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A Surrogate Assisted Quantum-behaved Algorithm for Well Placement Optimization

Islam, Jahedul, Nazir, Amril, Hossain, Md. Moinul, Alhitmi, Hitmi Khalifa, Kabir, Muhammad Ashad, Jallad, Abdul-Halim (2022) A Surrogate Assisted Quantum-behaved Algorithm for Well Placement Optimization. IEEE Access, . ISSN 2169-3536. (doi:10.1109/ACCESS.2022.3145244) (KAR id:92822)

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Official URL:
https://doi.org/10.1109/ACCESS.2022.3145244

Abstract

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.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2022.3145244
Uncontrolled keywords: Quantum Computation, Well placement optimization, Multimodal optimization, Metaheuristic, Nonlinear optimization problem, Reservoir simulation
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Moinul Hossain
Date Deposited: 23 Jan 2022 22:10 UTC
Last Modified: 25 Jan 2022 10:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/92822 (The current URI for this page, for reference purposes)
Hossain, Md. Moinul: https://orcid.org/0000-0003-4184-2397
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