Data Science and Machine Learning SIG: Solving Seismic Inverse Problems by an Unsupervised Hybrid ... - Feb 17th

Complete Title: Solving Seismic Inverse Problems by an Unsupervised Hybrid Machine Learning Approach

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Speaker: Mrinal K. Sen, Jackson Chair in Applied Seismology, University of Texas at Austin 
Co-Author: Arnab Dhara, University of Texas at Austin

Seismic inversion is generally carried out by iterative data fitting in which the model updates are evaluated by solving the corresponding physics-based forward modeling. Local optimization methods are commonly used for finding an optimal model. Care must be taken to account for the ill posedness of the problem by imposing proper constraints. Choice of the optimization method is also non-trivial; it depends on the accuracy and computational speed. During the last decade, we have witnessed a resurgence of data-driven methods called machine learning, which are generally agnostic to the physics of the underlying problem. Here, we discuss several hybrid data-driven and model-driven methods that can take advantage of the salient features of the two apparently different classes of methods for parameter estimation. We discuss how the unsupervised and reinforcement learning based deep neural network can be augmented with the knowledge of the physics of the problems. Our applications to seismic inversion including AVO, tomography and full waveform inversion are quite encouraging and therefore, motivate us to investigate these approaches further.

Speaker Biography: Mrinal K. Sen, Jackson Chair in Applied Seismology, University of Texas at Austin
Mrinal K. Sen is a professor of Geophysics and holder of Jackson Chair in Applied Seismology at the Department of Geological Sciences and  Institute for Geophysics at the University of Texas at Austin. During 2013 and 2014, Mrinal served as the director of the National Geophysical Research Institute, Hyderabad, India. He received his integrated M.Sc degree from ISM Dhanbad and PhD from the University of Hawaii at Manoa, USA, in 1987, Mrinal is known internationally for his work on theoretical and computational seismology, and geophysical inversion. He has published over 200 peer reviewed journal papers and two books on Geophysical Inversion. He has received many awards including the Honorary membership of the Society of Exploration Geophysicists “for extraordinary contributions as a geophysicist, educator and author” , the ‘Joseph C. Walter award for research excellence’, the ‘distinguished educator award’ at the University of Texas, Decentennial Gold Medal of the Indian Geophysical Union, the Hari Narayan Award of the Geological Society of India, and the distinguished alumnus award from ISM and the University of Hawaii at Manoa. He is the recipient of 2018 Virgil Kauffman gold medal of the Society of Exploration Geophysicists for making significant advancement in the sciences of exploration geophysics in the last five years  

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2/17/2023 12:00 PM - 1:00 PM
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