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基于大数据挖掘技术的页岩气井压裂液产出规律分析
Analysis of Output Law of Fracturing Fluid in Shale Gas Well Based on Big Data Mining Technology
【摘要】 为了准确分析页岩气井压裂液产出规律,通过大数据的筛选和分析对影响页岩气井生产的26个因素进行得分排序,得出影响页岩气气井压裂液产出率的主控因素为地质储量、平均单段砂量、孔隙度、A靶点和B靶点深度。通过主成分分析和多元线性回归建立气井压裂液产出规律预测数学模型,计算表明,压裂液产出率的预测值与实际生产数据相比,预测精确度在90%。
【Abstract】 In order to accurately analyze the law of fracturing fluid production in shale gas wells,this paper sorts and ranks 26 factors affecting shale gas well production through big data screening and analysis,and obtains the main factors affecting the fracturing fluid yield of shale gas wells. The controlling factors are geological reserves,average single-stage sand volume,porosity,A target point and B target point depth. Through the principal component analysis and multiple linear regression,the mathematical model for predicting the production law of gas well fracturing fluid is established. The calculation shows that the predicted value of fracturing fluid yield is 90% compared with the actual production data.
【Key words】 shale gas well; fracturing fluid yield; big data mining; principal component analysis; multiple linear regression;
- 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2019年25期
- 【分类号】TE377;TP311.13
- 【被引频次】4
- 【下载频次】445