Fuel 216 (2018) 83–100 Contents lists available at ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel Full Length Article Performance forecasting for polymer ﬂooding in heavy oil reservoirs a, b a Ehsan Amirian , Morteza Dejam , Zhangxin Chen Department of Chemical and Petroleum Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada Department of Petroleum Engineering, College of Engineering and Applied Science, University of Wyoming, 1000 E. University Avenue, Laramie, WY 82071-2000, USA GR APHICAL A BSTRACT ARTICLE I NFO ABSTRACT Keywords: As a supply for future fuel and energy demand, 95% of the bitumen deposits in North America are expected to Polymer ﬂooding become a major source. The Steam Assisted Gravity Drainage (SAGD) provides more eﬃcient recovery of un- Heavy oil reservoir conventional oil resources, such as heavy oil and bitumen, as compared to the other thermal recovery methods. Performance forecasting The drawback associated with SAGD or other thermal methods is that they are economically non-proﬁtable Data-driven modeling when applied to the deep and thin reservoirs. Environmental concerns related to land, water, and air also hinder Artiﬁcial and computational intelligence the application of the aforementioned methods. These issues have provoked reservoir engineers
Journal of Cleaner Production – Elsevier
Published: Jul 20, 2018
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