AI/machine learning

This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness.
This paper introduces a machine-learning approach that integrates well-logging data to enhance depth selection, thereby increasing the likelihood of obtaining accurate and valuable formation-pressure results.
This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.

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