caa a22 4500 605538905 CHVBK 20210128100904.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11053-014-9255-7 doi (NATIONALLICENCE)springer-10.1007/s11053-014-9255-7 Application of Genetic Algorithm (GA) in History Matching of the Vapour Extraction (VAPEX) Heavy Oil Recovery Process [Elektronische Daten] [Suxin Xu, Min Zhang, Fanhua Zeng, Christine Chan] This paper presents the application of genetic algorithm (GA) to the history-matching problem. As history matching of VAPEX (vapour extraction) experiments is a complex, highly nonlinear, and non-unique inverse problem, a modified GA was developed to assist the history-matching process. Compared to conventional GA, the computational time in this modified GA approach was reduced by 71%, and an excellent match between the simulation data and experimental data was achieved, with the error being less than 1%. This study is focussed on automatic history matching of the VAPEX heavy oil recovery process. International Association for Mathematical Geosciences, 2014 Genetic Algorithm nationallicence History match nationallicence Vapor extraction nationallicence Heavy oil recovery nationallicence Xu Suxin Saskatchewan Research Council (SRC), Regina, SK, Canada aut Zhang Min Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada aut Zeng Fanhua Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada aut Chan Christine Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada aut Natural Resources Research Springer US; http://www.springer-ny.com 24/2(2015-06-01), 221-237 1520-7439 24:2<221 2015 24 11053 https://doi.org/10.1007/s11053-014-9255-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11053-014-9255-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xu Suxin Saskatchewan Research Council (SRC), Regina, SK, Canada aut NATIONALLICENCE 700 1- Zhang Min Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada aut NATIONALLICENCE 700 1- Zeng Fanhua Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada aut NATIONALLICENCE 700 1- Chan Christine Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada aut NATIONALLICENCE 773 0- Natural Resources Research Springer US; http://www.springer-ny.com 24/2(2015-06-01), 221-237 1520-7439 24:2<221 2015 24 11053