Follow
Bas Peters
Bas Peters
Research Scientist at Computational Geosciences Inc.
Verified email at compgeoinc.com - Homepage
Title
Cited by
Cited by
Year
Multiresolution neural networks for tracking seismic horizons from few training images
B Peters, J Granek, E Haber
Interpretation 7 (3), SE201-SE213, 2019
612019
Constraints versus penalties for edge-preserving full-waveform inversion
B Peters, FJ Herrmann
The Leading Edge 36 (1), 94-100, 2017
542017
Neural networks for geophysicists and their application to seismic data interpretation
B Peters, E Haber, J Granek
The Leading Edge 38 (7), 534-540, 2019
442019
Projection methods and applications for seismic nonlinear inverse problems with multiple constraints
B Peters, BR Smithyman, FJ Herrmann
Geophysics 84 (2), R251-R269, 2019
302019
A new take on FWI-wavefield reconstruction inversion
T van Leeuwen, FJ Herrmann, B Peters
76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014
242014
Wave-equation based inversion with the penalty method-adjoint-state versus wavefield-reconstruction inversion
B Peters, FJ Herrmann, T van Leeuwen
76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014
202014
Mineral prospectivity mapping using a VNet convolutional neural network
M McMillan, E Haber, B Peters, J Fohring
The Leading Edge 40 (2), 99-105, 2021
172021
Fully hyperbolic convolutional neural networks
K Lensink, B Peters, E Haber
Research in the Mathematical Sciences 9 (4), 60, 2022
152022
Constrained waveform inversion of colocated VSP and surface seismic data
BR Smithyman, B Peters, FJ Herrmann
77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015
122015
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems
B Peters, FJ Herrmann
arXiv preprint arXiv:1902.09699, 2019
102019
A sparse reduced hessian approximation for multi-parameter wavefield reconstruction inversion
B Peters, FJ Herrmann
SEG Technical Program Expanded Abstracts 2014, 1206-1210, 2014
82014
Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing
KL Bas Peters, Eldad Haber
AI for Earth Sciences workshop, International Conference on Learning …, 2020
7*2020
A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations
B Peters, FJ Herrmann
SEG International Exposition and Annual Meeting, D023S011R004, 2019
72019
Projection methods and applications for seismic nonlinear inverse problems with multiple constraints: Geophysics, 84
B Peters, BR Smithyman, FJ Herrmann
R251–R269, 2019
7*2019
Symmetric block-low-rank layers for fully reversible multilevel neural networks
B Peters, E Haber, K Lensink
arXiv preprint arXiv:1912.12137, 2019
52019
Automatic classification of geologic units in seismic images using partially interpreted examples
B Peters, J Granek, E Haber
81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019
52019
Multiresolution neural networks for tracking seismic horizons from few training images: Interpretation, 7
B Peters, J Granek, E Haber
SE201–SE213, 2019
52019
Point-to-set distance functions for output-constrained neural networks
B Peters
Journal of Applied and Numerical Optimization 4 (2), 175-201, 2022
42022
Fully reversible neural networks for large-scale 3D seismic horizon tracking
B Peters, E Haber
EAGE 2020 Annual Conference & Exhibition Online 2020 (1), 1-5, 2020
42020
Generalized Minkowski sets for the regularization of inverse problems
B Peters, FJ Herrmann
arXiv preprint arXiv:1903.03942, 2019
42019
The system can't perform the operation now. Try again later.
Articles 1–20