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Thursday, September 12, 2024

8:50 AM - 9:00 AM
Welcome Speech on behalf of EAGE
9:00 AM - 9:30 AM Keynote Speaker - Tariq Alkalifah
Tutorials- State of the Art in ML-FWI
9:30 AM - 10:00 AM Keynote Speaker - Kris Innanen -Session I- Method development 1: Formulations
Towards a comprehensive, seismic waveform inversion based framework for 4D monitoring, and the role of AI in implementing it
10:00 AM - 10:20 AM Keynote Speaker - Mrinal K Sen (University of Texas)- Session I- Method development 1: Formulations
Physics-based machine learning for FWI and uncertainty quantification
10:20 AM - 10:40 AM
Coffee Break a.m
10:40 AM - 11:40 AM Session I- Method development 1: Formulations
Technical Presentations
11:40 AM - 12:00 PM
Open Panel Discussion
12:00 PM - 1:00 PM
Lunch Break
1:00 PM - 1:30 PM Keynote SpeakerI- Tianze Zhang- University of Calgary -Session II- Method development 1: Formulations
Towards solving for optimal physics and optimal parameters in ML-FWI
1:30 PM - 2:10 PM Session II- Method development 1: Formulations
Technical Presentations
2:10 PM - 2:30 PM
Open Pannel Discussion
2:30 PM - 3:00 PM Keynote Speaker- Felix Herrmann- Session III- Method development 2: Uncertainty Quantification
Neural wave-based imaging with amortized uncertainty quantification
3:00 PM - 3:20 PM Keynote Speaker - Laurent Demanet - MIT -Session III- Method development 2: Uncertainty Quantification
ML for intelligent regularization
3:20 PM - 3:40 PM Session III- Method development 2: Uncertainty Quantification
Technical Presentation
3:40 PM - 4:00 PM
Open panel discussion
4:00 PM - 4:10 PM
Wrap up
4:10 PM - 5:10 PM
Ice Breaker Reception
8:50 AM - 9:00 AM
Welcome Speech on behalf of EAGE
9:00 AM - 9:30 AM Keynote Speaker - Tariq Alkalifah
Tutorials- State of the Art in ML-FWI
9:30 AM - 10:00 AM Keynote Speaker - Kris Innanen -Session I- Method development 1: Formulations
Towards a comprehensive, seismic waveform inversion based framework for 4D monitoring, and the role of AI in implementing it
10:00 AM - 10:20 AM Keynote Speaker - Mrinal K Sen (University of Texas)- Session I- Method development 1: Formulations
Physics-based machine learning for FWI and uncertainty quantification
10:20 AM - 10:40 AM
Coffee Break a.m
10:40 AM - 11:40 AM Session I- Method development 1: Formulations
Technical Presentations
11:40 AM - 12:00 PM
Open Panel Discussion
12:00 PM - 1:00 PM
Lunch Break
1:00 PM - 1:30 PM Keynote SpeakerI- Tianze Zhang- University of Calgary -Session II- Method development 1: Formulations
Towards solving for optimal physics and optimal parameters in ML-FWI
1:30 PM - 2:10 PM Session II- Method development 1: Formulations
Technical Presentations
2:10 PM - 2:30 PM
Open Pannel Discussion
2:30 PM - 3:00 PM Keynote Speaker- Felix Herrmann- Session III- Method development 2: Uncertainty Quantification
Neural wave-based imaging with amortized uncertainty quantification
3:00 PM - 3:20 PM Keynote Speaker - Laurent Demanet - MIT -Session III- Method development 2: Uncertainty Quantification
ML for intelligent regularization
3:20 PM - 3:40 PM Session III- Method development 2: Uncertainty Quantification
Technical Presentation
3:40 PM - 4:00 PM
Open panel discussion
4:00 PM - 4:10 PM
Wrap up
4:10 PM - 5:10 PM
Ice Breaker Reception

8:50 AM - 9:00 AM
Welcome Speech on behalf of EAGE
9:00 AM - 9:30 AM Keynote Speaker - Tariq Alkalifah
Tutorials- State of the Art in ML-FWI
9:30 AM - 10:00 AM Keynote Speaker - Kris Innanen -Session I- Method development 1: Formulations
Towards a comprehensive, seismic waveform inversion based framework for 4D monitoring, and the role of AI in implementing it
10:00 AM - 10:20 AM Keynote Speaker - Mrinal K Sen (University of Texas)- Session I- Method development 1: Formulations
Physics-based machine learning for FWI and uncertainty quantification
10:20 AM - 10:40 AM
Coffee Break a.m
10:40 AM - 11:40 AM Session I- Method development 1: Formulations
Technical Presentations
11:40 AM - 12:00 PM
Open Panel Discussion
12:00 PM - 1:00 PM
Lunch Break
1:00 PM - 1:30 PM Keynote SpeakerI- Tianze Zhang- University of Calgary -Session II- Method development 1: Formulations
Towards solving for optimal physics and optimal parameters in ML-FWI
1:30 PM - 2:10 PM Session II- Method development 1: Formulations
Technical Presentations
2:10 PM - 2:30 PM
Open Pannel Discussion
2:30 PM - 3:00 PM Keynote Speaker- Felix Herrmann- Session III- Method development 2: Uncertainty Quantification
Neural wave-based imaging with amortized uncertainty quantification
3:00 PM - 3:20 PM Keynote Speaker - Laurent Demanet - MIT -Session III- Method development 2: Uncertainty Quantification
ML for intelligent regularization
3:20 PM - 3:40 PM Session III- Method development 2: Uncertainty Quantification
Technical Presentation
3:40 PM - 4:00 PM
Open panel discussion
4:00 PM - 4:10 PM
Wrap up
4:10 PM - 5:10 PM
Ice Breaker Reception


Friday, September 13, 2024


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