Biblio
] , “Assessing the need for repeatability in acquisition of time-lapse data”, in CSEG Annual Conference Proceedings, 2013.
, “Time-lapse seismics with randomized sampling”, UBC, TR-EOAS-2013-3, 2013.
, “Randomized sampling without repetition in time-lapse surveys”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4848-4852.
, “Time-lapse seismic without repetition: reaping the benefits from randomized sampling and joint recovery”, in EAGE Annual Conference Proceedings, 2014.
, “Compressed sensing in 4-D marine–-recovery of dense time-lapse data from subsampled data without repetition”, in EAGE Annual Conference Proceedings, 2015.
, “Compressive time-lapse seismic data processing using shared information”, in CSEG Annual Conference Proceedings, 2015.
, “A new take on compressive time-lapse seismic acquisition, imaging and inversion”, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
, “Using common information in compressive time-lapse full-waveform inversion”, in EAGE Annual Conference Proceedings, 2015.
, “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.
, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 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 CO$_2$ monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection”, The Leading Edge, vol. 42, pp. 69-76, 2023.
, “Digital twins in the era of generative AI”, The Leading Edge, vol. 42, 2023.
, “Large scale wavefield reconstruction via weighted matrix factorization and seismic survey design”, Georgia Institute of Technology, Atlanta, 2023.
, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
, “Optimized time-lapse acquisition design via spectral gap ratio minimization”, Geophysics, vol. 88, pp. A19-A23, 2023.
, “Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates”, in Engineering Mechanics Institute Conference, 2023.