A Modified Niching Crow Search Approach to Well Placement Optimization

Energies

卷:14

Hitmi Khalifa Alhitmi¹  Junzo Watada²  Ahshanul Hoqe³  PandianM. Vasant⁴  Jahedul Islam⁴  BerihunMamo Negash⁵  MdShokor A. Rahaman⁶ 

[1] College of Business and Economics, Qatar University, Doha 00974, Qatar;

[2] Department of Computer & Information Sciences, Universiti Teknologi Petronas, Seri Iskandar 32610, Perak, Malaysia;

[3] Electrical & Electronic Engineering Department, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh;

[4] Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia;

[5] Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia;

[6] Shale Gas Research Group, Institute of Hydrocarbon Recovery, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia;

关键词: non-convex;    crow search algorithm;    well placement optimization;    multimodal optimization;    niching crow search algorithm;   

DOI  :  10.3390/en14040857

来源: DOAJ

【 摘 要 】

Well placement optimization is considered a non-convex and highly multimodal optimization problem. In this article, a modified crow search algorithm is proposed to tackle the well placement optimization problem. This article proposes modifications based on local search and niching techniques in the crow search algorithm (CSA). At first, the suggested approach is verified by experimenting with the benchmark functions. For test functions, the results of the proposed approach demonstrated a higher convergence rate and a better solution. Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). The outcomes of the study revealed that the niching crow search algorithm is the most efficient and effective compared to the other techniques.

【 授权许可】

Unknown