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Enhanced oil recovery with water injection, Sorrento field, Denver basin, Colorado, U.S.A

Posted on:2011-03-18Degree:M.EngType:Thesis
University:Dalhousie University (Canada)Candidate:Varma, AmitabhFull Text:PDF
GTID:2441390002958255Subject:Engineering
Abstract/Summary:
The Sorrento field is located in Cheyenne County, Colorado (T13 and 14S, R49W) on the northwest flank of the Las Animas arch in the southeast part of the Denver basin. Sorrento field is estimated to have 29 million bbl of oil in place (estimates based on figures supplied to the Colorado Oil and Gas Conservation Commission by Champlin Petroleum Company). Under primary recovery, 22% of the oil in place or 6.6 million bbl of oil has been produced. As of October 1989, the field has produced 7.6 million bbl of oil, 3.7 bet of gas, and 6.0 million bbl of water.;In this study, streamline simulation is applied to Sorrento field. Water flood management is observed by the passage of time. Pattern management for the injector and producer is also observed using publicly available general data, well logs & technical data of Sorrento field. The main purpose of the study is to show how well streamline simulation quantifies the relationship between injector and production well.;The Sorrento Field represents the main reservoir that contains 10 million bbl of recoverable reserves of which 7.8 million bbl have been produced as of 1989. The oil prices since then have increased and more of the 29 million bbl in resources have been converted to reserves.;The objective of this project is to tap the new recoverable reserves using Enhanced Recovery Technique.;A possible solution to increase production in Sorrento field is achieved through water injection. Optimization of water-flooding is critical to the enhanced recovery process for reservoir management. Streamline simulation provides a workflow of the water flooding scenario that identifies distribution of injected water to related producers.
Keywords/Search Tags:Sorrento field, Water, Oil, Colorado, Million bbl, Streamline simulation, Recovery, Enhanced
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