Machine Learning for Subsurface Characterization
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 20)

H-INDEX

(FIVE YEARS 1)

Published By Elsevier

9780128177365

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.00012-0 ◽

2020 ◽

pp. 339-368

Author(s):

Siddharth Misra ◽

Pratiksha Tathed ◽

Yifu Han

Keyword(s):

Water Saturation ◽

Marquardt Algorithm ◽

Levenberg Marquardt

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Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.00010-7 ◽

2020 ◽

pp. 289-314 ◽

Cited By ~ 1

Author(s):

Siddharth Misra ◽

Yaokun Wu

Keyword(s):

Electron Microscopy ◽

Machine Learning ◽

Scanning Electron Microscopy ◽

Feature Extraction ◽

Feature Ranking ◽

Microscopy Images ◽

Scanning Electron

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Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.00002-8 ◽

2020 ◽

pp. 157-181

Author(s):

Hao Li ◽

Siddharth Misra

Keyword(s):

Dimensionality Reduction ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Light Hydrocarbon ◽

Index Construction ◽

Shale Formations ◽

Clustering Techniques ◽

Flow Units

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Preface

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.09987-7 ◽

2020 ◽

pp. xix-xxvi ◽

Cited By ~ 1

Author(s):

Siddharth Misra

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Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.00008-9 ◽

2020 ◽

pp. 219-241

Author(s):

Siddharth Misra ◽

Hao Li

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Models ◽

In Situ Nmr ◽

Machine Learning Models

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Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.00013-2 ◽

2020 ◽

pp. 369-402

Author(s):

Siddharth Misra ◽

Yifu Han

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Water Saturation ◽

Stochastic Inversion

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Copyright

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.09995-6 ◽

2020 ◽

pp. iv

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Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.00004-1 ◽

2020 ◽

pp. 103-127 ◽

Cited By ~ 1

Author(s):

Siddharth Misra ◽

Jiabo He

Keyword(s):

Neural Network ◽

Network Architecture ◽

Neural Network Architecture ◽

Shale Formations

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Contributors

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.09992-0 ◽

2020 ◽

pp. xvii

Author(s):

Pritesh Bhoumick ◽

Aditya Chakravarty ◽

Eliza Ganguly ◽

Yifu Han ◽

Jiabo He ◽

...

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Dedication

Machine Learning for Subsurface Characterization ◽

10.1016/b978-0-12-817736-5.09988-9 ◽

2020 ◽

pp. v

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Machine Learning for Subsurface CharacterizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm

Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking

Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection

Preface

Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions

Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs

Copyright

Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations

Contributors

Dedication

Machine Learning for Subsurface Characterization
Latest Publications