an overview of the williams fork formation reservoir characterization at mamm creek field, piceance...
TRANSCRIPT
![Page 1: An Overview of the Williams Fork Formation Reservoir Characterization at Mamm Creek Field, Piceance Basin, Colorado Matthew J. Pranter, Alicia Hewlett,](https://reader035.vdocuments.us/reader035/viewer/2022062713/56649cb85503460f9497e0e2/html5/thumbnails/1.jpg)
An Overview of theWilliams Fork Formation
Reservoir Characterization at Mamm Creek Field,
Piceance Basin, Colorado
Matthew J. Pranter, Alicia Hewlett, Sait Baytok, Rachel Shaak
University of Colorado at Boulder
![Page 2: An Overview of the Williams Fork Formation Reservoir Characterization at Mamm Creek Field, Piceance Basin, Colorado Matthew J. Pranter, Alicia Hewlett,](https://reader035.vdocuments.us/reader035/viewer/2022062713/56649cb85503460f9497e0e2/html5/thumbnails/2.jpg)
Outline
I. Research Objectives
II. Study Area
III. 3-D Reservoir Characterization and Modeling of Matrix Properties
IV. Seismic Interpretation, Fracture Analysis, and Fracture Modeling
V. Conclusions
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Research Objectives
• Within the southeastern Piceance Basin and Mamm Creek Field, how does the lower Williams Fork Formation vary in terms of stratigraphic architecture, shoreline stacking patterns, and lithology?
• For the Williams Fork Formation at Mamm Creek Field, what is the stratigraphic variability of sandstone-body type and distribution, matrix reservoir quality, and static connectivity?
• For the Williams Fork Formation at Mamm Creek Field, what are the main fault types and their distribution and how does fracture distribution vary with faulting, lithology, architectural elements and other parameters?
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N
Discrete fracturenetwork modeling
Fracture intensity and seismic attributes
3-D seismic analysis of fault and fracture distribution
3-D reservoir modeling of tight-gas sandstones
Regional distribution of coastal plain and marine deposits
Study Area and Focus
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• data from 1,400 wells• 3-D seismic survey• 8 cores • 12 borehole image logs• outcrop sandstone-body statistics• measured section
Image Logs
Cores
SeismicSurvey
ReservoirModelArea
MeasuredSection
Study Area and Focus
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Reservoir Characterization and Modeling
2 mi2
91 wells irregular 10-acre density
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Coastal /Alluvial Plain
Shoreface/DeltaicMarsh, Mire, Swamp, and Estuarine
Marine Shelf/Ramp
Modified from Carroll and others (2004); Cole and Pranter (2008)
Stratigraphic Intervalfor Reservoir Modeling
StratigraphicInterval
forReservoirModeling(~2200 ft)
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Model Framework
• 91 wells• 15 zones• 40’ x 40’ x 1’• 89.4 million cells
V.E. = 4X
CameoMiddle Ss.
Upper Ss.
Middle WilliamsFork Formation
Upper Williams Fork Formation
Paonia Sh. Mbr.
Lower Williams Fork Formation
Rollins
V.E. = 1X
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Model Inputs and ConstraintsCalculated Lithology logs Interpreted Architectural Element Logs
Variography Outcrop dimensional statistics and object shapes
MD
1:143
0.00 190.00GR_NRM 0.30 -0.05DPHI_NRM
0.30 -0.05NPHI_NRM
Floodplain
Floodplain
Point bar
Point bar
Floodplain
Crevasse splay Floodplain
Point bar
Point bar
Floodplain
Ar chit ect ur al_Elem ent _Log
05045168680000 [MD]
point bar
crevasse splay
MD
1:143
0.00 190.00GR_NRM 0.30 -0.05DPHI_NRM
0.30 -0.05NPHI_NRM
Mudrock
Mudrock
Sandstone
Mudrock
Sandstone
Mudrock
Sandstone
Mudrock
Lithology_log
Mudrock
Mudrock
Shaley sand
Clean sand
Clean sand
Mudrock
Shaley sand
Mudrock
Shaley sand
Clean sand
Mudrock
Lit hology_log_updat ed
05045168680000 [MD]
0.00 190.00GR_NRM 0.30 -0.05DPHI_NRM
0.30 -0.05NPHI_NRM
Sandstone
Lithology_log Lit hology_log_updat ed
05045168680000 [MD]
sandstone/clean sandstone
shaleysandstone
Azimuth: 39˚
Variogram Map
Experimental Variogram
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Architectural Element Object Shapes
Channel Bar / Point Bar Crevasse Splay
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Refined Lithology
0 0.2 0.4 0.6 0.8 1
Upper Williams Fork
Middle Williams Fork
Lower Williams Fork (Paonia)
Upper sandstone
Middle sandstoneCameo-Wheeler
Top Rollins
Basic Lithology
0 0.2 0.4 0.6 0.8 1
Architectural elements
0 0.2 0.4 0.6 0.8 1
Vertical Constraint:Vertical Proportion Curves
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3-D Spatial Constraint: Seismic Probability Volume
Provided by iReservoir.com
Middle Williams Fork
Middle Sandstone
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3-D Lithology Modeling and3-D Architectural-Element Modeling
Sequential-indicator simulation (SIS) of basic lithology• Sandstone, mudstone, coal modeled• With 3-D seismic-based spatial probability constraint
Sequential-indicator simulation (SIS) of refined lithology• Clean sandstone, shaley sandstone, mudstone, and coal
modeled
Object-based simulation constrained to lithology • Constrained to outcrop dimensional statistics for fluvial
architectural elements (Pranter et al., 2009)
Object-based simulation constrained to architectural elements• Constrained to outcrop dimensional statistics for fluvial
architectural elements (Pranter et al., 2009)
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Basic Lithologyw/ 3-D seismic constraintBasic Lithology
Refined LithologyBasic Lithology Architectural Elements
Refined Lithology
Modeling Examples
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Future Modeling work
• Petrophysical modeling– Porosity– Permeability (conventional core data)
• Channel cluster analysis
• Static sandstone-body connectivity
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3-D Seismic Interpretation
verticalslices
throughseismic data(amplitude)
Depth slice through
ant tracking volumewithout
interpretation
Depth slice through
ant tracking volumewith
interpreted faults
Noise on survey edge
Uninterpreted Interpreted
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3-D Seismic Interpretation
NN Deep Faults
Uninterpreted Interpreted
Middle Sandstone
• Fault interpretation based on seismic amplitude, ant-tracking results, and curvature attributes
• Two near-vertical fault sets (shallow faults strike N60W; deep faults strike N45E)
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3-D Seismic Interpretation
• Fault interpretation based on seismic amplitude, ant-tracking results, and curvature attributes
• Two near-vertical fault sets (shallow faults strike N60W; deep faults strike N45E)
N NShallow Faults
Uninterpreted Interpreted
Top Mesaverde Group
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Fracture / Seismic Attribute Analysis
Relationship between ant tracked seismic attribute and fracture intensity in fractured zones
Fra
ctu
red
Zo
ne
Upscaled Fracture Intensity
An
t-tr
acki
ng
Att
rib
ute Correlation coefficient: 0.73
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Fracture Analysis and DFN Modeling
Fracture Intensityand Lithology
+
Fracture Dip Angle and Dip Azimuth
DFN (discrete fracture network) model
Scale up fracture properties
Ki
Kj
Kk