MIT ERL Annual Founding Members Meeting 2019: Machine Learning and Inference for Geophysics

May 21, 2019 (All day) to May 23, 2019 (All day)

Speaker: 

ERL Researchers

Each year ERL invites representatives of our Founding Member companies, along with friends in industry and academia, to join us for two days of presentations on our latest research, an introduction to our students and postdoctoral researechers, and networking events including a Charles River dinner cruise. This year's Annual Founding Members Meeting will take place May 21 - May 23, 2019. Invitations have been sent via e-mail to our Founding Members, alumni, as well as friends in industry and academia. If you did not receive yours, please get in touch ASAP at erl-info@mit.edu. If you will be in town for Prof. Toksoz' birthday celebration and would like to also this event, just let us know.

MIT Earth Resources Laboratory Annual Founding Members Meeting 2019: Machine Learning and Inference for Geophysics

Printable Agenda: (pdf)

Date Start End Session   Title Location
Tuesday, May 21, 2019 16:00 18:00 Welcome Reception     54-209
Wednesday, May 22, 2019 9:00 9:10 Introductions Laurent Demanet Welcome and Introduction 66-110
9:10 9:30 Antonio Torralba The MIT Quest for Intelligence
9:30 9:50 Youssef Marzouk The MIT Schwarzman College of Computing
9:50 10:10 Break    
10:10 10:30 Seismology and Machine Learning Manuel Florez Torres A Deep Learning Architecture for Intermediate-Depth Earthquake Detection and Phase Segmentation
10:30 10:50 Andrea Scarinci Robust Bayesian Seismic Inversion
10:50 11:10 Chen Gu Deep learning applied to induced seismicity in the Groningen gas field in the Netherlands -- What do we need for safe AI?
11:10 11:25 Student and Postdoc Introductions    
11:25 13:00 Box Lunch    
13:00 13:30 Plenary Session Nori Nakata Towards high-resolution seismic imaging and monitoring using ambient noise, machine learning, and microseismic events
13:30 13:50 Break    
13:50 14:10 Geophysics and Machine Learning Matt Li Machine learning for elimination of nuisance parameters in geophysics
14:10 14:30 Charles-Henri Clerget Seismo-electric measurement for drilling look-ahead
14:30 14:50 Meghana Ranganathan Understanding ice flow through computational methods
14:50 15:10 Justin Montgomery Understanding shale gas and tight oil productivity with machine learning
15:10 15:40 Break    
15:40 16:00 Fluids in Rocks Bauyrzhan Primkulov Signatures of fluid-fluid displacement in porous media
16:00 16:20 Yue Meng DEM modeling of coupled multiphase flow and granular mechanics: Wettability control on fracture patterns
16:20 16:40 Wei Li Pressure behavior during wormhole formation in soluble porous rock
18:00 21:00 Dinner Cruise     Depart from MIT Boathouse
Thursday, May 23, 2019 9:00 9:20 Full Waveform Inversion Hongyu Sun Extrapolated full waveform inversion with deep learning 66-110
9:20 9:40 Zhilong Fang Seimic inversion in the framework of modern optimization
9:40 10:00 Pawan  Bharadwaj Redshift of An Earthquake
10:00 10:30 Break    
10:30 10:50 Rock Physics and Geomechanics Bing Li & Omar AlDajani  Hydraulic Fracturing of Opalinus Shale: Insights from the Laboratory
10:50 11:10 Chunfang Meng Elastic perturbations around interactive Eshelby's inclusions in whole, half and finite spaces
11:10 11:30 Ekaterina Bolotskaya Finite Element Modeling of Planar Fault Slip: Fracturing vs. Friction
11:30 11:40 Concluding Remarks Michael Fehler  
12:00 13:50 Business Lunch     54-209
14:00 14:45 Special Plenary Session Jie Zhang PhD '96 Applying search engine, compressive sensing, and machine learning for earthquake monitoring 54-915