考虑岩屑影响的智能实时卡钻风险预测  

Intelligent real time stuck pipe risk prediction considering the effect of cuttings

作　　者：刘景峰 袁旭 龙远 朱朋震 张菲菲 LIU Jingfeng;YUAN Xu;LONG Yuan;ZHU Pengzhen;ZHANG Feifei(School of Petroleum Engineering,Yangtze University,Wuhan 430100,China;National Engineering Research Center for Oil&Gas Drilling and Completion Technology,Wuhan 430100,China;Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering(Yangtze University),Wuhan 430100,China;Hainan Branch,China National Offshore Oil Corporation,Haikou 570100,China;SINOPEC Northwest Oilfield Company,Urumqi 830011,China)

机构地区：[1]长江大学石油工程学院,武汉430100 [2]油气钻完井技术国家工程研究中心,武汉430100 [3]油气钻采工程湖北省重点实验室(长江大学),武汉430100 [4]中海石油(中国)有限公司海南分公司,海口570100 [5]中国石化西北油田分公司,乌鲁木齐830011

出　　处：《中国科技论文》2023年第9期1007-1014,共8页China Sciencepaper

基　　金：湖北省自然科学基金资助项目(2019CFA093)。

摘　　要：为了保证钻井作业安全、提高经济效益,研究钻柱在岩屑影响下的摩阻扭矩并及时准确地预测卡钻事故的发生具有重要意义。提出了一种考虑岩屑影响的卡钻预测方法,将摩阻扭矩分段计算模型与基于群体训练(population based training,PBT)优化算法耦合,利用训练得到最优摩阻系数,开展模型计算预测值与现场监测数据的对比,并计算卡钻风险预测系数,实现钻进过程中卡钻风险的实时预测。利用该方法开展现场试验,发现钻井遇卡前的卡钻风险预测系数大幅增大,有效预测了卡钻事故的发生。分析结果表明:岩屑堆积使钻柱的摩阻值增大,同时钻柱摩阻值随井眼曲率、钻柱刚度、摩阻系数的增加而增加。In order to ensure the safety of drilling operations and increase economic benefits,study on the torque and drag model considering the effects of cuttings deposition on the drill string and timely and accurate prediction of the stuck pipe risks are of great importance.In the present work,a new stuck pipe prediction method considering the effects of cuttings deposition was proposed,in which the segmental calculation model for torque and drag and population based training(PBT)optimized algorithm were combined.The optimal friction coefficient is obtained by training.The predicted value calculated by the model was compared with the field data and the stuck pipe risk was calculated to achieve the real time stuck pipe prediction during drilling.The method is applied to field examples.It is found that the stuck pipe risk increases rapidly before stuck pipe,which effectively predicts the occurrence of stuck pipe.The analysis results show that cuttings deposition increases the drag and the drag increases with the well curvature,the drill string stiffness or the friction coefficient.

关 键 词：卡钻 风险预测 井眼清洁 摩阻扭矩 PBT优化算法 

分 类 号：TE242[石油与天然气工程—油气井工程]