empirical factors leading to a good fractured reservoir early recognition of fractures high fracture...
TRANSCRIPT
Empirical Factors Empirical Factors Leading to a Leading to a
Good Fractured Good Fractured ReservoirReservoir
• Early recognition of fractures
• High fracture intensity & good connections
• Good interaction between fracture & matrix
• High reservoir energy
• Low water influx
• If deep or fine grained, partial mineralization along fractures
Exploration & Exploration & Development Development
Drilling Score CardDrilling Score Card
• Picking optimum well locations - Good
• Picking optimum drilling directions - Great
• Assigning reservoir properties– Rates - Good– Volumes - Poor– Cross flow - Poor
E & D Drilling Score E & D Drilling Score CardCard
(cont.)(cont.)
• Determining drainage area - Fair
• Predicting well & reservoir response – Recovery - Poor– Longevity - Poor– Well history - Fair
• Assigning risk & economic success rate - Poor to Fair
Modern Approaches Modern Approaches are Based On:are Based On:
• New quantitative techniques in fracture characterization
• Multidisciplinary & integrated analyses
• More available reservoir simulation
• Better use of directional & horizontal drilling techniques
• More in-depth use of Risk Analysis
General OutlineGeneral Outline
1. Introduction
2. Fracture Origin
3. Fracture Morphology
4. Fracture Porosity
5. Fracture Permeability
6. F/M Interaction
7. Fracture Intensity
8. Intensity Prediction
9. Orientations
10. Reservoir Types
11. Well Directions
12. Simulation
13. Fracture Reservoir Production
14. Reservoir Screening
15. Summary
(Field Examples)
SummarySummary
• 6 phase approach to study of fractured reservoirs.
• Build from rock data first.
• Geophysical and rock mech. data can be used to highlight “sweet spots”.
• Reservoir prop. in fractures are different than matrix.
• Res. Mgmt. Strategies are very important.
Summary (cont.)Summary (cont.)
• Future advances will include upscaling fracture descriptions for reservoir simulation and defining connectedness in natural fracture systems.
• Because we can better quantify fractured reservoirs and predict their properties we should no longer fear or avoid them.
ApplyScreening
Tools
Gather Fracture Distribution Data
(Static Data)
Interpret Fracture System Origin &
Apply Distribution
Models (Static Data)
Gather Reservoir
Property Data for Matrix &
Fractures(Static Data)
Gather Fluid & Pressure
Data (Dynamic
Data)
Determine Fracture/Matrix
Interaction
Measure or Infer In Situ Stress Field
Create Dynamic
Conceptual Model
Create Static
Conceptual Model
Determine Fractured
Reservoir Type
Estimate Resources,
Reserves, Rates
Define Inhomogeneity, Anisotropy & Shape Factor
Develop Integrated Static & Dynamic
Reservoir Description for
Simulation
History Match to Wells & Tests
and Iterate
Select Optimum Well Locations
& Well Paths
Develop Depletion
Scheme and Reservoir
Management Strategies
Monitor Field Performance and
Adjust
Obtain Subsurface
Flow & Test Data
(Dynamic Data)
Economic?
Restudy?
Sanction?
Is this a Fractured Reservoir?
R.A. Nelson 9/00
Decision Steps,
Critical Modeling Steps