A Surrogate Assisted Quantum-Behaved Algorithm for Well Placement Optimization
المؤلف | Islam, Jahedul |
المؤلف | Nazir, Amril |
المؤلف | Hossain, Md Moinul |
المؤلف | Alhitmi, Hitmi Khalifa |
المؤلف | Kabir, Muhammad Ashad |
المؤلف | Jallad, Abdul Halim M. |
تاريخ الإتاحة | 2024-04-25T07:45:37Z |
تاريخ النشر | 2022-01-20 |
اسم المنشور | IEEE Access |
المعرّف | http://dx.doi.org/10.1109/ACCESS.2022.3145244 |
الاقتباس | Islam, J., Nazir, A., Hossain, M. M., Alhitmi, H. K., Kabir, M. A., & Jallad, A. H. M. (2022). A surrogate assisted quantum-behaved algorithm for well placement optimization. IEEE Access, 10, 17828-17844. |
الملخص | The oil and gas industry faces difficulties in optimizing well placement problems. These problems are multimodal, non-convex, and discontinuous in nature. Various traditional and non-traditional optimization algorithms have been developed to resolve these difficulties. Nevertheless, these techniques remain trapped in local optima and provide inconsistent performance for different reservoirs. This study thereby presents a Surrogate Assisted Quantum-behaved Algorithm to obtain a better solution for the well placement optimization problem. The proposed approach utilizes different metaheuristic optimization techniques such as the Quantum-inspired Particle Swarm Optimization and the Quantum-behaved Bat Algorithm in different implementation phases. Two complex reservoirs are used to investigate the performance of the proposed approach. A comparative study is carried out to verify the performance of the proposed approach. The result indicates that the proposed approach provides a better net present value for both complex reservoirs. Furthermore, it solves the problem of inconsistency exhibited in other methods for well placement optimization. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. (IEEE) |
الموضوع | Metaheuristic Multimodal optimization Nonlinear optimization problem Quantum computation Reservoir simulation Well placement optimization |
النوع | Article |
الصفحات | 17828-17844 |
رقم المجلد | 10 |
ESSN | 2169-3536 |
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