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Machine Learning Applications in Subsurface Energy Resource Management
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Authors: Srikanta Mishra
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Type: BOOK - Published: 2022-12-27 - Publisher: CRC Press

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The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition
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Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic re
Advances in Subsurface Data Analytics
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Authors: Shuvajit Bhattacharya
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Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) a
Applied Statistical Modeling and Data Analytics
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Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern
Machine Learning for Subsurface Characterization
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Authors: Siddharth Misra
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Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks