机电工程技术2025，Vol.54Issue(16)：50-55,6.DOI:10.3969/j.issn.1009-9492.2025.16.009
基于Wiener过程水下连接器性能退化模型
Performance Degradation Model of Underwater Connectors Based on Wiener Process
摘要
Abstract
In the field of oil and gas extraction,connector is key component,and its sealing performance directly affects the safety and stability of the entire system.The complex chemical components in the oil and gas environment can cause corrosion to the connector,seriously affecting its sealing performance.To accurately grasp the corrosion status of the connector,the modified De.Waard95 model is adopted to predict the corrosion rate of the connector.This model fully considers the impact of corrosive components in oil and gas on the connector and accurately reflects the corrosion degree of the connector at different time points.Meanwhile,the contact stress value of the sealing parts is used as the key indicator to measure the sealing performance of the connector.The finite element analysis of the corroded connector is conducted using the Abaqus software to simulate the force conditions of the connector under actual working conditions,thereby achieving an accurate evaluation of the sealing performance of the connector at different times.Additionally,considering the multi-stage characteristics of the performance degradation of the connector,the Wiener process is used to construct the degradation model of the sealing performance of the connector in the corrosive environment.Taking a certain type of 16 in subsea production tree wellhead connector as an example,the performance degradation model established by the proposed method is found to be highly consistent with the actual degradation situation and can more accurately depict the multi-stage degradation process of the connector,providing strong support for ensuring the reliable operation of the connector.关键词
连接器/Wiener模型/腐蚀速率/退化过程/退化模型Key words
connector/Wiener model/corrosion rate/deterioration process/deterioration model分类
能源科技引用本文复制引用
薛羽馨,加东东,贾亮升,袁向东..基于Wiener过程水下连接器性能退化模型[J].机电工程技术,2025,54(16):50-55,6.基金项目
陕西省教育厅科研项目自然科学专项(23JK0727) （23JK0727）
