Drilling Parameters Optimization Based on Chaotic Multi-Objective Particle Swarm Optimization Algorithm

Abstract

Due to Original drilling parameters optimization theory regards drilling rate as the core, to reduce the cost as the single purpose, ignoring other factors, multi-objective optimization model of drilling parameters, which included three goals: the rate of penetration, the bit life and the bit energy ratio was put forward satisfied certain constraints. Aiming at the present optimization method is easy to trap into a local optimization, a chaotic multi-objective particle swarm optimization algorithm was proposed. Standard test function results show that the improved algorithm has good convergence and distribution, and a better ability to jump out of local optimum. At last, the modified algorithm was introduced to solve multi-objective optimization model of drilling parameters according to an oil field practical example. The simulation test obtains the evenly distributed pare to front, which proves the effectiveness of the model and the algorithm, provided effective evidence for the selection of optimization scheme.