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Optimized parameters of downhole all-metal PDM based on genetic algorithm

Petroleum Science 2024年第4期21卷 2663-2676页

作者： Jia-Xing Lu Ling-Rong Kong Yu Wang Chao Feng Yu-Lin Gao China University of Geosciences(Beijing) Beijing100083China Key Laboratory on Deep Geo-Drilling Technology of Ministry of Natural Resources Beijing100083China

Currently,deep drilling operates under extreme conditions of high temperature and high pressure,demanding more from subterranean power *** all-metal positive displacement motor,known for its robust performance,is a critical choice for such *** dimensions of the PDM are crucial for its performance *** enhance this,optimization of the motor's profile using a genetic algorithm has been *** design process begins with the computation of the initial stator and rotor curves based on the equations for a screw *** curves are then refined using the least squares method for a precise *** this,the PDM's mathematical model is optimized,and motor friction is *** genetic algorithm process involves encoding variations and managing crossovers to optimize objective functions,including the isometric radius coefficient,eccentricity distance parameter,overflow area,and maximum slip *** optimization yields the ideal profile parameters that enhance the motor's *** analyses of the initial and optimized output characteristics were conducted,focusing on the effects of the isometric radius coefficient and overflow area on the motor's *** indicate that the optimized motor's overflow area increased by 6.9%,while its rotational speed reduced by 6.58%.The torque,as tested by Infocus,saw substantial improvements of38.8%.This optimization provides a theoretical foundation for improving the output characteristics of allmetal PDMs and supports the ongoing development and research of PDM technology.

关键词： positive displacement motor Genetic algorithm Profile optimization Matlab programming Overflow area

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