Biblio
“Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling and Optimal Pressure Control”, in CCUS 2025 - Carbon Capture, Utilization, and Storage Conference, 2025.
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“BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Coupled Permeability Inversion from Time-Lapse Seismic Data”, in Geophysical Research for Gigatonnes CO2 Storage, Colorado School of Mines, 2024.
, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, ML4SEISMIC Partners Meeting. 2024.
, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Digital Twins in the era of generative AI - Application to Geological CO2 Storage”, ICL Seminar. 2024.
, “Digital Twins in the era of generative AI — Application to Geological CO2 Storage”, in ICON Seminar in IoT, 2024.
, “Digital Twins in the Era of Generative AI: Application to Geological CO2 Storage”, HCMF Seminar. 2024.
, “DT4GCS — Digital Twin for Geological CO2 Storage and Control”, in Geophysical Research for Gigatonnes CO2 Storage, Colorado School of Mines, 2024.
, “DT4GCS –- Digital Twin for Geological CO2 Storage and Control”, in Gigatonnes CO2 Storage Workshop, 2024.
, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 2024.
, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Enhancing Performance with Uncertainty Estimation in Geological Carbon Storage Leakage Detection from Time-Lapse Seismic Data”, ML4SEISMIC Partners Meeting. 2024.
, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
, “Generative AI for full-waveform variational inference”, Georgia Tech Geophysics Seminar. 2024.
, “Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes”, ML4SEISMIC Partners Meeting. 2024.
, “InvertibleNetworks.jl: A Julia package for scalable normalizing flows”, Journal of Open Source Software, vol. 9, 2024.
, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.
, “Neural wave-based imaging with amortized uncertainty quantification”, ICL Seminar. 2024.
, “Neural wave-based imaging with amortized uncertainty quantification”, in Inverse Problems: Modelling and Simulation, 2024.
, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in EAGE Annual Conference Proceedings, 2024.
, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.
, “Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling”, ML4SEISMIC Partners Meeting. 2024.
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