Full-Field Reservoir Characterization and Geocellular Modeling of the Kuparuk River Field, North Slope, Alaska
Published:December 01, 2006
Seifert Dirk, Trond B. Jensen, John D. Melvin, Mark H. Scheihing, 2006. "Full-Field Reservoir Characterization and Geocellular Modeling of the Kuparuk River Field, North Slope, Alaska", Reservoir Characterization: Integrating Technology and Business Practices, Roger M. Slatt, Norman c. Rosen, Michael Bowman, John Castagna, Timothy Good, Robert Loucks, Rebecca Latimer, Mark Scheihing, Hu Smith
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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.