Multi-Objective Spotted Hyena Optimizer for 3D Well Path Optimization

Authors

  • Kallol Biswas, Touhidul Islam, Jewel Sikder Joy, Pandian Vasant, Jose Antonio Gamez Vintaned, Junzo Watada

Abstract

The optimized design of wellbore trajectory acts as a key factor in the industries associated with oil and gas. Optimization of three significant parameters i.e. true measured depth, torque, and well strain energy are required for optimum wellbore trajectory. As per the formulation of the problem, affiliated objective functions in this paper rely upon 16 different variables. Nowadays nature-inspired algorithm for optimization of trajectory has attained immense popularity. As this issue is dealing with a multi-objective problem, a multi-objective spotted hyena optimizer is introduced to execute the highly non-linear, complex, and contradictory optimization problems. To ascertain the significance, the introduced algorithm has been compared with other established and commonly employed algorithms. Besides, statistical tests like inverse generation distance and maximum spread have been performed to test the proposed optimization algorithm

Published

2020-10-27

Issue

Section

Articles