Home /Biblio

Biblio

Export 46 results:
Author Title Type [ Year(Desc)]
Filters: Author is Felix J. Herrmann and First Letter Of Title is F  [Clear All Filters]
2014
Ning Tu and Felix J. Herrmann, “Fast imaging with surface-related multiples by sparse inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Ning Tu and Felix J. Herrmann, “Fast linearized inversion with surface-related multiples with source estimation”, in SEG Workshop on Using Multiples as Signal for Imaging; Denver, 2014.
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, and Felix J. Herrmann, “Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation”, SIAM Journal on Scientific Computing, vol. 36, pp. S237-S266, 2014.
Rafael Lago, Art Petrenko, Zhilong Fang, and Felix J. Herrmann, “Fast solution of time-harmonic wave-equation for full-waveform inversion”, in EAGE Annual Conference Proceedings, 2014.
Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, “Fast uncertainty quantification for 2D full-waveform inversion with randomized source subsampling”, in EAGE Annual Conference Proceedings, 2014.
Rongrong Wang, Ozgur Yilmaz, and Felix J. Herrmann, “Full waveform inversion with interferometric measurements”, UBC, TR-EOAS-2014-5, 2014.
2015
Ning Tu and Felix J. Herrmann, “Fast imaging with surface-related multiples by sparse inversion”, Geophysical Journal International, vol. 201, pp. 304-317, 2015.
Mengmeng Yang, Ning Tu, and Felix J. Herrmann, “Fast imaging with surface-related multiples: – shallow water multiples”, SINBAD Fall consortium talks. SINBAD, 2015.
Ning Tu and Felix J. Herrmann, “Fast least-squares imaging with surface-related multiples: application to a North-Sea data set”, The Leading Edge, vol. 34, pp. 788–794, 2015.
Felix J. Herrmann, “Fast “online” migration with Compressive Sensing”, SINBAD Spring consortium talks. SINBAD, 2015.
Felix J. Herrmann, Ning Tu, and Ernie Esser, “Fast "online" migration with Compressive Sensing”, in EAGE Annual Conference Proceedings, 2015.
2016
Rongrong Wang and Felix J. Herrmann, “Frequency down-extrapolation with TV norm minimization”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1380-1384.
2017
Mengmeng Yang, Emmanouil Daskalakis, and Felix J. Herrmann, “Fast sparsity-promoting least-squares migration with multiples in time domain”, in SEG Technical Program Expanded Abstracts, 2017, pp. 4828-4832.
Rajiv Kumar, Nick Moldoveanu, Keegan Lensink, and Felix J. Herrmann, “Full-azimuth seismic data processing w/ coil acquisition”, SINBAD Fall consortium talks. SINBAD, 2017.
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 1: forward modeling”, The Leading Edge, vol. 36, pp. 1033-1036, 2017.
2018
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 2: adjoint modeling”, The Leading Edge, vol. 37, pp. 69-72, 2018.
Philipp A. Witte, Mathias Louboutin, Keegan Lensink, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 3: optimization”, The Leading Edge, vol. 37, pp. 142-145, 2018.
2019
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Fast sparsity-promoting microseismic source estimation”, Geophysical Journal International, vol. 216, pp. 164-181, 2019.
2020
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, and Felix J. Herrmann, “Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows”, Georgia Institute of Technology, TR-CSE-2020-2, 2020.
2021
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Fast and reliability-aware seismic imaging with conditional normalizing flows”, in Intelligent illumination of the Earth, 2021.
2023
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Fast neural FWI with amortized uncertainty quantification”, in International Meeting for Applied Geoscience and Energy, 2023.

Pages