Sergey B. Fomel, Ph.D.
Affiliations: | 2001 | Stanford University, Palo Alto, CA |
Area:
GeophysicsGoogle:
"Sergey Fomel"Mean distance: 18.44 | S | N | B | C | P |
Parents
Sign in to add mentorJon F. Claerbout | grad student | 2001 | Stanford | |
(Three-dimensional seismic data regularization.) |
Children
Sign in to add traineeAkshika Rohatgi | grad student | 2023- | UT Austin (Neurotree) |
Hejun Zhu | post-doc | 2013-2015 | UT Austin |
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Publications
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Merzlikin D, Fomel S, Wu X. (2020) Least-squares diffraction imaging using shaping regularization by anisotropic smoothing Geophysics. 1-71 |
Kaur H, Pham N, Fomel S. (2020) Improving the resolution of migrated images by approximating the inverse Hessian using deep learning Geophysics. 85 |
Sripanich Y, Fomel S, Trampert J, et al. (2020) Probabilistic moveout analysis by time warping Geophysics. 85: U1-U20 |
Gremillion B, Fomel S. (2019) Seismic image interpolation from irregular locations to a 3D grid using dynamic time warping Seg Technical Program Expanded Abstracts |
Decker L, Fomel S. (2019) Path-integral seismic diffraction imaging with probability weights Seg Technical Program Expanded Abstracts |
Wu X, Liang L, Shi Y, et al. (2019) Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural network Seg Technical Program Expanded Abstracts |
Kaur H, Pham N, Fomel S. (2019) Seismic data interpolation using CycleGAN Seg Technical Program Expanded Abstracts |
Kaur H, Pham N, Fomel S. (2019) Estimating the inverse Hessian for amplitude correction of migrated images using deep learning Seg Technical Program Expanded Abstracts |
Merzlikin D, Fomel S, Sen MK. (2019) Least-squares path-summation diffraction imaging using sparsity constraints Geophysics. 84 |
Xue Z, Zhang H, Zhao Y, et al. (2019) Pattern-guided dip estimation with plane-wave destruction filters Geophysical Prospecting. 67: 1798-1810 |