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Abstract
Beucher-Darricau, H., B. Doligez, and J. M. Yarus, Modeling
complex reservoirs with multiple conditional techniques: A practical approach to reservoir characterization, in T. C. Coburn, J. M. Yarus, and R. L. Chambers, eds., Stochastic
modeling
and geostatistics: Principles, methods, and case studies, volume II: AAPG Computer Applications in Geology 5, p.
DOI:10.1306/1063823CA53242
2006 by The American Association of Petroleum Geologists.
Modeling
Complex Reservoirs with Multiple Conditional Techniques: A Practical Approach to Reservoir Characterization
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H. Beucher-Darricau,1 B. Doligez,2 J. M. Yarus3
1Centre de Gostatistique, Ecole des Mines de Paris Fontainbleau, France
2Institut Franais du P
trole Rueil-Malmaison, France
3Quantitative Geosciences Houston, Texas, U.S.A.
ABSTRACT
Modeling
petroleum reservoirs and the intricacies of their inherent morphological and structural characteristics requires sophisticated tools. These tools may consist of deterministic or stochastic methods that allow the interwell space to be filled with representative reservoir properties. Integrating a variety of
modeling
tools may be necessary for characterizing complex reservoirs. In such cases, the relationships among the lithofacies, the shapes and sizes of the sedimentary bodies, and the depositional mode of the litostratigraphic units must be defined.
It is also important to incorporate other types of information. Including conceptual geological information or three-dimensional seismic
data enhances the model particularly when borehole and core data are limited. This chapter demonstrates the use of object-based, pixel-based, and hybrid stochastic-simulation techniques using a case study involving data from the Ravenscar Group located along the east coast of Yorkshire in the United Kingdom.
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