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Geostatistical reservoir characterization and scale-up of permeability and relative permeabilities
Bibliografi
Author:
Malik, Mohammad Abdul
;
Lake, Larry W.
(Advisor)
Topik:
ENGINEERING
;
PETROLEUM|GEOTECHNOLOGY
Bahasa:
(EN )
ISBN:
0-591-27942-8
Penerbit:
THE UNIVERSITY OF TEXAS AT AUSTIN
Tahun Terbit:
1996
Jenis:
Theses - Dissertation
Fulltext:
9719426.pdf
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)
Abstract
In this dissertation several unresolved issues related to reservoir characterization and simulation techniques are investigated. Geostatistical techniques have not been adequately validated because of scarcity of reference or truth cases for subsurface reservoirs. This study uses detailed deterministic permeability distributions, and corresponding fluid-flow results from an outcrop study as a reference case, to validate stochastic permeability distributions generated by conditional simulation (CS). This is a first of its kind test on the reliability of stochastic permeability distributions. Results indicate that CS must be adapted to the specific geologic environment for best agreement with deterministic simulations. This study uses core permeability data from an actual producing field to generate a three-dimensional CS permeability distribution. This example serves as a model with practical details for data evaluation, determination of autocorrelation structure and generation of multiple realizations of permeability distribution. The CS permeability distributions are evaluated for their conformity with reservoir geology so that the most realistic realizations can be selected. Fine-scale permeability distributions must often be scaled-up to economically perform fluid-flow simulations. This work applies four methods for independent scale-up of permeability from fine to a practical field-simulation scale. Permeability is also scaled-up by a dependent fine-scale simulation scheme that acknowledges flow through neighboring coarse blocks in the process. Results from independent scale-up of realistic CS permeability cross sections show that independent fine-scale simulation is an overall preferable method because of good accuracy and flexibility in application. Especially in low-permeability blocks, the independent and dependent estimates of scaled-up permeability can be significantly different. Closely related to permeability scale-up is the treatment of relative permeability. In this research, relative permeabilities are scaled-up by steady-state as well as dynamic fluid-flow simulations. Results show that steady-state scaled-up curves are almost the same as the rock curves, while dynamic scaled-up curves are different. Comparison of results from fluid-flow simulations from fine and corresponding coarse cross sections shows that rock curves perform better than dynamic scaled-up curves in 2D coarse simulations.
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