Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Dong, Xiaohua; * | Liu, Huiqinga | Chen, Zhangxina; b | Qi, Penga
Affiliations: [a] MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China | [b] Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada
Correspondence: [*] Corresponding author: Xiaohu Dong, MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China. Tel.: +86 13466794958; E-mail:dongxh0578@gmail.com
Abstract: The prediction of the recovery performance for Steam-Assisted-Gravity-Drainage (SAGD) process is becoming increasingly important as the SAGD projects all over the world continue to increase. Currently most of these models are analytical or semi-analytical methods, and the predicting process is much complicated. In this paper, based on the grey system theory, we developed a weighted grey correlation model. Aiming at a typical thick heavy oil reservoir from Bohai offshore oilfield, China, the influences of reservoir/fluid parameters and operation parameters on SAGD recovery performance are comprehensively evaluated through this model. And a sensitive sequence of each parameter is derived to reflect the sensitive degree. Thus a static multi-parameter correlation is proposed to predict the oil recovery factor and cumulative oil-steam ratio (COSR) of SAGD process. Then, this correlation is used to predict the SAGD recovery performance in some potential thick heavy oil reservoirs of Bohai oilfield and the results are compared against the numerical simulation models. Thereafter, we investigate some successful and operating SAGD projects around the world and use the correlation to estimate the recovery performance of them. This correlation is a static method to predict the recovery performance of SAGD process and it could be used to successfully predict the recovery performance of SAGD projects.
Keywords: Heavy oil reservoir, correlation, SAGD, numerical simulation, recovery performance
DOI: 10.3233/JCM-170721
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 17, no. 3, pp. 333-345, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl