Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mike Perz"'
Autor:
Yi Huang, Jian Mao, James Sheng, Mike Perz, Yang He, Feng Hao, Faqi Liu, Bin Wang, Seet Li Yong, Daniel Chaikin, Adriana Citlali Ramirez, Matt Hart, Henrik Roende
Publikováno v:
The Leading Edge. 42:124-132
Full-waveform inversion (FWI) is firmly established within our industry as a powerful velocity model building tool. FWI carries significant theoretical advantages over conventional velocity model building methods such as refraction and reflection tom
Publikováno v:
First Break. 39:85-93
Summary Least Squares RTM (LSRTM) is a powerful inversion-based imaging algorithm which minimizes the data misfit between observed seismic recordings and forward-modelled synthetic data. The algorithm, which can be implemented in either data or image
Publikováno v:
Proceedings of the 8th Unconventional Resources Technology Conference.
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Publikováno v:
Proceedings of the 7th Unconventional Resources Technology Conference.
Publikováno v:
Proceedings of the 7th Unconventional Resources Technology Conference.
Publikováno v:
The Leading Edge. 32:64-71
Motivated by the desire for greater resolution in PS data, and an interest in methods designed to produce this, we have explored some fundamental concepts of PS resolution in order to better understand proposed methods. Our study has produced three k
Publikováno v:
The Leading Edge. 30:890-904
We investigated our ability to remove a specific short-period multiple from the Nisku and Blueridge formations in West Central Alberta, Canada. This problem is commercial in nature, and has persisted because it was believed that the multiple had too
Publikováno v:
GEOPHYSICS. 75:WB225-WB234
We propose a greedy inversion method for a spatially localized, high-resolution Radon transform. The kernel of the method is based on a conventional iterative algorithm, conjugate gradient (CG), but is utilized adaptively in amplitude-prioritized loc
Publikováno v:
The Leading Edge. 29:1020-1026
Spectral decomposition is a standard tool in seismic interpretation to highlight variations in layer thicknesses (e.g., in sand channels and turbidites). This is done by examining changes in peak frequencies in extracted horizon slices (Partyka et al