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	Dimension Analysis-Based Model for Prediction of Shale Compressive Strength
	Fan, Xiangyu1; Xu, Fenglin1,2; Chen, Lin3; Chen, Qiao1,2; Liu, Zhiwei1; Yao, Guanghua4; Nie, Wen1
	2016
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.
DOI	10.1155/2016/7948612
发表期刊	ADVANCES IN MATERIALS SCIENCE AND ENGINEERING
ISSN	1687-8434
页码	12
通讯作者	Nie, W (reprint author), Southwest Petr Univ, Sch Petr & Nat Gas Engn, Chengdu 610500, Peoples R China.
收录类别	SCI
WOS记录号	WOS:000378750700001
语种	英语