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Abstract
Chapter from: CA
3: Stochastic Modeling and Geostatistics
Edited by
Jeffrey M. Yarus and Richard L. ChambersAuthors:
Richard L. Chambers, Michael L. Zinger and Michael C. Kelly Methodology and Concepts
Published 1994 as
part of Computer Applications 3
Copyright © 1994 The American Association of Petroleum
Geologists. All Rights Reserved. |
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Chapter 13
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Constraining
Geostatistical Reservoir Descriptions with 3-D Seismic Data to Reduce UncertaintyRichard L. Chambers
Amoco Production Research
Tulsa, Oklahoma, U.S.A.
Michael A. Zinger
Amoco Production Company
Cairo, Egypt
Michael C. Kelly
Amoco Production Research
Tulsa, Oklahoma, U.S.A.
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ABSTRACT
The geostatistical external
drift method is used to integrate three-dimensional (3-D) seismic data
into a reservoir description and is illustrated with an application on
a west Texas Permian basin interbedded carbonate-clastic reservoir. Seismic
reflection amplitude, inverted to acoustic impedance, supplements sparse
well control to estimate interwell porosity.
The North Cowden unit is a mature field
and serves as a laboratory for many reservoir characterization experiments.
The extensive wireline and core database available for the area covered
by a high-resolution 3-D seismic survey was resampled to mimic scenarios
similar to three stages in a reservoir's life: (1) a late exploration/appraisal
phase; (2) a development phase; and (3) a mature production phase, typical
of many Permian basin fields.
Spatial interpolation by kriging porosity
with and without seismic data are compared. Stochastic (Monte Carlo) simulations
are used to evaluate interpolation uncertainty (standard error). Interpolation
uncertainty is greatly reduced when seismic data are integrated into the
reservoir description. |
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