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基于IWOA-双向LSTM的绞车滚筒可靠性分析

Reliability Analysis of Drawworks Drum Based on IWOA-Bidirectional LSTM Model
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摘要 绞车滚筒作为钻机的重要组成部分,在运行中应保持良好的性能稳定性,对其进行可靠性分析十分必要。为此,采用哈默斯雷采样方法,对传统7000 m绞车滚筒的设计变量在Isight平台通过SolidWorks、ANSYS、MATLAB联合进行灵敏度分析,利用蒙特卡洛模拟法对输入变量进行抽样,搭建IWOA-双向LSTM模型对绞车滚筒可靠性进行预测。研究结果表明:IWOA-双向LSTM可靠性预测模型预测精度远远超过了传统的可靠性预测模型,其结合蒙特卡洛模拟法可对绞车滚筒的关键参数如耐久应力和疲劳寿命等进行估计,以此得到绞车滚筒理论的工作应力区间及其使用寿命,从而为绞车滚筒的运维及安全稳定运行提供有力保障。研究结论可为钻采设备的可靠性分析提供一种新方案。 As an important part of rig,the drawworks drum should maintain a good and stable performance during operation,so it is necessary to analyze its reliability.With the help of the Hammersley sampling method,the SolidWorks,ANSYS and MATLAB were used to conduct sensitivity analysis on the design variables of the conven-tional 7000 m drawworks drum on the Isight platform.Then,the Monte Carlo simulation method was used to draw samples from the input variables to build an IWOA-bidirectional LSTM model and predict the reliability of the draw-works drum.The research results show that the IWOA-bidirectional LSTM reliability prediction model has a much higher prediction accuracy than conventional reliability prediction model;by means of combination with Monte Carlo simulation method,it can estimate key parameters of the drawworks drum,such as endurance stress and fa-tigue life,thus obtaining the theoretical working stress range and service life of the drawworks drum and providing strong guarantees for the safe and stable operation and maintenance of the drawworks drum.The research results provide a new approach for the reliability analysis of drilling and production equipment.
作者 代富裕 胡启国 何奇 陈思祥 徐向阳 Dai Fuyu;Hu Qiguo;He Qi;Chen Sixiang;Xu Xiangyang(School of Mechatronics and Vehicle Engineering,Chongqing Jiaotong University;CNPC Baoji Oilfield Machinery Co.,Ltd.)
出处 《石油机械》 北大核心 2024年第3期32-39,共8页 China Petroleum Machinery
基金 国家油气钻井装备工程技术研究中心开放基金资助项目“基于响应面法-改进人工蜂群算法的绞车滚筒多目标优化设计”(BOMCO-J118-JKY002-2021)。
关键词 绞车滚筒 IWOA-双向LSTM模型 可靠性 灵敏度分析 耐久应力 疲劳寿命 drawworks drum IWOA-bidirectional LSTM model reliability sensitivity analysis endurance stress fatigue life
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