Biblio

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Conference
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility, in 4th EAGE Workshop on High-performance Computing, 2019.
Bas Peters, Chen Greif, and Felix J. Herrmann, An algorithm for solving least-squares problems with a Helmholtz block and multiple right-hand-sides, in International Conference On Preconditioning Techniques For Scientific And Industrial Applications, 2015.
Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, Automatic salt delineation –- Wavefield Reconstruction Inversion with convex constraints, in SEG Technical Program Expanded Abstracts, 2015, pp. 1337-1343.
Ernie Esser, Lluís Guasch, and Felix J. Herrmann, Automatic salt flooding with hinged FWI, in SEG Workshop on Subsalt model buiding long to short wavelengths; New Orleans, 2015.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J. Gorman, and Felix J. Herrmann, Compressive least squares migration with on-the-fly Fourier transforms, in SIAM Conference on Computational Science and Engineering, 2019.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, Data normalization strategies for full-waveform inversion, in EAGE Annual Conference Proceedings, 2017.
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.
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.
Navjot Kukreja, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, Devito: automated fast finite difference computation, in WOLFHPC 2016 Workshop (Super Computing), 2016.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, DeVito: fast finite difference computation, in Super Computing (SC16), 2016.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, Devito: symbolic math for automated fast finite difference computations, in SIAM Conference on Computational Science and Engineering, 2017.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, Devito: Towards a generic finite difference DSL using symbolic python, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Haoyun Li, DT4GCS –- Digital Twin for Geological CO2 Storage and Control, in Gigatonnes CO2 Storage Workshop, 2024.
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.
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.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, Leveraging symbolic math for rapid development of applications for seismic modeling, in OGHPC, 2017.
Rajiv Kumar, Marie Graff-Kray, Tristan van Leeuwen, and Felix J. Herrmann, Low-rank representation of extended image volumes––applications to imaging and velocity continuation, in SEG Technical Program Expanded Abstracts, 2018, pp. 4418-4422.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, Low-rank representation of subsurface extended image volumes with power iterations, in SEG Technical Program Expanded Abstracts, 2019, pp. 4470-4474.
Bas Peters, Felix J. Herrmann, and Chen Greif, Matrix-free quadratic-penalty methods for PDE-constrained optimization, in SIAM Conference on Computational Science and Engineering, 2015.
Ting-ying Yu, Abhinav Prakash Gahlot, 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.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, The Next Step: Interoperable Domain-Specific Programming, in SIAM Conference on Computational Science and Engineering, 2023.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, Normalizing Flows for Bayesian Experimental Design in Imaging Applications, in SIAM Conference on Uncertainty Quantification, 2024.

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