Prediction of physico-mechanical properties of intact rocks using artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-021-00653-y.pdf
Reference91 articles.
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3. Al-AbdulJabbar A, Elkatatny S, Mahmoud M, Abdelgawad K, Al-Majed A (2019) A robust rate of penetration model for carbonate formation. J Energy Resour Technol 141(4):042903. https://doi.org/10.1115/1.4041840
4. Aladejare AE (2016) Development of Bayesian probabilistic approaches for rock property characterization (PhD Thesis). Hong Kong, China: City University of Hong Kong
5. Aladejare AE (2020) Evaluation of empirical estimation of uniaxial compressive strength of rock using measurements from index and physical tests. J Rock Mech Geotech Eng 12(2):256–268. https://doi.org/10.1016/j.jrmge.2019.08.001
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