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The AAPG/Datapages Combined Publications Database
AAPG Special Volumes
Abstract
Ruppel, S. C.,
DOI:10.1306/13341535St63698
2012 by The American Association of Petroleum Geologists.
Summary of Reservoir Characterization Studies in the Fullerton Clear Fork Reservoir
Stephen C. Ruppel1
1Bureau of Economic Geology, The University of Texas at Austin, Austin, Texas, U.S.A.
ACKNOWLEDGMENTS
The research documented here was co-funded by the U.S. Department of Energy (DOE), The University of Texas System, ExxonMobil Corporation, and the Reservoir Characterization Research Laboratory of the Bureau of Economic Geology. James Jennings, Ursula Hammes, James Gibeault, Florence Bonnaffe, Jean-Philippe Nicot, and Julia Gale provided thoughtful critical reviews of the manuscripts. I thank John Stout, Jeff Simmons, and Craig Kemp of Occidental Permian for providing important data for the study and for providing thoughtful insights into project planning. Steve Krohn and Amy Powell helped develop and promote the project within ExxonMobil. Terry Anthony and David Smith, also with ExxonMobil, provided ongoing operator liaison, data exchange, and input on project activities and data interpretation. Tim Hunt from The University of Texas System, West Texas Operations Office, helped with technology transfer activities and gathered new global positioning system location data for wells in the field. Dan Ferguson served as a contract officer for DOE. The support of this research by the Landmark Graphics Corporation via the Landmark University Grant Program is acknowledged. The publication was approved by the director of the Bureau of Economic Geology.
ABSTRACT
Despite declining production rates, existing reservoirs in the United States contain large quantities of remaining oil and gas that constitute an enormous target for improved diagnosis and imaging of reservoir properties. The resource target is especially large in carbonate reservoirs, where conventional data and methodologies are normally insufficient to resolve critical scales of reservoir heterogeneity. The objectives of the research described in this volume were to develop and test such methodologies for improved imaging, measurement, modeling, and prediction of reservoir properties in carbonate hydrocarbon reservoirs. The focus of the study is the Permian Fullerton Clear Fork reservoir of the Permian Basin of west Texas. This reservoir is an especially appropriate choice because the Permian Basin is the largest oil-bearing basin in the United States and, as a play, Clear Fork reservoirs have exhibited the lowest recovery efficiencies of all carbonate reservoirs in the Permian Basin.
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