2002 12/10/2002

Time (Date)

Cum

ulat

ive

Oil

Prod

uctio

n (B

BLS

)

BaseLine Decline 50% Decline Rate20% Decline Rate 150% Decline Rate200% Decline Rate

Fig. 2.31 – Cumulative production estimates for different rates after waterflooding

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Fig. 2.32 – Upper Spraberry Interval (1U-5U)

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1U

2U

3U

4U

5U

1U

2U

3U

4U

5U

Fig. 2.33 – Comparison of neutron response at LOW 49(Jan/Dec 2001)

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1U

2U

3U

4U

5U

1U

2U

3U

4U

5U

Fig. 2.34 – Comparison of neutron response at LOW 50(Feb/Dec 2001)

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Well #41Well #41

Fig. 2.35 – Temperature Log taken in ET O’Daniel 41

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Well #42Well #42

Fig. 2.36 – Temperature Log taken in ET O’Daniel 42

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Initial Gas Compositions (Feb. 2001)

0.1

1

10

100

BOO

NE

A-1

BOO

NE

C-1

BOO

NE

D-1

BOO

NE

E-1

BRU

NSO

N C

-1

BRU

NSO

N C

-2

BRU

NSO

N D

-2

BRU

NSO

N E

-2

BRU

NSO

N F

-1

BRU

NSO

N G

-1

E T

OD

ANIE

L #1

3

E T

OD

ANIE

L #1

9

E T

OD

ANIE

L #2

6

E T

OD

ANIE

L #2

8

E T

OD

ANIE

L #3

6

E T

OD

ANIE

L #3

8

E T

OD

ANIE

L #3

9

E T

OD

ANIE

L #4

0

E T

OD

ANIE

L A-

1

E T

OD

ANIE

L C

-1

E T

OD

ANIE

L D

-1

E T

OD

ANIE

L C

-D

FLO

YD B

-1

FLO

YD C

-1

FLO

YD D

-1

O'B

RIE

N A

-F

O'B

RIE

N A

-5

Mol

e Pe

rcen

tMethane

Ethane

Propane

i-Butane

n-Butane

i-Pentane

n-Pentane

C6+47/35/17

Nitrogen

Carbon Dioxide

H2S

Fig. 2.37 – Initial gas compositions recorded in Feb 2001

0

1

10

100

01/09/2001 02/28/2001 04/19/2001 06/08/2001 07/28/2001 09/16/2001 11/05/2001 12/25/2001 02/13/2002 04/04/2002 05/24/2002 07/13/2002

SAMPLING DATE

%CO

2 FR

ACT

ION

Boone C1 Boone D1 Brunson D1 Brunson A1 Brunson F1Brunson G1 Brunson C2 Brunson C1,C2 OD A1 OD38OD 39 OD 40 Floyd B1 Floyd C1 Floyd D1

Fig. 2.38 – Carbon dioxide fractions in on-trend wells

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10

100

0.100 1.000 10.000 100.000

CO2 % IN PROD GAS

C1

MO

L %

BOONE C1 BOONE D1BRUNSON D1 BRUNSON A1BRUNSON F1 BRUNSON G1BRUNSON C2 BRUNSON C1, C2OD A1 OD 38OD 39 OD 40FLOYD B1 FLOYD C1FLOYD D1

