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Abstract
Chapter from: CA
3: Stochastic Modeling and Geostatistics
Edited by
Jeffrey M. Yarus and Richard L. ChambersAuthors:
Dennis L. Cox, Sandra J. Lindquist, Connie L. Bargas, Karen
G. Havholm and R. Mohan Srivastava 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 22
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Integrated
Modeling for Optimum Management of a Giant Gas Condensate Reservoir, Jurassic
Eolian Nugget Sandstone, Anschutz Ranch East Field, Utah Overthrust (U.S.A.)Dennis L. Cox
Sandra J. Lindquist
Connie L. Bargas
Amoco Production Company
Denver, Colorado, U.S.A.
Karen G. Havholm
Department of Geology
University of Wisconsin
Eau Claire, Wisconsin,
U.S.A.
R. Mohan Srivastava
FSS International
Vancouver, British Columbia,
Canada
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ABSTRACT
Innovative modeling techniques
were combined to generate a quantitative, realistic characterization of
the eolian Jurassic Nugget Sandstone for an ongoing reservoir study. Dimensions
of four different eolian stratification types, infilling cross-set frameworks
derived from synthetic bed-form modeling, provided statistical parameters
for conditional simulations. Permeability fields generated in the conditional
simulation were scaled up for flow simulation in cross section and three-dimensional
models. Sensitivities to geologic uncertainties and to conditional simulation
parameters were studied. A representative geologic model, with appropriate
delineation of reservoir heterogeneity for this field, was attained by
matching historical performance of a field segment. |
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