2016
DOI: 10.1016/j.ejpe.2015.03.005
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Use of spectral decomposition technique for delineation of channels at Solar gas discovery, offshore West Nile Delta, Egypt

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Cited by 22 publications
(14 citation statements)
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“…(Right) Simplified map of main salt structures outlined in Figure 3 Seismic attribute volumes, including spectral decomposition Red-Green-Blue (RGB) colour blends, are generated from the 3D seismic volume and used for the seismic geomorphological analysis of the deep-water deposits. Spectral decomposition transforms the seismic reflection data into the frequency domain, which results in a variety of frequency volumes (Othman, Fathy, & Maher, 2016). In RGB colour blended maps, each colour corresponds to a specific frequency bin that is selected to image channel-lobe systems and mass-transport complexes (MTCs) within the target interval.…”
Section: F I G U R Ementioning
confidence: 99%
“…(Right) Simplified map of main salt structures outlined in Figure 3 Seismic attribute volumes, including spectral decomposition Red-Green-Blue (RGB) colour blends, are generated from the 3D seismic volume and used for the seismic geomorphological analysis of the deep-water deposits. Spectral decomposition transforms the seismic reflection data into the frequency domain, which results in a variety of frequency volumes (Othman, Fathy, & Maher, 2016). In RGB colour blended maps, each colour corresponds to a specific frequency bin that is selected to image channel-lobe systems and mass-transport complexes (MTCs) within the target interval.…”
Section: F I G U R Ementioning
confidence: 99%
“…13 discrete edges on a horizon surface, which might be related to the presence of minor (smallthrow) faults and increases the confidence in our structural interpretation. The spectral decomposition (SD) attribute helps to delineate subtle features at a specific frequency (Partyka et al, 1999;Othman et al, 2016). For example, when hydrocarbons replace water in porous sediments it attenuates the frequency response of the seismic reflector.…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 99%
“…Seismic data comprised of overprinted wavelet, resulting from frequent spanning of several subsurface layers during acquisition, therefore generating a complex tuned seismic reflection data. This varying frequency content in time makes seismic data non-stationary in nature [10]. The tuning effects of seismic data, together with subsurface lateral and vertical heterogeneity of sand distribution, affect the interpretation of some geologic features using conventional form of seismic structural interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…Spectral decomposition technique aims to delineate these subtle geologic features, by characterizing the time-dependent frequency response of the subsurface rocks [10], discretizing the complexly tuned reflection and boosting the higher frequency content from the seismic data. Spectral decomposition has been used over the years as a way of qualitatively interpreting seismic data [11], [12], [13], [14], [15], [10]. Spectral decomposition is used in detecting stratigraphic features, such as channels, and thin beds beyond seismic resolution.…”
Section: Introductionmentioning
confidence: 99%