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, 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, Improved automatic seismic CO2 leakage detection via dataset augmentation, ML4SEISMIC Partners Meeting. 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.
Haoyun Li, Ziyi Yin, Olav Møyner, and Felix J. Herrmann, Maximizing CO2 injectivity within fracture pressure, ML4SEISMIC Partners Meeting. 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.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Solving PDE-based inverse problems with learned surrogates and constraints, HotCSE Seminar. 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.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Towards generative seismic kriging with normalizing flows, ML4SEISMIC Partners Meeting. 2023.
Rafael Orozco, Mathias Louboutin, Peng Chen, and Felix J. Herrmann, Uncertainty quantification so what? Leveraging probabilistic seismic inversion for experimental design, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: Full-waveform Inference with Subsurface Extensions, ML4SEISMIC Partners Meeting. 2023.
2024
Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, A Digital Twin for Geological Carbon Storage with Controlled Injectivity, ML4SEISMIC Partners Meeting. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Digital Twins in the era of generative AI - Application to Geological CO2 Storage, ICL Seminar. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Digital Twins in the Era of Generative AI: Application to Geological CO2 Storage, HCMF Seminar. 2024.
Yunlin Zeng, Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Enhancing Full-Waveform Variational Inference through Stochastic Resampling, ML4SEISMIC Partners Meeting. 2024.
S. Zeng, Huseyin Tuna Erdinc, Ziyi Yin, Abhinav Prakash Gahlot, and Felix J. Herrmann, Enhancing Performance with Uncertainty Estimation in Geological Carbon Storage Leakage Detection from Time-Lapse Seismic Data, ML4SEISMIC Partners Meeting. 2024.
Richard Rex, Yunlin Zeng, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, FNO-charged ASPIRE, ML4SEISMIC Partners Meeting. 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Generative AI for full-waveform variational inference, Georgia Tech Geophysics Seminar. 2024.
S. Zeng, Rafael Orozco, Huseyin Tuna Erdinc, and Felix J. Herrmann, Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes, ML4SEISMIC Partners Meeting. 2024.
Rafael Orozco, Huseyin Tuna Erdinc, Souza, T., Yunlin Zeng, Ziyi Yin, and Felix J. Herrmann, Machine-learning enabled velocity-model building with uncertainty quantification, ML4SEISMIC Partners Meeting. 2024.

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