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2019
Seismic wavelets model so many signals, including seismic source signatures, and are a main part of the seismic convolution model. They can be classified in various types. This chapter discusses various types of wavelet and their importantce. Also, it presents seismic wavelet processing as a method to shape the seismic wavelet, i.e., reduce its effect ...
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Seismic wavelets model so many signals, including seismic source signatures, and are a main part of the seismic convolution model. They can be classified in various types. This chapter discusses various types of wavelet and their importantce. Also, it presents seismic wavelet processing as a method to shape the seismic wavelet, i.e., reduce its effect ...
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GêBR: a free seismic processing interface
12th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 15–18 August 2011, 2011There are many programs for processing seismic data that are freely available and widespread, for example Seismic Un*x, Madagascar, FreeUSP, and SEPlib, among others. All these packages consist of packages of command-line-oriented programs that are designed to be used in sequence; the data conceptually flow in a pipeline through one program after ...
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Seismic Imaging and Processing with Curvelets
69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007, 2007In this paper, we present a nonlinear curvelet-based sparsity-promoting formulation for three problems in seismic processing and imaging namely, seismic data regularization from data with large percentages of traces missing; seismic amplitude recovery for subsalt images obtained by reverse-time migration and primary-multiple separation, given an ...
Herrmann, Felix J. +2 more
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1986
In this chapter, a simplified processing stream for marine data is described, and then modifications in the stream are included along with modification rationales. The basic marine processing stream is given in table 10.1. Then a simplified processing stream for land data and modifications thereof are described.
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In this chapter, a simplified processing stream for marine data is described, and then modifications in the stream are included along with modification rationales. The basic marine processing stream is given in table 10.1. Then a simplified processing stream for land data and modifications thereof are described.
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Point process analysis for Italian seismic activity
Applied Stochastic Models and Data Analysis, 1996Stochastic models for earthquakes prediction in four Italian most seismic regions are considered. Data on the earthquakes occurrence times (\(t_j\)) and magnitudes (\(m_j\)) since 1860 were used. The models are based on the conditional intensity of the marginal point process \(N(t)\) (the number of earthquakes till time \(t\)), \[ \lambda(t)=E\{(dN(t ...
B. Betro', LADELLI, LUCIA MARIA
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The Leading Edge, 2002
On the occasion of THE LEADING EDGE'S 20th anniversary, it seems appropriate to pause and consider progress in our science over that period of time. My topic is seismic data processing, and many of the advances discussed here were published first in GEOPHYSICS or other peer-reviewed journals, then appeared in more digestible form in the pages of TLE ...
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On the occasion of THE LEADING EDGE'S 20th anniversary, it seems appropriate to pause and consider progress in our science over that period of time. My topic is seismic data processing, and many of the advances discussed here were published first in GEOPHYSICS or other peer-reviewed journals, then appeared in more digestible form in the pages of TLE ...
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Parallel Seismic Data Processing
1999In Geophysics measured seismic data sets need to be analyzed using numerical operators. Such operators consist of Fourier Transforms, integral transforms, convolutions and other mathematical concepts. The result of such inversion methods is a realistic description of the subsurface of the earth.
Martin Karrenbach +2 more
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The Journal of the Acoustical Society of America, 1967
Frequency filtering and spatial filtering have been usefully applied for many years to the problem of extraction of signals from noise in active seismic exploration and in passive earthquake surveillance. Because broadband (octave or more) transients are of interest in both areas, frequency dependent spatial filtering has been frequently used.
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Frequency filtering and spatial filtering have been usefully applied for many years to the problem of extraction of signals from noise in active seismic exploration and in passive earthquake surveillance. Because broadband (octave or more) transients are of interest in both areas, frequency dependent spatial filtering has been frequently used.
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Inversion QC - Integrating Seismic Inversion and Seismic Data Processing
Proceedings, 2013Seismically guided reservoir description involves estimating and mapping reservoir properties such as lithology, porosity, and pore fluid. The estimates of reservoir properties are derived from seismic attributes that are obtained from prestack seismic inversion by means of some form of amplitude variation with offset (AVO) analysis and inversion ...
S.P. McHugo, M. Leathard, A. Dippenaar
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Distributed Seismic Unix: a tool for seismic data processing
Concurrency: Practice and Experience, 1999This paper describes a distributed system called Distributed Seismic Unix (DSU). DSU provides tools for creating and executing application sequences over several types of multiprocessor environments. DSU is designed to assist geophysicists in developing and executing sequences of Seismic Unix (SU) applications in clusters of workstations as well as on ...
Alejandro E. Murillo, Jean Bell
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