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Monitoring Seismic Processing For Seismic Reservoir Characterization

International Petroleum Technology Conference, 2009
This reference is for an abstract only. A full paper was not submitted for this conference. Abstract Seismic reservoir characterization (for instance, inversion) requires a well-controlled seismic signal that can sometimes not be guaranteed by conventional processing QCs. One option is to use borehole
Pierre-Olivier Lys   +3 more
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Seismic anisotropy in Trinidad: Processing and interpretation

SEG Technical Program Expanded Abstracts 1997, 1997
The imaging improvements are shown for two different lines from Trinidad. The lithology of offshore Trinidad is formed of alternating sequences of sand and shale dominated layers. Despite the presence of sands, accounting for anisotropy in seismic processing results in improved imaging of structural and stratigraphic features.
Tariq Alkhalifah, Dave Rampton
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Point process analysis for Italian seismic activity

Applied Stochastic Models and Data Analysis, 1996
Stochastic 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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Seismic data processing and interpretation on the loess plateau, Part 1: Seismic data processing

Applied Geophysics, 2005
Branching river channels and the coexistence of valleys, ridges, hills, and slopes as the result of long-term weathering and erosion form the unique loess topography. The Changqing Geophysical Company, working in these complex conditions, has established a suite of technologies for high-fidelity processing and fine interpretation of seismic data.
Jiayu Jiang, Shouxian Fu, Jiuling Li
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BotoSeis: An Interactive Interface for Seismic Processing with Seismic Unix

Proceedings, 2012
Despite the Seismic Unix (SU) be the most famous open-source package for seismic processing is still a challenge to use it, specially for inexperienced users. Usually the SU package is used from a command line and using complicated shell scripts. In order to obtain a simple, flexible and robust way to work with the SU package, we present a graphical ...
German Garabito   +3 more
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Seismic Wavelet Processing

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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GêBR: a free seismic processing interface

12th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 15–18 August 2011, 2011
There 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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The Seismic Signal Process

1983
In terms of linear filter theory, the seismic signal process is the convolution of the seismic pulse with the earth’s reflectivity. This process is a mixture of determinism and randomness, because the seismic pulse has a deterministic waveform, while the reflectivity is a random function.
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The Seismic Processing Tools

2016
From mid 1950s till mid 1960s a jump in the seismic data processing took place. Within this interval, the analogue magnetic-tape recording and processing, followed by the introduction of digital technique, were introduced.
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Computer Processing of Seismic Refraction Data

Exploration Geophysics, 1979
In the generalised reciprocal method (GRM) of seismic refraction interpretation described by Palmer (1974, in prep.), the data processing and interpretation stages may be separated. The data processing stage is relatively simple but as it may involve handling considerable amounts of data, the use of a computer is desirable.
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