Biblio

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2023
Felix J. Herrmann, Act normal that's crazy enough — an overview of seismic inversion with normalizing flows and surrogate modeling, Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar. 2023.
Grant Bruer, Felix J. Herrmann, and Edmond Chow, CO2 reservoir monitoring through Bayesian data assimilation, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, Coupled physics inversion for geological carbon storage monitoring, in International Meeting for Applied Geoscience and Energy, 2023.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Derisking geological carbon storage from high-resolution time-lapse seismic to explainable leakage detection, The Leading Edge, vol. 42, pp. 69–76, 2023.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, Derisking geological storage with simulation-based seismic monitoring design and machine learning, in Carbon, Capture, Utilization, and Storage, 2023.
Felix J. Herrmann, Digital twins in the era of generative AI, The Leading Edge, vol. 42, 2023.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, End-to-end permeability inversion from prestack time-lapse seismic data: a case study on Compass model, ML4SEISMIC Partners Meeting. 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Enhancing CO2 Leakage Detectability via Dataset Augmentation, in International Meeting for Applied Geoscience and Energy, 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Improved automatic seismic CO2 leakage detection via dataset augmentation, ML4SEISMIC Partners Meeting. 2023.
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, Inference of CO2 flow patterns – a feasibility study, in Neural Information Processing Systems (NeurIPS), 2023.
Ziyi Yin, Introduction to Seismic Laboratory for Imaging and Modeling, CSE Student Recruiting Event. 2023.
Richard Rex, Thomas J. Grady II, Rishi Khan, Ziyi Yin, and Felix J. Herrmann, Large-scale parametric PDE approximations with model-parallel Fourier neural operators, ML4SEISMIC Partners Meeting. 2023.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, Learned multiphysics inversion with differentiable programming and machine learning, The Leading Edge, vol. 42, pp. 452-516, 2023.
Haoyun Li, Ziyi Yin, Olav Møyner, and Felix J. Herrmann, Maximizing CO2 injectivity within fracture pressure, ML4SEISMIC Partners Meeting. 2023.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs, Computers & Geosciences, vol. 178, p. 105402, 2023.
Abhinav Prakash Gahlot, Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring subsurface CO2 plumes with learned sequential Bayesian inference, ML4SEISMIC Partners Meeting. 2023.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference, in International Meeting for Applied Geoscience and Energy, 2023.
Abhinav Prakash Gahlot, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model, ML4SEISMIC Partners Meeting. 2023.
Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model, in International Meeting for Applied Geoscience and Energy, 2023.

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