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The AAPG/Datapages Combined Publications Database
AAPG Special Volumes
Abstract
Lecour, M. A., P. Thore, and R. Cognot,
study
, 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.
Consistent Structural Model Simulations for Volumetric Uncertainty
Study
Study
M. A. Lecour,1 P. Thore,2 R. Cognot3
1Earth Decision Nancy, France
2Total Pau, France
3Earth Decision Nancy, France
ACKNOWLEDGMENTS
This work is a result of a Ph.D. dissertation sponsored by TotalFinaElf and realized within the gOcad Consortium. The authors thank the Laboratoire Infographie et Analyse de Donnees, Nancy, France; all members of the gOcad Consortium; and especially TotalFinaElf for their support in this work.
ABSTRACT
Uncertainty studies become increasingly important as
reservoir
complexity increases. Although such studies are commonly a key factor in oil and gas exploration, projects are commonly restricted to
simulation
of facies and petrophysical properties. The structure of the
reservoir
itself is commonly considered to be a deterministic parameter, and yet it may contain uncertainty that has a major impact on the reserve estimations.
A new methodology based on the P-field technique and focusing on
reservoir
geometry uncertainty is proposed to tackle this problem. With this method, not only horizon but also fault geometries are simulated around a given reference model.
Because simulating fault geometries is more difficult than simulating horizon geometries, a new data structure has been designed to produce efficient computation of geometries. The
simulation
method tries to preserve the initial geometry at best. It may affect the location, dip, and shape in map view of all faults or any combination of these three basic modifications. Then, for each fault network realization, several horizon geometry simulations may be performed. The modeling and
simulation
system keep the geological model consistent after each
simulation
loop, allowing volumetric studies to proceed in a consistent fashion.
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