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Dimension Analysis-Based Model for Prediction of Shale Compressive Strength
Joint Authors
Nie, W.
Fan, Xiangyu
Xu, Fenglin
Chen, Lin
Chen, Qiao
Liu, Zhiwei
Yao, Guanghua
Source
Advances in Materials Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-14
Country of Publication
Egypt
No. of Pages
12
Abstract EN
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.
American Psychological Association (APA)
Fan, Xiangyu& Xu, Fenglin& Chen, Lin& Chen, Qiao& Liu, Zhiwei& Yao, Guanghua…[et al.]. 2016. Dimension Analysis-Based Model for Prediction of Shale Compressive Strength. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1096415
Modern Language Association (MLA)
Fan, Xiangyu…[et al.]. Dimension Analysis-Based Model for Prediction of Shale Compressive Strength. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1096415
American Medical Association (AMA)
Fan, Xiangyu& Xu, Fenglin& Chen, Lin& Chen, Qiao& Liu, Zhiwei& Yao, Guanghua…[et al.]. Dimension Analysis-Based Model for Prediction of Shale Compressive Strength. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1096415
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096415