Machine Learning in Geosciences - Advances in Geophysics
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Published By Elsevier

9780128216699
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Deep generator priors for Bayesian seismic inversion

2020 ◽  
pp. 179-216 ◽  
Author(s):  
Zhilong Fang ◽  
Hongjian Fang ◽  
Laurent Demanet
Keyword(s):  
Seismic Inversion ◽  
Bayesian Seismic Inversion

scholarly journals Seismic signal augmentation to improve generalization of deep neural networks

2020 ◽  
pp. 151-177 ◽  
Author(s):  
Weiqiang Zhu ◽  
S. Mostafa Mousavi ◽  
Gregory C. Beroza
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Seismic Signal

Preface

2020 ◽  
pp. ix-x
Author(s):  
Ben Moseley ◽  
Lion Krischer ◽  
Cedric Schmelzbach

scholarly journals Machine learning and fault rupture: A review

2020 ◽  
pp. 57-107 ◽  
Author(s):  
Christopher X. Ren ◽  
Claudia Hulbert ◽  
Paul A. Johnson ◽  
Bertrand Rouet-Leduc
Keyword(s):  
Machine Learning ◽  
Fault Rupture

Machine learning techniques for fractured media

2020 ◽  
pp. 109-150 ◽  
Author(s):  
Shriram Srinivasan ◽  
Jeffrey D. Hyman ◽  
Daniel O'Malley ◽  
Satish Karra ◽  
Hari S. Viswanathan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Fractured Media ◽  
Machine Learning Techniques ◽  
Learning Techniques

scholarly journals An introduction to the two-scale homogenization method for seismology

2020 ◽  
pp. 217-306 ◽  
Author(s):  
Yann Capdeville ◽  
Paul Cupillard ◽  
Sneha Singh
Keyword(s):  
Homogenization Method

scholarly journals 70 years of machine learning in geoscience in review

2020 ◽  
pp. 1-55 ◽  
Author(s):  
Jesper Sören Dramsch
Keyword(s):  
Machine Learning
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