Application of Genetic Algorithm (GA) in History Matching of the Vapour Extraction (VAPEX) Heavy Oil Recovery Process
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| 024 | 7 | 0 | |a 10.1007/s11053-014-9255-7 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11053-014-9255-7 | ||
| 245 | 0 | 0 | |a Application of Genetic Algorithm (GA) in History Matching of the Vapour Extraction (VAPEX) Heavy Oil Recovery Process |h [Elektronische Daten] |c [Suxin Xu, Min Zhang, Fanhua Zeng, Christine Chan] |
| 520 | 3 | |a 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. | |
| 540 | |a International Association for Mathematical Geosciences, 2014 | ||
| 690 | 7 | |a Genetic Algorithm |2 nationallicence | |
| 690 | 7 | |a History match |2 nationallicence | |
| 690 | 7 | |a Vapor extraction |2 nationallicence | |
| 690 | 7 | |a Heavy oil recovery |2 nationallicence | |
| 700 | 1 | |a Xu |D Suxin |u Saskatchewan Research Council (SRC), Regina, SK, Canada |4 aut | |
| 700 | 1 | |a Zhang |D Min |u Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada |4 aut | |
| 700 | 1 | |a Zeng |D Fanhua |u Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada |4 aut | |
| 700 | 1 | |a Chan |D Christine |u Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada |4 aut | |
| 773 | 0 | |t Natural Resources Research |d Springer US; http://www.springer-ny.com |g 24/2(2015-06-01), 221-237 |x 1520-7439 |q 24:2<221 |1 2015 |2 24 |o 11053 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11053-014-9255-7 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11053-014-9255-7 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Xu |D Suxin |u Saskatchewan Research Council (SRC), Regina, SK, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhang |D Min |u Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zeng |D Fanhua |u Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Chan |D Christine |u Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Natural Resources Research |d Springer US; http://www.springer-ny.com |g 24/2(2015-06-01), 221-237 |x 1520-7439 |q 24:2<221 |1 2015 |2 24 |o 11053 | ||