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Reservoir Simulation Models of an Eocene Lacustrine Delta, Green River Formation, Southwest Uinta Basin, Utah

By
Rosalind Archer
Rosalind Archer
University of Auckland, Department of Engineering Science
,
Auckland
,
New Zealand
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Enis Robbana
Enis Robbana
BP, Sunbury-on-Thames
,
United Kingdom
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Bradley D. Ritts
Bradley D. Ritts
Chevron, Energy Technology Company
,
San Ramon, California
,
U.S.A
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Jessica Moore
Jessica Moore
Chevron, Bakersfield, California
,
U.S.A.
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Cari Johnson
Cari Johnson
University of Utah, Department of Geology and Geophysics
,
Salt Lake City, Utah
,
U.S.A.
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Andrew Taylor
Andrew Taylor
Anadarko Petroleum Corporation
,
The Woodlands, Texas
,
U.S.A
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Published:
January 01, 2012

Abstract

This chapter presents three groups of reservoir simulation models that address aspects of fluid flow in deltaic systems of lacustrine basins. These models are based on companion field-based geologic investigations of the Eocene Green River Formation in Nine Mile Canyon of the Uinta Basin, Utah (Taylor and Ritts, 2004; Moore et al., 2012). The first group consists of models based on two-dimensional (2-D) geologic descriptions of outcrops in Parley Canyon (Taylor and Ritts, 2004). These descriptions, combined with petrophysical data from measured sections to produce a three-dimensional (3-D) model based on one-dimensional (1-D) and 2-D data. Because results of the first simulation models demonstrated the importance of channels in the plumbing of such lacustrine deltaic systems, a second group of simulation models was constructed to address the impact of heterogeneity within individual channels on flow across and along channels. The data used to generate these channel models are entirely synthetic, although the geometries involved were digitized from sketches drawn by a geologist and guided by relationships observed in the Uinta Basin study area. The third group of models represents the northwest Argyle Canyon area and, unlike the Parley Canyon model, was constructed from a third geologic data set that was produced by integrating light detection and ranging (LIDAR) scanning and correlation with geologic description of multiple cliff outcrops of varying orientation in the field (Moore et al., 2012). Together, these models demonstrate dominant characteristics that control production efficiency of reservoirs in lacustrine deltaic settings and also demonstrate how improving geologic characterization improves the 3-D modeling of such systems.

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Contents

AAPG Memoir

Lacustrine Sandstone Reservoirs and Hydrocarbon Systems

Olive W. (Terry) Baganz
Olive W. (Terry) Baganz
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Yuval Bartov
Yuval Bartov
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Kevin M. Bohacs
Kevin M. Bohacs
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Dag Nummedal
Dag Nummedal
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American Association of Petroleum Geologists
Volume
95
ISBN electronic:
9781629810096
Publication date:
January 01, 2012

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