Biblio
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, “De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images”, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
, “De-risking GCS projects with explainable CO2 leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
, “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.
, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 2022.
, “Julia for Geoscience”, Transform. 2022.
, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 2022.
, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Time-lapse seismic survey design by maximizing the spectral gap”, ML4SEISMIC Partners Meeting. 2022.
, “Uncertainty-aware Digital Twin for Monitoring Geological Carbon Storage”, Direct Air Capture Center Meeting. 2022.
, “Uncertainty-aware time-lapse CO2 monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Wave-equation based inversion with amortized variational Bayesian inference”, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).
, “Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model”, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
, “Distributed Fourier Neural Operators”, ML4SEISMIC Partners Meeting. 2021.