Optimized parameters of downhole all-metal PDM based on genetic algorithm
作者机构:China University of Geosciences(Beijing)Beijing100083China Key Laboratory on Deep Geo-Drilling Technology of Ministry of Natural ResourcesBeijing100083China
出 版 物:《Petroleum Science》 (石油科学(英文版))
年 卷 期:2024年第21卷第4期
页 面:2663-2676页
核心收录:
学科分类:0820[工学-石油与天然气工程] 082001[工学-油气井工程] 08[工学]
基 金:supported by the National Natural Science Foundation of China (No.42172343)
主 题:Positive displacement motor Genetic algorithm Profile optimization Matlab programming Overflow area
摘 要: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.