Biblio

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Mathias Louboutin and Felix J. Herrmann, Data driven Gradient Sampling for seismic inversion, SINBAD Fall consortium talks. SINBAD, 2017.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, Data normalization strategies for full-waveform inversion, in EAGE Annual Conference Proceedings, 2017.
Tim T.Y. Lin and Felix J. Herrmann, Dealing with acquisition gaps in Robust EPSI without interpolation using wavefield auto-convolution, SINBAD Fall consortium talks. SINBAD, 2014.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, A debiasing approach to microseismic, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Ajinkya Kadu and Rajiv Kumar, Decentralized full-waveform inversion, in EAGE Annual Conference Proceedings, 2018.
Vishal Kumar and Felix J. Herrmann, Deconvolution with curvelet-domain sparsity, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Deep Bayesian inference for seismic imaging with tasks, Geophysics, vol. 87, pp. 281-302, 2022.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Ali Siahkoohi, Deep generative models for solving geophysical inverse problems, Georgia Institute of Technology, Atlanta, 2022.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, in EAGE Annual Conference Proceedings, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, GT SEG Student Chapter. 2020.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, Deep-learning based ocean bottom seismic wavefield recovery, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Felix J. Herrmann, (De)-Focused wavefield reconstructions, in SINBAD 2008, 2008.
Rongrong Wang and Felix J. Herrmann, A denoising formulation of full-waveform inversion, in SEG Technical Program Expanded Abstracts, 2017, pp. 1594-1598.
Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, Denoising high-amplitude cross-flow noise using curvelet-based stable principle component pursuit, in EAGE Annual Conference Proceedings, 2017.
Rongrong Wang and Felix J. Herrmann, Denoising the wavefield inversion problem through source blending and penalty method, SINBAD Fall consortium talks. SINBAD, 2014.
Tim T.Y. Lin, Haneet Wason, and Felix J. Herrmann, Dense shot-sampling via time-jittered marine sources, in SEG Workshop on Simultaneous Sources; Houston, 2013.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images, ML4SEISMIC Partners Meeting. 2022.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Derisking geologic 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.
Henryk Modzelewski, Design and specifications for SLIM’s software framework, in SINBAD 2008, 2008.
Henryk Modzelewski, Design and specifications for SLIM’s software framework, in SINBAD 2006, 2006.
Gang Tang, Reza Shahidi, and Jianwei Ma, Design of two-dimensional randomized sampling schemes for curvelet-based sparsity-promoting seismic data recovery, UBC Earth and Ocean Sciences Department, TR-EOAS-2009-3, 2009.

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