Estimation of in-situ maximum horizontal principal stress magnitudes from borehole breakout data using machine learning (English)
- New search for: Lin, H.
- New search for: Kang, W.-H.
- New search for: Oh, J.
- New search for: Canbulat, I.
- New search for: Lin, H.
- New search for: Kang, W.-H.
- New search for: Oh, J.
- New search for: Canbulat, I.
In:
International Journal of Rock Mechanics and Minings Sciences
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126
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2019
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Estimation of in-situ maximum horizontal principal stress magnitudes from borehole breakout data using machine learning
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Contributors:
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Published in:
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2019-12-27
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 126
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Strain energy evolution and conversion under triaxial unloading confining pressure tests due to gob-side entry retainedZhang, Zizheng / Deng, Min / Bai, Jianbiao / Yu, Xianyang / Wu, Qiuhong / Jiang, Lishuai et al. | 2019
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Dynamic tensile behavior of rocks under static pre-tension using the flattened Brazilian disc methodPei, Pengda / Dai, Feng / Liu, Yi / Wei, Mingdong et al. | 2019
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Estimation of in-situ maximum horizontal principal stress magnitudes from borehole breakout data using machine learningLin, H. / Kang, W.-H. / Oh, J. / Canbulat, I. et al. | 2019
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