Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Joongmoo Byun"'
Publikováno v:
In Journal of Petroleum Science and Engineering January 2022 208 Part A
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-10
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-11
Publikováno v:
Exploration Geophysics. 54:133-143
Imaging subsurface structure over the Xiadian fault using P waves extracted from urban traffic noise
Publikováno v:
Geophysical Journal International. 231:256-268
SUMMARY The imaging of subsurface structures is an essential task in subsurface engineering projects; it provides information regarding the locations of active faults and layer boundaries. Among the methods available for imaging of subsurface structu
Publikováno v:
GEOPHYSICS. 87:V117-V129
Diffraction images can be used for modeling reservoir heterogeneities at or below the seismic wavelength scale. However, the extraction of diffractions is challenging because their amplitude is weaker than that of overlapping reflections. Recently, d
Autor:
Joongmoo Byun, Seokmin Oh
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
With the recent progress in deep learning (DL), DL inversion, which reconstructs subsurface physical properties from geophysical data using DL techniques, has been widely applied. For decision-making and risk management related to the application of
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Autor:
Dowan Kim, Joongmoo Byun
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
GEOPHYSICS. 86:E407-E419
Conventional interpretation of airborne electromagnetic data has been conducted by solving the inverse problem. However, with recent advances in machine learning (ML) techniques, a 1D deep neural network inversion that predicts a 1D resistivity model