Fig. 2.39 – Methane fractions in on-trend wells

C2 RELATIVE ENRICHMENT

0.1

1

10

100

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

C2

MO

L %

BOONE C1

BOONE D1

BRUNSON D1

BRUNSON A1

BRUNSON F1

BRUNSON G1

BRUNSON C2

BRUNSON C1, C2

OD A1

OD 38

OD 39

OD 40

FLOYD B1

FLOYD C1

FLOYD D1

C3 RELATIVE ENRICHMENT

0.1

1.0

10.0

100.0

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

C3

MO

L %

BOONE C1

BOONE D1

BRUNSON D1

BRUNSON A1

BRUNSON F1

BRUNSON G1

BRUNSON C2

BRUNSON C1, C2

OD A1

OD 38

OD 39

OD 40

FLOYD B1

FLOYD C1

FLOYD D1

N-C4 RELATIVE ENRICHMENT

0.1

1

10

100

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

NC

4 M

OL

%

BOONE C1

BOONE D1

BRUNSON D1

BRUNSON A1

BRUNSON F1

BRUNSON G1

BRUNSON C2

BRUNSON C1, C2

OD A1

OD 38

OD 39

OD 40

FLOYD B1

FLOYD C1

FLOYD D1

C6+ RELATIVE ENRICHMENT

0.1

1.0

10.0

100.0

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

C6+

MO

L %

C2 RELATIVE ENRICHMENT

0.1

1

10

100

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

C2

MO

L %

BOONE C1

BOONE D1

BRUNSON D1

BRUNSON A1

BRUNSON F1

BRUNSON G1

BRUNSON C2

BRUNSON C1, C2

OD A1

OD 38

OD 39

OD 40

FLOYD B1

FLOYD C1

FLOYD D1

C3 RELATIVE ENRICHMENT

0.1

1.0

10.0

100.0

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

C3

MO

L %

BOONE C1

BOONE D1

BRUNSON D1

BRUNSON A1

BRUNSON F1

BRUNSON G1

BRUNSON C2

BRUNSON C1, C2

OD A1

OD 38

OD 39

OD 40

FLOYD B1

FLOYD C1

FLOYD D1

N-C4 RELATIVE ENRICHMENT

0.1

1

10

100

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

NC

4 M

OL

%

BOONE C1

BOONE D1

BRUNSON D1

BRUNSON A1

BRUNSON F1

BRUNSON G1

BRUNSON C2

BRUNSON C1, C2

OD A1

OD 38

OD 39

OD 40

FLOYD B1

FLOYD C1

FLOYD D1

C6+ RELATIVE ENRICHMENT

0.1

1.0

10.0

100.0

0.1 1.0 10.0 100.0

CO2 % IN PROD GAS

C6+

MO

L %

Fig. 2.40 – C2, C3, n-C4 and C6+ fractions in on-trend wells

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0.1

1

10

100

01/09/2001 02/28/2001 04/19/2001 06/08/2001 07/28/2001 09/16/2001 11/05/2001 12/25/2001 02/13/2002 04/04/2002 05/24/2002 07/13/2002

SAMPLING DATE

CO

2 FR

ACTI

ON

Boone A1Brunson E1O'Daniel 13O'Daniel 19O'Daniel 26O'Daniel 28O'Daniel 36O'Daniel C1O'Daniel D1

Fig. 2.41 – CO2 fractions in off-trend wells

10

100

0 10 20 30 40 50 60 70 80 90 100

% CO2 IN PROD GAS

C1

MO

L FR

AC

TIO

OD 38 OD 39 OD 40 OD A1

Fig. 2.42 – C1 mole fraction in ET O’Daniel A1 compared to interior producers

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C 2 R E L AT IV E E N R IC H M E N T

0.1

1.0

10.0

100.0

0 20 40 60 80 100

% C O2 IN PROD GA S

C2

MO

L FR

AC

TI

O D A 1 O D 38 O D 39 O D 40

N -C 4 R E L AT IV E E N R IC H M E N T

0.1

1.0

10.0

100.0

0 20 40 60 80 100

% C O2 IN PROD GA S

C4

MO

L FR

AC

TI

O D A 1 O D 38 O D 39 O D 40

C 6+ R E L AT IV E E N R IC H M E N T

0.1

1.0

10.0

100.0

0 20 40 60 80 100

% C O2 IN PROD GA S

C6+

MO

L F

RA

CT

O D A 1 O D 38 O D 39 O D 40

C 3 R E L AT IV E E N R IC H M E N T

0 .1

1 .0

10 .0

1 00 .0

0 20 40 60 80 10 0

% C O2 IN PROD GA S

C3

MO

L FR

AC

TI

O D A 1 O D 38 O D 39 O D 40

C 2 R E L AT IV E E N R IC H M E N T

0.1

1.0

10.0

100.0

0 20 40 60 80 100

% C O2 IN PROD GA S

C2

MO

L FR

AC

TI

O D A 1 O D 38 O D 39 O D 40

N -C 4 R E L AT IV E E N R IC H M E N T

0.1

1.0

10.0

100.0

0 20 40 60 80 100

% C O2 IN PROD GA S

C4

MO

L FR

AC

TI

O D A 1 O D 38 O D 39 O D 40

C 6+ R E L AT IV E E N R IC H M E N T

0.1

1.0

10.0

100.0

0 20 40 60 80 100

% C O2 IN PROD GA S

C6+

MO

L F

RA

CT

O D A 1 O D 38 O D 39 O D 40

C 3 R E L AT IV E E N R IC H M E N T

0 .1

1 .0

10 .0

1 00 .0

0 20 40 60 80 10 0

% C O2 IN PROD GA S

C3

MO

L FR

AC

TI

O D A 1 O D 38 O D 39 O D 40

Fig. 2.43 – Relative enrichment of hydrocarbon fractions at O’Daniel A1 and interiorproducers