Riazi, Sayyed Hadi, Zargar, Ghasem, Baharimoghadam, Mehdi, Sharifi Darani, Ebrahim. (1395). Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms. , 50(1), 49-67. doi: 10.22059/jchpe.2016.57843
Sayyed Hadi Riazi; Ghasem Zargar; Mehdi Baharimoghadam; Ebrahim Sharifi Darani. "Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms". , 50, 1, 1395, 49-67. doi: 10.22059/jchpe.2016.57843
Riazi, Sayyed Hadi, Zargar, Ghasem, Baharimoghadam, Mehdi, Sharifi Darani, Ebrahim. (1395). 'Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms', , 50(1), pp. 49-67. doi: 10.22059/jchpe.2016.57843
Riazi, Sayyed Hadi, Zargar, Ghasem, Baharimoghadam, Mehdi, Sharifi Darani, Ebrahim. Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms. , 1395; 50(1): 49-67. doi: 10.22059/jchpe.2016.57843

Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms

Journal of Chemical and Petroleum Engineering
مقاله 5، دوره 50، شماره 1، شهریور 2016، صفحه 49-67    اصل مقاله (3.08 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jchpe.2016.57843
نویسندگان
Sayyed Hadi Riazi1؛ Ghasem Zargar* 1؛ Mehdi Baharimoghadam1؛ Ebrahim Sharifi Darani2
1Department of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran
2Department of Reservoir Evaluation, National Iranian South Oil Company (NISOC), Ahwaz, Iran
چکیده
   In this paper, a new robust approach based on Least Square Support Vector Machine (LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The proxy model is made to model the history match objective function (mismatch values) based on the history data of the field. This model is then used to minimize the objective function through Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA). This procedure leads to matching of history of the field in which a set of reservoir parameters is used. The final sets of parameters are then applied for the full simulation model to validate the technique. The obtained results showed that due to high speed and need for little data sets, LSSVM is the best tool to build a proxy model. Also the comparison of PSO and ICA showed that PSO is less time-consuming and more effective. 
کلیدواژه‌ها
Automatic fractured reservoir history matching؛ ICA؛ LSSVM؛ Proxy model؛ PSO
مراجع
آمار
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