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Full-Field Reservoir Characterization and Geocellular Modeling of the Kuparuk River Field, North Slope, Alaska

By
Seifert Dirk
Seifert Dirk
ConocoPhillips Alaska, Inc. 700 G Street Anchorage, Alaska 99510
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Trond B. Jensen
Trond B. Jensen
ConocoPhillips Alaska, Inc. 700 G Street Anchorage, Alaska 99510
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John D. Melvin
John D. Melvin
ConocoPhillips Alaska, Inc. 700 G Street Anchorage, Alaska 99510
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Mark H. Scheihing
Mark H. Scheihing
ConocoPhillips, Inc. 600 North Dairy Ashford Houston, Texas 77079
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Published:
December 01, 2006

Abstract

The Kuparuk River Field, located on the North Slope of Alaska, is the second largest oil field in the U.S. Discovered in 1969 with production beginning in 1981, the reservoir interval extends over 280 square miles and has a gross thickness of 300 ft. STOOIP is estimated to be 6 BBO, of which 2 BBO have been produced to date. The field is produced from approximately 1000 wells on 160 acre spacing from 44 drill sites, employing a north-south line drive with waterflood, and miscible WAG processes.

A major initiative has been undertaken to build a new full-field reservoir simulation model as a leveraging tool for managing the field performance. Key issues to be addressed using this model include EOR expansion to additional drill sites and field-wide evaluation of potential by-passed oil. In addition, this modeling work will support justification and planning of infill CTD (coil tubing drilling) and rotary wells.

To support this reservoir engineering effort, a full-field geocellular model has been constructed, integrating 20 years of field data and reservoir characterization work. The full-field model consists of 151 million total cells of which approximately 20 million active cells are in the fine scale model. The fine scale model has been up-scaled in preparation for full field compositional flow simulation which, in turn, may impact flood design, EOR adjustments, data acquisition strategies, and budgetary long range planning. Small sectors of the model are extracted to look at individual well patterns in more detail. Using such sector models enables the identification, planning, and execution of infill drilling opportunities.

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GCSSEPM

Reservoir Characterization: Integrating Technology and Business Practices

Roger M. Slatt
Roger M. Slatt
Houston, Texas
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Norman c. Rosen
Norman c. Rosen
Houston, Texas
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Michael Bowman
Michael Bowman
Houston, Texas
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John Castagna
John Castagna
Houston, Texas
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Timothy Good
Timothy Good
Houston, Texas
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Robert Loucks
Robert Loucks
Houston, Texas
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Rebecca Latimer
Rebecca Latimer
Houston, Texas
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Mark Scheihing
Mark Scheihing
Houston, Texas
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Hu Smith
Hu Smith
Houston, Texas
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SEPM Society for Sedimentary Geology
Volume
26
ISBN electronic:
978-0-9836096-4-3
Publication date:
December 01, 2006

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