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Information Journal Paper

Title

FRACTURED RESERVOIRS HISTORY MATCHING BASED ON PROXY MODEL AND INTELLIGENT OPTIMIZATION ALGORITHMS

Pages

  49-67

Abstract

 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.

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  • Cite

    APA: Copy

    RIAZI, SAYYED HADI, ZARGAR, GHASEM, BAHARIMOGHADAM, MEHDI, & SHARIFI DARANI, EBRAHIM. (2016). FRACTURED RESERVOIRS HISTORY MATCHING BASED ON PROXY MODEL AND INTELLIGENT OPTIMIZATION ALGORITHMS. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), 50(1), 49-67. SID. https://sid.ir/paper/692423/en

    Vancouver: Copy

    RIAZI SAYYED HADI, ZARGAR GHASEM, BAHARIMOGHADAM MEHDI, SHARIFI DARANI EBRAHIM. FRACTURED RESERVOIRS HISTORY MATCHING BASED ON PROXY MODEL AND INTELLIGENT OPTIMIZATION ALGORITHMS. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING)[Internet]. 2016;50(1):49-67. Available from: https://sid.ir/paper/692423/en

    IEEE: Copy

    SAYYED HADI RIAZI, GHASEM ZARGAR, MEHDI BAHARIMOGHADAM, and EBRAHIM SHARIFI DARANI, “FRACTURED RESERVOIRS HISTORY MATCHING BASED ON PROXY MODEL AND INTELLIGENT OPTIMIZATION ALGORITHMS,” JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), vol. 50, no. 1, pp. 49–67, 2016, [Online]. Available: https://sid.ir/paper/692423/en

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