Machine Learning and Artificial Intelligence in Geosciences

Ben Moseley works at the Department of Computer Science at the University of Oxford and is currently researching the use of machine learning for seismic simulation and inversion, as well as machine learning for space science. Previously he was a geophysicist in the hydrocarbon industry, with experience in seismic processing, imaging and exploration Lion Krischer works at the Department of Earth Sciences at the ETH Zurich in Switzerland. His works sits at the crossroads where seismology meets computational science, Big Data engineering, and machine learning.

• 1. Preface2. 70 years of machine learning in geoscience in reviewJesper Sören Dramsch3. Machine learning and fault rupture: A reviewChristopher X. Ren, Claudia Hulbert, Paul A. Johnson and Bertrand Rouet-Leduc4. Machine learning techniques for fractured mediaShriram Srinivasan5. Seismic signal augmentation to improve generalization of deep neural networksWeiqiang Zhu , S. Mostafa Mousavi and Gregory C. Beroza6. Deep generator priors for Bayesian seismic inversionZhilong Fang, Hongjian Fang and L. Demanet7. An introduction to the two-scale homogenization method for seismologyYann Capdeville, Paul Cupillard and Sneha Singh