Optimal Well Placement in Heterogeneous Reservoirs Via Semi-Analytic Modeling
- Randy D. Hazlett (Potential Research Solutions) | D. Krishna Babu (Potential Research Solutions)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- September 2005
- Document Type
- Journal Paper
- 286 - 296
- 2005. Society of Petroleum Engineers
- 5.8.6 Naturally Fractured Reservoir, 2.3.4 Real-time Optimization, 4.1.5 Processing Equipment, 5.1.5 Geologic Modeling, 1.2.3 Rock properties, 5.1 Reservoir Characterisation, 5.5 Reservoir Simulation, 1.10.1 Drill string components and drilling tools (tubulars, jars, subs, stabilisers, reamers, etc), 4.3.4 Scale, 3.3.6 Integrated Modeling, 5.1.1 Exploration, Development, Structural Geology, 5.3.2 Multiphase Flow, 5.6.9 Production Forecasting, 5.6.4 Drillstem/Well Testing
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The need for accurate well-productivity models with arbitrary welltrajectories spurred a revival in analytic solution methodology for fluidtransport problems.Analytic formulations often depict single-phase flowthroughout the reservoir.The Babu-Odeh horizontal-well solution for abox-shaped reservoir with spatially invariant properties is generalized here toallow closed-form solutions for heterogeneous media.A reservoir isdecomposed into interacting regions, each with its own reservoir properties andassociated analytic potential flow solution.Using established boundaryelement techniques, pressure and flux continuity are imposed at selectedinterface points to solve for the steady material exchange betweenregions. Constant pressure and zero flux features (fractures andbarriers) are easily entertained at region boundaries.The 2D,pseudosteady-state solution for heterogeneous media is embedded within areservoir performance feedback loop of a powerful gradient search method toproduce a robust optimal infill well placement algorithm.Utilizing thisapproach, new criteria are developed concerning optimal placement of verticalwells for primary production with respect to heterogeneity, asymmetry, andanisotropy. The semianalytic method has been extended to 3D flows to serve as acompute engine for a new generation of reservoir management and optimizationtools.
Well-placement strategy in infill programs is strongly dependent upon thereservoir development plan and the present stage in that overallplan.Often, well patterns are deployed based upon uniform permeabilitymodels; however, the role of reservoir heterogeneity can beformidable.Most wells are placed as production wells and selectivelyconverted to injectors as fields mature and interwell communication patternsbecome increasingly important.While reservoir engineers have numericalsimulation methods capable of reservoir performance feedback with regard tocandidate well placement, many of these models have inherent restrictions onthe ability to accurately model well performance.Few reservoir engineershave the luxury to discretize on the level of the wellbore radius, but ratherrely on block-centered, wellbore coupling correlations.Well productionengineers utilize models with fine-scale discretization; however, their inflowperformance predictions can be limited in reservoir scope.
|File Size||1 MB||Number of Pages||11|
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