A Modified Niching Crow Search Approach to Well Placement Optimization

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...

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Bibliographic Details
Published in:Energies (Basel) 2021-02, Vol.14 (4), p.857
Main Authors: Islam, Jahedul, Rahaman, Md Shokor A., Vasant, Pandian M., Negash, Berihun Mamo, Hoqe, Ahshanul, Khalifa Alhitmi, Hitmi, Watada, Junzo
Format: Article
Language:English
Subjects:
Algorithms
Approximation
Capital expenditures
crow search algorithm
Gas industry
Genetic algorithms
Gravity
Integer programming
multimodal optimization
Net present value
niching crow search algorithm
non-convex
Optimization
Optimization techniques
Permeability
Petroleum production
Search algorithms
Statistical analysis
well placement optimization
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14040857