Applied machine learning-based models for predicting the geomechanical parameters using logging data
Abstract Geomechanical (GM) parameters play a significant role in geomechanical studies. The calculation of GM parameters by analyzing finite rock samples is very limited. The GM parameters show a nonlinear trend; thus, applying empirical relationships is unreliable to predict their quantities. Mach...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-08-01
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Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13202-023-01687-2 |