Fractures Detection Using Multi‐Azimuth Diffractions Focusing Measure: Is it Feasible?

Al-Dajani, AbdulFattah; Fomel, Sergey

doi:10.1190/1.3513443

Cited by 13 publications

(9 citation statements)

References 11 publications

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“…Their method operates on post-stack data, as they show that diffractions are highly sensitive to migration velocity, even in the zero-offset case. Al-Dajani and Fomel (2010) have successfully demonstrated zero-offset diffraction image focusing as a fracture detection attribute on azimuth-sectored 3D field data. Our proposed method uses multi-azimuth image focusing primarily as a velocity analysis criterion, but kurtosis could also be used as an image attribute.…”

Section: Discussionmentioning

confidence: 99%

“…Our proposed method uses multi-azimuth image focusing primarily as a velocity analysis criterion, but kurtosis could also be used as an image attribute. In cases where subsurface fractures cause azimuthal anisotropy, kurtosis as an attribute may be indicative of fracture intensity (Al-Dajani and Fomel, 2010). By applying velocity continuation to 3D diffraction imaging, one may be able to estimate both the orientation and the intensity of fractures from the resulting anisotropic velocity model and maximum kurtosis volumes, respectively.…”

Section: Discussionmentioning

confidence: 99%

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Azimuthally anisotropic 3D velocity continuation

Burnett

Fomel

2010

SEG Technical Program Expanded Abstracts 2010

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We extend time-domain velocity continuation to the zero-offset 3D azimuthally anisotropic case. Velocity continuation describes how a seismic image changes given a change in migration velocity. This description turns out to be of a wave propagation process, in which images change along a velocity axis. In the anisotropic case, the velocity model is multi-parameter. Therefore, anisotropic image propagation is multi-dimensional. We use a three-parameter slowness model, which is related to azimuthal variations in velocity, as well as their principal directions. This information is useful for fracture and reservoir characterization from seismic data. We provide synthetic diffraction imaging examples to illustrate the concept and potential applications of azimuthal velocity continuation and to analyze the impulse response of the 3D velocity continuation operator.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Azimuthally anisotropic 3D velocity continuation

Burnett

Fomel

2010

SEG Technical Program Expanded Abstracts 2010

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“…Our proposed method uses multiazimuth image focusing primarily as a velocity analysis criterion, but kurtosis could also be used as an image attribute. In cases where subsurface fractures cause azimuthal anisotropy, kurtosis as an attribute may be indicative of fracture intensity [38]. By applying velocity continuation to 3D diffraction imaging, one may be able to estimate both the orientation and the intensity of fractures from the resulting anisotropic velocity model and maximum kurtosis volumes, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Their method operates on post-stack data, as they show that diffractions are highly sensitive to migration velocity, even in the zero-offset case. Al-Dajani and Fomel [38] have successfully demonstrated zero-offset diffraction image focusing as a fracture detection attribute on azimuth-sectored 3D field data. Our proposed method uses multiazimuth image focusing primarily as a velocity analysis criterion, but kurtosis could also be used as an image attribute.…”

Section: Discussionmentioning

confidence: 99%

Azimuthally Anisotropic 3D Velocity Continuation

Burnett

Fomel

2011

International Journal of Geophysics

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We extend time-domain velocity continuation to the zero-offset 3D azimuthally anisotropic case. Velocity continuation describes how a seismic image changes given a change in migration velocity. This description turns out to be of a wave propagation process, in which images change along a velocity axis. In the anisotropic case, the velocity model is multiparameter. Therefore, anisotropic image propagation is multidimensional. We use a three-parameter slowness model, which is related to azimuthal variations in velocity, as well as their principal directions. This information is useful for fracture and reservoir characterization from seismic data. We provide synthetic diffraction imaging examples to illustrate the concept and potential applications of azimuthal velocity continuation and to analyze the impulse response of the 3D velocity continuation operator.

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“…Many approaches and applications have been developed for diffraction imaging. The key applications of diffractions are for detections of faults and fractures (Khaidukov et al, 2004;Cheng and Hilterman, 2007;Al-Dajani and Fomel, 2010;Zhu and Wu, 2010) and migration velocity analysis (Harlan et al, 1984;Soellner, and Yang, 2002;Sava et al, 2005;Fomel et al, 2007;Landa and Fomel, 2008;Reshef and Landa, 2009 Currently, all the reported examples are petroleum exploration oriented, where targets are relatively deep and the seismic frequencies are relatively low around 10 -60 Hz. In this paper, we apply the diffraction imaging techniques to enhance the detectability of small faults for coal seismic environments and demonstrate the feasibility of a new fault imaging method with numerical examples.…”

Section: Introductionmentioning

confidence: 99%