Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Sungryul Shin"'
Publikováno v:
Journal of Environmental & Engineering Geophysics; Jun2024, Vol. 29 Issue 2, p47-60, 14p
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 59:634-643
Publikováno v:
Journal of Geophysics and Engineering. 19:39-50
Full waveform inversion (FWI) in the time domain has limitations due to large computing time and memory requirements. Some studies have addressed this problem by using machine learning techniques. Most FWI studies using machine learning directly esti
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-10
We propose seismic elastic full-waveform inversion (EFWI) using both the multiparametric approximate Hessian and the discrete cosine transform (DCT). EFWI is a promising technology for obtaining physical parameters. EFWI using the multiparametric app
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 58:443-463
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 58:433-443
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 57:24-34
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 56:260-269
Publikováno v:
Applied Acoustics. 197:108916
Autor:
Jiho Ha, Wookeen Chung, Young-Ju Kim, Nam-Hyung Koo, Sang-Mok Han, Jae-Joon Lee, Sungryul Shin, Changsoo Shin, Nam-Sub Woo, Seongpil Kim
Publikováno v:
Journal of Applied Geophysics. 153:154-167
Although many full waveform inversion methods have been developed to construct velocity models of subsurface, various approaches have been presented to obtain an inversion result with long-wavelength features even though seismic data lacking low-freq