Best Practice ManualSleipner CO2 Storage Project

Salt Lake City, 17-18 February 2010

Bert van der Meer, Senior Reservoir Engineer

Outline

• Introduction• Sleipner CO storage• Sleipner CO2 storage• Misperception 1 - Rumors• Sleipner modelling• Misperception 2 Overestimations• Misperception 2 - Overestimations• Questions

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Introduction

• Best Practice Manuel, SACS – Sam Holloway • Best Practice for Aquifers, SACS, CO2STORE – Andy Chadwick

• Sleipner first CO2 sequestration project• Environmental purposes• Knowledge sharing and building on experiences• Knowledge sharing and building on experiences• Aim of manual:

• describe what is done• why it is donewhy it is done• what is learnt• what went well• gaps in knowledge and/or datag p g

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Introduction

• Earth’s subsurface is an extremely variable natural system

• Some issues and highlighted could be site specific

• Not a set of standard procedures• Not a set of standard procedures

• 44 Profesionals involved

• 9 organizations

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Sleipner CO2 Storage

• Sleipner fields 250 km from the west coast of Norway• Statoil is operator• Statoil is operator• Licence partners are: ExxonMobil, TotalFinaElf, Statoil• 202 GSm3 rich gas• CO content varies 4 to 9 5 %• CO2 content varies 4 to 9.5 %• Reduction below 2.5 % (pipe line quality), ~ 1Mt/y CO2

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Sleipner CO2 Storage• Storage in Utsira formation• Very large – 26.000 km2

• Aquifer top 800 mSS ~ 250 thick• Aquifer - top 800 mSS ~ 250 thick• One 7” injector near horizontal• Injection from end 1996 until today some 12Mt of CO2

Sleipner A

Sleipner T0

Sleipner A

Sleipner T0

Utsir aFor mation

CO 2

CO 2 Injection Well1000m

500m

Utsir aFor mation

CO 2

CO 2 Injection Well1000m

500m

Sleipner ØstProduction and Injection Wells

2000m

1500m

0

Sleipner ØstProduction and Injection Wells

2000m

1500m

0

Salt Lake City, February 18, 2010Best practice Manual - Sleipner6Heimdal Formation

2500m

1000m

0 500m

1500m

Heimdal Formation2500m

1000m

0 500m

1500m

Utsira Formation

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Misperception 1- Rumors

• The Sleipner project shows that much less CO2 is stored radially than what seismic reflection data show (Bickle et al 2007) Theythan what seismic reflection data show (Bickle et al., 2007). They have seen significant leakage to overlying layers.

Michel J. Economides, Journal of Petroleum Science andEngineering 70 (20110) 123-130Engineering 70 (20110) 123 130.

C d ?Can we spread rumors?

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Sleipner modelling• High permeable sand body (~250 m thick) with intersand shale layers (1 m thick, only from

log’s)• On top 10 m thick shale (good marker)• Sand wedge

Nordland Group (very thick)• Nordland Group (very thick) • Utsira formation only logs

Nordland shale

Sand wedge

n

Utsira SandCO2

sira

form

atio

n

Injection point

Uts

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j

Sleipner Modelling Procedure

1 Location and processes (Process)size fluids interaction PVT reservoir conditionssize, fluids, interaction, PVT, reservoir conditions

2 Type Simulator (Tool)type, assumptions, approximations, limitations

3 Data3 Datadescription, measured, accuracy, reliability

4 Question

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Sleipner Modelling

• Process• Gas/water infinite aquifer high permeable CO2 sensitiveGas/water, infinite aquifer, high permeable, CO2 sensitive

to P, T., CO2 solubility• Simulator

• Multiphase flow simulatorsp• Black\oil approach• Compositional

• Data• Utsira basin scale, limited water, temp., no reservoir

pressures, wellhead daily P, T, Q, 4D seismics => 1999 CO2 at top

Q ti• Question• CO2 bubble development?

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Sleipner Modelling

• SINTEF• Intersand layers randomly holes black oil approach• Intersand layers, randomly holes, black oil approach

oil=water, CO2 = gas, solubility=Rs (ECLIPSE)• TNO

• Continues intersand shale layers = transmissibility• Continues intersand shale layers = transmissibility, Gas\water, CO2 PREOS, T gradient (SIMED)

Many others• Many others

C l i• Conclusion:• Simulators are suitable? (adequate, solubility not validated)

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Sleipner Modelling SINTEF

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Sleipner Modelling TNO

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Sleipner Modelling Parameter to Match

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Misperception 2, Overestimation

• Is this realistic? – (20 to 60 Gt)

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Question to modellers

• Do we have the responsibility to come up with realistic estimationsestimations.

• What (type) data do we need?

• Are available simulators capable of predicting performance? (short and long term, not validated solubility)

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Thanks for your attention

• Please QUESTIONS

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