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The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
1Manuscript received September 18, 1996; revised manuscript
received May 8, 1997; final acceptance January 13, 1998.
2Statoil Research Centre, 7005 Trondheim, Norway.
3Statoil, Petek, 4035 Stavanger, Norway.
4Norwegian Computing Centre, P.O. Box 114, 0314 Oslo, Norway.
This work was primarily done during 1993 and 1994, and was first presented
at the 1994 AAPG Annual Convention in Denver, Colorado. Statoil is acknowledged
for permission to publish. A large number of people have contributed to
the development and testing of the modeling procedure described in this
paper. In particular, we would like to thank Arve Næss, Statoil;
Lars Holden, Norwegian Computing Centre; Jan Inge Tollefsrud, Saga Petroleum;
and Christian Brostrøm and Ulf Lægreid, NTNU, for input at
various stages. T. C. Coburn, J. M. Yarus, an anonymous reviewer, and K.
T. Biddle are thanked for reviewing the manuscript and providing proposals
that improved the final product.
ABSTRACT
The modeling procedure is illustrated using a test data set based on
well interpretations from the fluvial Statfjord Formation in the Statfjord
field of the Norwegian North Sea. The main reservoir sandstones were deposited
in valleys defined by a sequence boundary at the base and a flooding surface
at the top, whereas the main barriers to flow are mudstone-rich intervals
deposited on unconfined alluvial plains. Five sequence boundaries and four
flooding surfaces have been interpreted within an approximately 60-m-thick
reservoir interval. Simulation of these surfaces using the new modeling
procedure defines the three-dimensional distribution of reservoir units
and barriers. The modeling procedure allows the simulation of realistic
geometries that are in accordance with the geologists conceptual model
for the reservoir. The models also provide an enhanced description of reservoir
distribution and connectivity, and can serve as an improved basis for reservoir
management,
well placement, and predictions of reservoir performance in complex fluvial
reservoirs.
A stochastic modeling procedure, designed to capture sequence stratigraphic
principles, has been developed for modeling fluvial reservoirs where high-frequency
base-level fluctuations have exerted a strong influence on reservoir architecture.
Reservoir stratigraphy and architecture are defined by the successive simulation
of two types of surfaces: base-level rise (flooding) surfaces and base-level
fall surfaces (sequence boundaries). The flooding surfaces are modeled
as standard two-dimensional Gaussian fields. Modeling sequence boundaries
with incised valleys is more complex and required the development of a
novel "object" modeling technique. This new model can be used to generate
realistic valley geometries and is flexible enough to allow for complex
multiwell conditioning.
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