Speaker:
Each year the MIT Earth Resources Laboratory invites employees of our Founding Member companies to the MIT campus for presentations about our latest research and networking opportunities. This year’s meeting will take place 5/23-5/24 and the theme will be New Subsurface Technologies, Inference, and Machine Learning Methods. Invitations were sent to our alumni and employees of our Founding Member companies in April-- if you didn't receive yours, please contact erl-info@mit.edu.
In addition to talks by ERL students, postdocs, and research scietists, this year's meeting will feature special talks by two of MIT's leading AI researchers: Prof. Tomaso Poggio, director or the MIT Center for Brains, Minds, and Machines, and Prof. Youssef Marzouk, co-director of the MIT Center for Computational Science and Engineering.
The technical talks will take place in building 66, room 110. The cruise will leave from the MIT sailing pavilion. The members' lunch will take place in building 54, room 209.
Agenda (subject to change):
Tuesday, May 23 | 66-110 | 9:00 | 9:20 | Laurent Demanet | Welcome | |
9:20 | 9:40 | Induced Seimicity, CO2 Storage | Lluís Saló-Salgado | Evaluation of Fault Zone CO2 Migration Hazard in Geologic Carbon Sequestration | ||
9:40 | 10:00 | Hilary Chang | Ambient noise subsurface structure imaging for investigating site effects of induced earthquakes | |||
10:00 | 10:20 | Yury Akhimenkov | Modeling of induced seismicity using High-Performance Computing |
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10:20 | 10:50 | Break | ||||
10:50 | 11:10 | Rock Physics, Geomechanics | Eve Meltzer | A Micro-Mechanical Analysis of Vitrified Rock for use in Enhanced Geothermal Energy |
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11:10 | 11:30 | Majed Almubarak | Effects of Experimental Conditions on Fracture Research Using 3D Printed Materials | |||
11:30 | 11:50 | Tiange Xing | Characterizing Transient Brittle Creep by Ultrasonic Pulsing |
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11:50 | 1:30 | Lunch | ||||
1:30 | 2:20 | Plenary Session: Deep Learning | Tomaso Poggio | Why do some neural networks work as well as they do? | ||
2:20 | 2:40 | Scientific Machine Learning | Laurent Demanet | Generative AI and geophysics | ||
2:40 | 3:00 | Matt Li | SymAE for Redatuming Nuisance Variations in Real World Datasets |
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3:00 | 3:20 | Borjan Geshkovski | Understanding redatuming with symmetric autoencoders using matrix completion | |||
3:20 | 3:50 | Break | ||||
3:50 | 4:10 | Scientific machine learning, CO2 storage | Brindha Kanniah | Symmetric autoencoders for deepwater static correction. | ||
4:10 | 4:30 | Hannah Lu | Uncertainty Quantification of CO2 Leakage and Risk Analysis of Induced Seismicity for Large-scale Geological CO2 Sequestration | |||
MIT Sailing Pavilion | 6:00 | 9:00 | River/Harbor Dinner Cruise | |||
Wednesday, May 24 | 66-110 | 9:30 | 10:20 | Plenary Session: Uncertainty Quantification | Youssef Marzouk | Solving Bayesian inverse problems with transport: structured and amortized inference |
10:20 | 10:40 | Geothermal, Field Data | Ben Holtzman | Towards *deep* crustal heat mining: Potentials and (thermo-mechanical) problems |
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10:40 | 11:00 | Malcolm White | Seismotectonics and energy production in the Salton Sea Geothermal Field |
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11:00 | 11:20 | Aime Fournier | Study of covariance across Volve field data | |||
54-209 | 12:00 | 2:00 | ERL Members Lunch |