Research Area: My main work currently focuses on computational methods for large scale inverse problems such as seismic inversion. Inverse problems such as seismic inversion require access to scientific computing framework in order to solve the wave equation. With Devito, my main work during my Ph.D, I provide a high-level symbolic DSL for the definition of partial differential equation. Devito then automatically generate and compile highly performant low-level C-code to solve the wave--equation while domain specialist such as geophysicist or mathematics only need to define it at a readable level. This works enable research and development that would be unfeasible or would requires years of work without the simple and accessible interface and solver I developed. I am also working on methods for solving seismic inversion problems, that are non-convex PDE constrained optimization problems, as well as on the extension to advanced representations of the physics of methods that are currently restricted to the trivial isotropic acoustic case.
Devito is an open-source project that can be found at:
https://www.devitoproject.org
https://github.com/opesci/devito
Homepage: https://github.com/mloubout
About me: Ph.D. student at Georgia Institute of Technology, School of computing, CSE. I completed a Bs.C. in Mathematics and Physics, did two years of aircraft engineering and obtained a Ms.C in applied Mathematics with honors at Universite of Rennes 1 in France before starting my Ph.D. with Professor Felix. J. Herrmann. Expected to graduate in Spring 2020.
Homepage: https://github.com/mloubout
About me: Ph.D. student at Georgia Institute of Technology, School of computing, CSE. I completed a Bs.C. in Mathematics and Physics, did two years of aircraft engineering and obtained a Ms.C in applied Mathematics with honors at Universite of Rennes 1 in France before starting my Ph.D. with Professor Felix. J. Herrmann. Expected to graduate in Spring 2020.
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, “Derisking geological carbon storage from high-resolution time-lapse seismic to explainable leakage detection”, The Leading Edge, vol. 42, pp. 69–76, 2023.
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, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
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, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
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, “Uncertainty-aware time-lapse CO$_2$ monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.
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, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
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, “Time-lapse seismic survey design by maximizing the spectral gap”, ML4SEISMIC Partners Meeting. 2022.
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, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
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, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
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, “De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
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, “De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images”, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
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, “Amortized velocity continuation with Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
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, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
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, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 2022.
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, “Abstractions and algorithms for efficient seismic inversion on accelerators”, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
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, “Enabling wave-based inversion on GPUs with randomized trace estimation”, in EAGE Annual Conference Proceedings, 2022, p. Seismic Wave Modelling and Least Square Migration 2 session.
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, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.