Streamline-Based Production Data Integration in Naturally Fractured Reservoirs
- Mishal H. Al-Harbi (Texas A&M U.) | Hao Cheng (Texas A&M U.) | Zhong He (Texas A&M U.) | Akhil Datta-Gupta (Texas A&M U.)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- December 2005
- Document Type
- Journal Paper
- 426 - 439
- 2005. Society of Petroleum Engineers
- 5.8.7 Carbonate Reservoir, 4.1.2 Separation and Treating, 5.1 Reservoir Characterisation, 5.1.8 Seismic Modelling, 5.6.4 Drillstem/Well Testing, 5.3.1 Flow in Porous Media, 5.5.7 Streamline Simulation, 5.8.6 Naturally Fractured Reservoir, 5.6.5 Tracers, 5.5.8 History Matching, 4.3.4 Scale, 7.6.2 Data Integration, 5.5 Reservoir Simulation, 4.1.5 Processing Equipment, 5.1.5 Geologic Modeling
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Streamline-based models have shown great potential in reconcilinghigh-resolution geologic models to production data. In this paper, we extendthe streamline-based production-data integration technique to naturallyfractured reservoirs. Describing fluid transport in fractured reservoirs posesadditional challenges arising from the matrix/fracture interactions. We use adual-porosity streamline model for fracture-flow simulation by treating thefracture and matrix as separate continua that are connected through a transferfunction. Next, we analytically compute the sensitivities that define therelationship between the reservoir properties and the production response infractured reservoirs. The sensitivities are an integral part of our approachand can be evaluated very efficiently as 1D integrals along streamlines.Finally, the production-data integration is carried out by a generalizedtravel-time inversion that has been shown to be robust because of itsquasilinear properties and that uses established techniques from geophysicalinverse theory.
We also apply the streamline-derived sensitivities in conjunction with adual-porosity finite-difference simulator to combine the efficiency of thestreamline approach with the versatility of the finite-difference approach.This significantly broadens the applicability of the streamline-based approachin terms of incorporating compressibility effects and complex physics. Wedemonstrate the power and utility of our approach using 2D and 3D syntheticexamples designed after actual field conditions. The reference fracturepatterns are generated using a discrete fracture network (DFN) model thatallows us to include statistical properties of fracture swarms, fracturedensities, and network geometries. The DFN is then converted to a continuummodel with equivalent gridblock permeabilities. Starting with prior models withvarying degrees of fracture information, we match the water-cut history fromthe reference model. Both dual-porosity streamline and finite-differencesimulators are used to model fluid flow in the fractured media. Our resultsindicate the effectiveness of our approach and the role of prior informationand production data in reproducing fracture connectivities and preferentialflow paths.
|File Size||2 MB||Number of Pages||14|
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