Marginal Field Development Advances in 3D Geological Modeling: How it can help?
Dec 24, 2015
Marginal Field Development
Advances in 3D Geological Modeling: How it can help?
Economic Drivers
How much oil or gas is there? How much is recoverable? How fast it can be recovered? How much capital expenditure required? What will be return on investment?
Economics is constrained & guided by technical complexities & challenges…..how well we understand the field
Thrust Areas: New Technology
Data Acquisition & Processing Seismic Interpretation Formation Evaluation, Well Stimulation & Well Control Reservoir Modeling & Simulation Drilling & Related Services Facilities & logistics Information Technology
Marginal fields have constraints on heavy data acquisition program
- Field understanding is based on limited data - Dealing with Risk when limited data pose high uncertainty
The real challenge with marginal field is probably not in selecting the best technology but in the way these technologies will be managed.
Technological Drivers
New algorithms New Workflows Powerful computing capabilities Improved integration of various type of data Improvement in existing algorithms Improved workflows Efforts are directed towards development of technologies that are faster, automated, scalable, reproducible and provide realistic representations
Technological Innovations
3D Geological Modeling Seismic Technology Formation Evaluation Strategy Drilling Technology Extended Well Tests (EWT) Early Production Systems (EPS) Intelligent Completions
Aim of technological innovation is to reduce economic & project risk
3D Geological Modeling
Challenges Reservoir pose challenge –structure & stratigraphy Challenge is to realistically represent reservoirs Data explosion Reservoir quality & Volumetric Challenges are related to- scale, technology, & skill
Understanding the reservoir and the associated uncertainty/ risk is key….even in marginal fields
3D Geological Modeling Workflow
StratigraphicModeling
PillarGridding
Well Log Upscale
Facies & Petrophysical
Modeling
Make contacts & Volume Calculation
Intro
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Inte
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Wor
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Property Modeling
Make Horizons Zones & Layering
3D Grid Construction: Structural Modeling S
tudi
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3D Grid ConstructionStructural Framework
Fault Modeling
3D Grid ConstructionStructural Gridding
Introduction Surfaces and Data edit
New Algorithms- Structural Modeling
9
New Algorithm- Model Update
Facies updated in region around new well
Petrophysics updated in region around new well
New well shows low NTG compared to 3D model
New Algorithm-Model Update
Porosity
Facies
Updated modelOriginal model
Improved Algorithm-Integration with Seismic
Seismic Technology can identify Geobodies Geobodies can be incorporated in reservoir models for better
charchaterization Move from stochastic to semi-deterministic
Improved Algorithms- Integration of Various Data
Initial Model Built from geological data, geophysical and petrophysical data
Well Testing provides additional information
Models can be calibrated to handle additional information
No Distance conditioning Distance conditioning
New Algorithms- Capturing Reality
• 15 biggest geobodies extracted
• Well match
Conditioned Simulation (Hard Data)
Dealing with Uncertainty
Uncertainty spectrum is very important for marginal fields Evaluation of scenario uncertainty is more important than generating
multiple realizations for marginal fields
Handling Different Scenarios and Realizations in Petrel
Scenario 1: Petrel geo model 1
Realizations:
Scenario 2: Petrel geo model 2
Scenario 3: Petrel geo model 3
1_11_2
1_N 2_12_2
2_N 3_13_2
3_N
3_3
Volume distributions:
. . . . . .. . .
•Use nested approach: For each scenario, run multiple realizations.•The Cases pane is used to organize the results.
Technical Advantages
Fast Model Building Better integration with various data Rapid model updates Easy and Simple Workflow Faster & Better Decision Making
Conclusion
New geological concepts development New Data Acquisitions Technology (Logs, Seismic) New & Improved Interpretation techniques Integrated Solutions & Multidisciplinary studies Project Management