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Reservoir permeability distributions from multi-well test sequences in heterogeneous reservoirs
Abstract
Reservoir characterization activities such as well testing have become quite important to petroleum engineers because we can estimate distributions of reservoir properties such as permeability and porosity directly from measurements of pressure and time. Analysis and interpretation methods that we have developed provide estimates of permeability distributions using well test data from single and multiple well pressure tests. The purpose of this study was to accurately determine permeability distributions in a radially heterogeneous reservoir. We focused our efforts on the analysis of pressure test data from multi-well interference tests (where pressures are measured in more than one well). We considered two wells in the reservoir where one well is an "active" well (with production or injection), and the other well is an "observation" well that is shut-in. This work extends the analytical perturbation solution proposed by Oliver to model multiple wells in an infinite-acting reservoir where permeability is assumed to vary radially and slightly in relation to a reference value. Since the pressure response at an observation well is not influenced by property variations in the inter-well region, we extended the inverse solution procedures such as ISA and MYA methods in order to adapt these methods for application to interference tests. We studied the determination of the instantaneous permeability computed from the pressure derivative function for estimating reservoir properties from multi-well tests Reservoir characterization activities such as well testing have become quite important to petroleum engineers because we can estimate distributions of reservoir properties such as permeability and porosity directly from measurements of pressure and time. Analysis and interpretation methods that we have developed provide estimates of permeability distributions using well test data from single and multiple well pressure tests. The purpose of this study was to accurately determine permeability distributions in a radially heterogeneous reservoir. We focused our efforts on the analysis of pressure test data from multi-well interference tests (where pressures are measured in more than one well). We considered two wells in the reservoir where one well is an "active" well (with production or injection), and the other well is an "observation" well that is shut-in. This work extends the analytical perturbation solution proposed by Oliver to model multiple wells in an infinite-acting reservoir where permeability is assumed to vary radially and slightly in relation to a reference value. Since the pressure response at an observation well is not influenced by property variations in the inter-well region, we extended the inverse solution procedures such as ISA and MYA methods in order to adapt these methods for application to interference tests. We studied the determination of the instantaneous permeability computed from the pressure derivative function for estimating reservoir properties from multi-well tests because the early time data for an observation well reflects the distance between the active well and the observation point. Another focus of our study was the review of the various concepts regarding the radius of investigation- In particular we investigated the effect of the radius of investigation in using ISA and MYA methods to characterize permeability distributions in radially heterogeneous reservoirs through the interpretation of pressure data from simulated interference tests. Finally, we applied the inverse solution procedures (ISA and MYA methods) to interpret drawdown and buildup pressure tests in radially heterogeneous reservoirs. We investigated two specific production scenarios for buildup tests--a pressure buildup test following a short flow period and following production to stabilized flow.
Description
Vita.Subject
Major petroleum engineeringCollections
Citation
Ryou, Sangsoo (1995). Reservoir permeability distributions from multi-well test sequences in heterogeneous reservoirs. Texas A&M University. Texas A&M University. Libraries. Available electronically from https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -1560302.
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