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Dimension Analysis-Based Model for Prediction of Shale Compressive Strength

文献类型：期刊论文

作者Fan, Xiangyu1; Xu, Fenglin1,2; Chen, Lin3; Chen, Qiao1,2; Liu, Zhiwei1; Yao, Guanghua4; Nie, Wen1
刊名ADVANCES IN MATERIALS SCIENCE AND ENGINEERING
出版日期2016
页码12
ISSN号1687-8434
DOI10.1155/2016/7948612
通讯作者Nie, W (reprint author), Southwest Petr Univ, Sch Petr & Nat Gas Engn, Chengdu 610500, Peoples R China.
英文摘要The compressive strength of shale is a comprehensive index for evaluating the shale strength, which is linked to shale well borehole stability. Based on correlation analysis between factors (confining stress, height/diameter ratio, bedding angle, and porosity) and shale compressive strength (Longmaxi Shale in Sichuan Basin, China), we develop a dimension analysis-based model for prediction of shale compressive strength. A nonlinear-regression model is used for comparison. A multitraining method is used to achieve reliability of model prediction. The results show that, compared to a multi-nonlinear-regression model (average prediction error = 19.5%), the average prediction error of the dimension analysis-based model is 19.2%. More importantly, our dimension analysis-based model needs to determine only one parameter, whereas the multi-nonlinear-regression model needs to determine five. In addition, sensitivity analysis shows that height/diameter ratio has greater sensitivity to compressive strength than other factors.
资助项目Open Fund of the State Key Laboratory of the Oil and Gas Reservoir Geology and Exploitation[PLN1502] ; Chongqing Land Bureau Science and Technology Planning Project[CQGT-KJ-2014017] ; National Natural Science Foundation of China[51474185] ; National Key Basic Research Program of China (973 Program) ; Shale Gas Horizontal Well Drilling and Completion Key Basic Research[2013CB228003] ; Southwest Petroleum University
WOS研究方向Materials Science
语种英语
WOS记录号WOS:000378750700001
出版者HINDAWI PUBLISHING CORP
源URL[http://119.78.100.138/handle/2HOD01W0/2622]  
专题生态过程与重建研究中心
通讯作者Nie, Wen
作者单位1.Southwest Petr Univ, Sch Petr & Nat Gas Engn, Chengdu 610500, Peoples R China
2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
3.Southwest Petr Univ, Sch Sci, Chengdu 610500, Peoples R China
4.Chongqing Mineral Resources Dev Co Ltd, Chongqing 40042, Peoples R China
推荐引用方式
GB/T 7714		 Fan, Xiangyu,Xu, Fenglin,Chen, Lin,et al. Dimension Analysis-Based Model for Prediction of Shale Compressive Strength[J]. ADVANCES IN MATERIALS SCIENCE AND ENGINEERING,2016:12.
APA Fan, Xiangyu.,Xu, Fenglin.,Chen, Lin.,Chen, Qiao.,Liu, Zhiwei.,...&Nie, Wen.(2016).Dimension Analysis-Based Model for Prediction of Shale Compressive Strength.ADVANCES IN MATERIALS SCIENCE AND ENGINEERING,12.
MLA Fan, Xiangyu,et al."Dimension Analysis-Based Model for Prediction of Shale Compressive Strength".ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2016):12.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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