基于支持向量机的钻井工况实时智能识别方法  

Real-Time Intelligent Identification Method under Drilling Conditions Based on Support Vector Machine

作　　者：孙挺[1] 赵颖[1] 杨进[1] 殷启帅 汪文星 陈缘 SUN Ting;ZHAO Ying;YANG Jin;YIN Qishuai;WANG Wenxing;CHEN Yuan(College of Safe and Off-Shore Engineering,China University of Petroleum (Beijing),Beijing,102249,China)

机构地区：[1]中国石油大学(北京)安全与海洋工程学院

出　　处：《石油钻探技术》2019年第5期28-33,共6页Petroleum Drilling Techniques

基　　金：国家重点基础研究发展计划(“973”计划)项目“海洋深水油气安全高效钻完井基础研究”(编号:2015CB251202);中国石油大学(北京)引进人才科研启动基金“页岩气藏单井最终可采储量计算”(编号:2462017YJRC034)联合资助

摘　　要：钻井时效分析通常是依靠人工进行事后分析,具有主观性和随意性,不能及时准确地反映真实的现场情况。为了实时准确地对钻井工况进行自动判别,提高钻井效率,提出了一种基于支持向量机(SVM)的用数据驱动的钻井工况实时识别方法,建立了多个智能识别模型,并对其中的核函数进行分析比较,得出了模型参数的最优值。采用4口井的录井数据验证了模型的准确性,识别结果与实际工况基本一致,6种工况的识别正确率均达到95%以上。钻井时效分析与应用表明,钻井过程中应用工况识别结果,减少了不可见非生产时间。支持向量机实现了钻井工况的实时智能识别,提高了钻井时效,符合油田数字化和智能化发展的要求。At present,the analysis of drilling time-efficiency usually relies on manual post-analysis,which is subjective and arbitrary,and not able to reflect the real field situation in time,with a lot of deviation.In order to identify drilling conditions automatically and accurately in real time and improve drilling efficiency,a data-driven real-time identification method of drilling conditions based on support vector machine (SVM) has been put forward,and established several intelligent identification models.By analyzing and comparing the kernel functions in the models, the optimal model parameters were obtained.Logging data from four wells were used to verify the correctness of the model,and the recognition results were basically consistent with the actual working conditions,and the recognition accuracy under six working conditions was higher than 95%.The analysis of drilling time-efficiency showed that the application of working condition identification result in drilling process shortened the invisible non-production time. Support vector machine has realized real-time intelligent identification of drilling conditions,and improved drilling time-efficiency,which could meet the requirements of digital and intelligent development of oilfields.

关 键 词：工况识别 支持向量机 数据驱动 时效分析 

分 类 号：TE28[石油与天然气工程—油气井工程]