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[КНИГА][B] Introduction to petroleum seismology
LT Ikelle, L Amundsen - 2018 - library.seg.org
Introduction to Petroleum Seismology, second edition, provides the theoretical and practical
foundation for tackling present and future challenges of petroleum seismology, especially …
foundation for tackling present and future challenges of petroleum seismology, especially …
Elimination of free-surface related multiples without need of the source wavelet
L Amundsen - Geophysics, 2001 - pubs.geoscienceworld.org
This paper presents a new, wave-equation based method for eliminating the effect of the
free surface from marine seismic data without destroying primary amplitudes and without …
free surface from marine seismic data without destroying primary amplitudes and without …
Research status and progress in multiple elimination
J SONG, V DJ, X CHEN - Progress in Geophysics, 2014 - en.dzkx.org
Most of the current seismic data processing techniques make use of primaries for imaging or
inversion, the existence of multiples has a severe impact on seismic imaging, inversion and …
inversion, the existence of multiples has a severe impact on seismic imaging, inversion and …
Non-linear primary-multiple separation with directional curvelet frames
FJ Herrmann, U Böniger… - Geophysical Journal …, 2007 - academic.oup.com
Predictive multiple suppression methods consist of two main steps: a prediction step, during
which multiples are predicted from seismic data, and a primary-multiple separation step …
which multiples are predicted from seismic data, and a primary-multiple separation step …
Adaptive curvelet-domain primary-multiple separation
FJ Herrmann, D Wang, DJ Verschuur - Geophysics, 2008 - library.seg.org
In many exploration areas, successful separation of primaries and multiples greatly
determines the quality of seismic imaging. Despite major advances made by surface-related …
determines the quality of seismic imaging. Despite major advances made by surface-related …
Surface-related multiple attenuation based on a self-supervised deep neural network with local wavefield characteristics
K Wang, T Hu, B Zhao, S Wang - Geophysics, 2023 - library.seg.org
Multiple suppression is a very important step in seismic data processing. To suppress
surface-related multiples, we develop a self-supervised deep neural network method based …
surface-related multiples, we develop a self-supervised deep neural network method based …
Adaptive multiple subtraction using independent component analysis
W Lu - Geophysics, 2006 - library.seg.org
Adaptive multiple subtraction is a critical and challenging procedure for the widely used
surface-related multiple attenuation (SRMA) techniques. In this paper, I present an adaptive …
surface-related multiple attenuation (SRMA) techniques. In this paper, I present an adaptive …
Comparison of wavelet estimation methods
BY Yi, GH Lee, HJ Kim, HT Jou, DG Yoo, BJ Ryu… - Geosciences …, 2013 - Springer
Wavelet estimation is a very important task in seismic data processing and analysis such as
deterministic deconvolution, seismic-to-well tie, and seismic inversion, among others. We …
deterministic deconvolution, seismic-to-well tie, and seismic inversion, among others. We …
Scattering diagrams in seismic imaging: More insights into the construction of virtual events and internal multiples
LT Ikelle, I Erez, X Yang - Journal of Applied Geophysics, 2009 - Elsevier
The key processes in marine seismic imaging include (i) removing from seismic data all
seismic events (free-surface multiples and ghosts) which contain at least one reflection at …
seismic events (free-surface multiples and ghosts) which contain at least one reflection at …
Source wavelet estimation in full waveform inversion
In full-waveform inversion (FWI), a small disturbance in the source wavelet may lead to large
discrepancies in the inverted model, which becomes larger as the depth increases due to …
discrepancies in the inverted model, which becomes larger as the depth increases due to …