Coherence attribute at different spectral scales

Li, Fangyu; Lu, Wenkai

doi:10.1190/int-2013-0089.1

Cited by 97 publications

(22 citation statements)

References 22 publications

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“…Case studies (Sun et al, 2010;Li and Lu, 2014) have demonstrated that a combination of spectral decomposition and coherence improves the detection of structural features. Sun et al (2010) use discrete frequency coherence cubes to detect fractures in volcanic rocks.…”

Section: Seismic Attribute Methodologymentioning

confidence: 97%

“…This enables the detection of subtle structural and stratigraphic features that are carried by certain frequency components and that normally would be buried within broadband data (Li and Lu, 2014). Other applications, in addition to imaging geologic discontinuities, are mapping variation in thickness and the quantitative prediction of bedding thickness (Partyka et al, 1999).…”

Section: Seismic Attribute Methodologymentioning

confidence: 98%

See 1 more Smart Citation

Interpretation of fractured zones using seismic attributes — Case study from Teapot Dome, Wyoming, USA

Schneider

Eichkitz²,

Schreilechner³

et al. 2016

Interpretation

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We have used poststack seismic attributes to describe the fracture network of the naturally fractured Tensleep Formation at Teapot Dome, Wyoming, USA. The attributes include coherence, coherence based on spectral decomposed seismic data, attributes based on curvature, and textural attributes based on the gray-level co-occurrence matrix (GLCM). Results were compared with image log interpretations of four wells. Seismic attribute analysis allowed determination of strikes and dips as well as the intensity of fractures. The GLCMbased attributes proved especially valuable for building a discrete fracture network.

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Section: Seismic Attribute Methodologymentioning

confidence: 97%

Section: Seismic Attribute Methodologymentioning

confidence: 98%

Interpretation of fractured zones using seismic attributes — Case study from Teapot Dome, Wyoming, USA

Schneider

Eichkitz²,

Schreilechner³

et al. 2016

Interpretation

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show abstract

“…In our matching pursuit scheme, the scale parameter σ that controls the width of a These three methods have been widely used in practical applications of seismic data processing, such as the detection of reservoir shadows [44,53], thin-layer estimation [46], and seismic inversion in attenuating media [67]. More examples for applications of time-frequency decomposition can be found in [10,11,49,[68][69][70][71][72][73][74][75]. In particular, Wang developed a multi-channel MP that uses lateral coherence to improve the horizontal consistency [53].…”

Section: Matching Pursuitmentioning

confidence: 99%

Spectral Decomposition and a Waveform Cluster to Characterize Strongly Heterogeneous Paleokarst Reservoirs in the Tarim Basin, China

Shan

Tian

Fang

et al. 2019

Water

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The main components of the Ordovician carbonate reservoirs in the Tahe Oilfield are paleokarst fracture-cavity paleo-channel systems formed by karstification. Detailed characterization of these paleokarst reservoirs is challenging because of heterogeneities in characteristics and strong vertical and lateral non-uniformities. Traditional seismic analysis methods are not able to solve the identification problem of such strongly heterogeneous reservoirs. Recent developments in seismic interpretation have heightened the need to describe the fracture-cavity structure of a paleo-channel with more accuracy. We propose a new prediction model for fracture-cavity carbonate reservoirs based on spectral decomposition and a waveform cluster. By the Matching Pursuit decomposition algorithm, the single-frequency data volumes are obtained. The specific frequency data volume that is the most sensitive to the reservoir is chosen based on seismic synthesis traces of well-logging data and geological interpretability. The waveform cluster is then applied to delineate the complex paleokarst systems, particularly the fracture-caves in the runoff zone. This method was applied to the area around Well T615 in the Tahe oilfield, and a paleokarst fracture-cavity system with strong heterogeneity in the runoff zone was delineated and characterized. The findings of this research provide insights for predicting other similar karst systems, such as karstic groundwater and karst hydrogeological systems.

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“…After examining the seismic trace passing through the well location, we apply the VMD method on the whole seismic volume. Spectral decomposition methods can produce multi spectral components to highlight certain scale geological structures (Li and Lu, 2014). So, we expect IMF volumes from VMD can also reveal some geological information.…”

Section: Field Applicationmentioning

confidence: 99%

Lateral consistency preserved variational mode decomposition (VMD)

Zhao

Xuan

et al. 2016

SEG Technical Program Expanded Abstracts 2016

Self Cite

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Seismic decomposition discriminates different geological expressions by isolating seismic signals of particular frequency ranges. As a novel signal decomposition method, Variational mode decomposition (VMD) exhibits advanced features compared with the classic Empirical Mode Decomposition (EMD) method. VMD can resolve the instinct mode functions (IMFs) more robust and reasonably. Besides a synthetic example, we show a field application of the VMD in sedimentary cycle identification. However, like other high resolution decomposition method, traditional VMD also decomposes data trace by trace, which would result in poor lateral consistency. In order to appropriately apply it on seismic data, a lateral consistency preserved VMD method is proposed to meet the challenges of seismic application, which has been verified through field applications to be valuable for further analyses.

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Coherence attribute at different spectral scales

Cited by 97 publications

References 22 publications

Interpretation of fractured zones using seismic attributes — Case study from Teapot Dome, Wyoming, USA

Interpretation of fractured zones using seismic attributes — Case study from Teapot Dome, Wyoming, USA

Spectral Decomposition and a Waveform Cluster to Characterize Strongly Heterogeneous Paleokarst Reservoirs in the Tarim Basin, China

Lateral consistency preserved variational mode decomposition (VMD)

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