Optimization of drilling performance using various metaheuristics

Abstract The most crucial function in drilling wells is the rate of penetration, which modeled by many researchers, and best one Young-Bourgyen model, used this study. Eight factors affecting penetration have been studied approved developing a mathematical equation that shows combined effects these variables on optimization. This paper presents an efficient way to find optimum values for parameters model using metaheuristic algorithms. An actual data was from Khangiran field calculate difference between predicted different optimization Particle swarm optimization, dynamic differential annealing artificial bee colony, gray wolf Harris hawk's flower pollination algorithm, firefly whale sine cosine algorithm are possible solution.