Subsurface Channel Detection Using Color Blending of Seismic Attribute Volumes

Cao, Jin; Yang, Yuexiang; Zhang, Kunyu; Yang, Jucheng; Zhang, Xiankun

doi:10.14257/ijsip.2015.8.12.16

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…Sandstones and claystones are the main infill rock types of paleo channels [39]. Each of these lithotypes has different responses to compaction, hence the lateral changes that accompany compaction of a rock volume as it lithifies in a channel depends on the type of lithology [40,41].…”

Section: Although the Resolution Of The Mexicat-hat Andmentioning

confidence: 99%

Application of Spectral Decomposition and Seismic Attributes For Channel Geometry and Infill Lithology Determination: A Case Study from The Southern North Sea Basin

Samuel¹,

Ombu²

2019

Int J Earth Sci Geophys

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In the Southern North Sea, 3D seismic data had been widely acquired to explore for hydrocarbons, but interpretations of these datasets until now focus mainly on the deep exploration targets of the petroleum companies. Less attention is given to shallow sediments. But these sediments often contain channels that can serve as efficient stratigraphic traps for shallow gas. Thus the mapping and identification of these shallow channels and defining their infill lithology is important considering the abundance of shallow gas and its significance both as a ressource and hazard. In this study, seismic spectral decomposition technique has been used to delineate shallow thin channel geometry in a 3D seismic data acquired in the Dutch sector of the North Sea. The concurrent interpretation of curvature and coherence cubes with seismic facies analysis based on reflection terminations and geometry, amplitude and continuity enables the discrimination between shale versus sand filled channels. The results of the spectral decomposition show two distinct low sinuosity channel features in NNE-SSW direction but becomes diffuse towards the North. The strong negative curvature anomaly along the channels axes observed in the most negative curvature attribute implies that the sediments within the channels have undergone more compaction. These strong negative curvature anomalies are interpreted to be due to differential compaction of shale filled non productive channels.

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Section: Although the Resolution Of The Mexicat-hat Andmentioning

confidence: 99%

Application of Spectral Decomposition and Seismic Attributes For Channel Geometry and Infill Lithology Determination: A Case Study from The Southern North Sea Basin

Samuel¹,

Ombu²

2019

Int J Earth Sci Geophys

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“…Color is commonly and effectively used to encode information in the most application of scientific visualization (Das, et al, 2015). Red, green, and blue are called primary components of RGB model and each of the components can have an arbitrary intensity from fully off to fully on, RGB also produces secondary colors formed by the additive blending (Cao, et al, 2015). The use of frequency decomposition color blending has become commonplace in the analysis of stratigraphic formations from 3D seismic data (McArdle and Ackers, 2012).…”

Section: Methodsmentioning

confidence: 99%

Application of Spectral Decomposition and RGB Blending for Delineation of “S” Channel At Asri Basin

Piranti

Zulivandama²,

Aryanto³

et al. 2020

BoMG

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Gita member is part of Talang Akar Formation is known as hydrocarbon reservoir at Asri Basin, eastern part of South Sumatra. This formation consists of several depositional systems such as braided channel, meandering channel, fluvial-deltaic, and estuarine system. A channel system was an interesting system developed in the Asri Basin, however, to get the channel distribution in Asri Basin is quite challenging because the thickness of the channels caused its appearance is generally close or under seismic resolution, the existence of coal below our target also affects the impression of “S” sand on seismic data. In this study, spectral decomposition and RGB Blending have been successful to identify “S” sand. RGB Blending map is extracted from 15 Hz as low frequency, 45 Hz as middle frequency, and 75 Hz as high frequency. Our interpretation was applied at RGB Blending map and reveal the “S” sand is classified as a meandering channel depositional system with the main direction of the channel is Northeast – Southwest.

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“…Henderson et al ( 2008) recommend the red-green-blue (RGB) blending method because it blends seismic attributes and allows for better visualization of geological features using its opacity scales. It is possible to outline a 3D object using seismic volume rendering or RGB blending, and then input the outline into the calculation of volumetrics (Chaves et al, 2011;Li et al, 2013;Torrado et al, 2014;Cao et al, 2015;Haris et al, 2017;Okiongbo and Ombu, 2019).…”

Section: V) Spectral Decomposition Attribute Extractions (Sdae)mentioning

confidence: 99%

Improved Reservoir Mapping and Gas Initial in Place Estimation through Broadening the Frequency Spectrum of Seismic Data, East Mediterranean, Egypt

Attia,

Helal,

Rawy

2024

Preprint

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In recent years, the East Mediterranean region of Egypt has garnered significant attention due to its abundant hydrocarbon resources. One of the key challenges faced by the exploration and development of these reserves is the complex reservoir sequence developed during the Pliocene-Pleistocene period. This complexity has resulted in inconsistencies between the static volumes computed for different Direct Hydrocarbon Indicator (DHI) and those generated through dynamic modeling. These inconsistencies have led to an underestimate of the gas volumes in certain gas-producing levels, hindering accurate reserve estimation. In an effort to address this issue, this paper aims to expand and enhance the frequency spectrum of seismic data to improve seismic data resolution hence image the complexity of the reservoir. To achieve this objective, several techniques are presented that seismic colored inversion (CI), seismic spectral blueing (SSB), and spectral decomposition attribute extractions. By increasing the frequency bandwidth of the seismic data, these techniques enhance the resolution of seismic attributes and improve the accuracy of reservoir characterization. The implementation of seismic CI and SSB techniques has been revealed successfully increase the vertical resolution of seismic data from 31 meters to 17 meters using SSB and to 23 meters using CI. These improvements have positively matched drilled wells, providing a more accurate estimate of the hydrocarbon reserves.

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Subsurface Channel Detection Using Color Blending of Seismic Attribute Volumes

Abstract: Color is the critical factor in seismic data interpretation and geological targets visualization. And

Cited by 10 publications

References 12 publications

Application of Spectral Decomposition and Seismic Attributes For Channel Geometry and Infill Lithology Determination: A Case Study from The Southern North Sea Basin

Application of Spectral Decomposition and Seismic Attributes For Channel Geometry and Infill Lithology Determination: A Case Study from The Southern North Sea Basin

Application of Spectral Decomposition and RGB Blending for Delineation of “S” Channel At Asri Basin

Improved Reservoir Mapping and Gas Initial in Place Estimation through Broadening the Frequency Spectrum of Seismic Data, East Mediterranean, Egypt

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