基于大数据PLS法的页岩气产能影响因素分析——以四川盆地涪陵气田焦石坝区块为例

至2018年底,四川盆地涪陵页岩气田已经建成超百亿方产能,累计生产页岩气超200×10~8m^3,成为了国内首个实现商业效益开发的页岩气田。以室内实验为基础,与现场生产相结合,对影响涪陵气田页岩气水平井产能的主要因素开展研究,得到各影响因素与页岩气产能之间的关系。研究表明,焦石坝区块不同开发分区页岩气井的影响因素不同,采用偏最小二乘法(PLS)模块大数据分析方法,计算特征变量的投影重要性(VIP值),确定产能影响因素与分区产能影响因素综合评价结果一致,证实了焦石坝一期产建区不同分区页岩气井产能的主要影响因素存在差异。研究成果对中国南方海相页岩气初期产能影响因素的研究具有一定的指导和借鉴意义。

Analysis of influencing factors of shale gas productivity based on large data technology:A case of Jiaoshiba block in Fuling Gas Field,Sichuan Basin

By the end of 2018,the Fuling shale gas field of Sichuan Basin had built more than 10 billion cubic meters of capacity and accumulated over 20 billion shale gas productions.It has become the first shale gas field in China to realize commercial development.Based on laboratory experiments,combined with field yield,a research is conducted on the main factors which affect the productivity of shale gas horizontal wells in Fuling shale gas field.The relationship between various factors and shale gas productivity is obtained.The results show that the influencing factors of shale gas wells in different development zones of Jiaoshiba block are different.The production effect factor which determined by variable importance in projection(VIP value)that calculated by partial-least-square(PLS)module large data analysis method,was consistent with the comprehensive evaluation result in zone production influence factor.It confirmed that the main influencing factors in different zone shale gas well production in Jiaoshiba first stage are different.The research results of this article have a certain guidance and reference significance for the study of the initial productivity affecting factor of marine shale gas in southern China.