SEG Technical Program Expanded Abstracts 2005 2005
DOI: 10.1190/1.2142220
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QVOA analysis as an instrument for fracture characterization

Abstract: We present a method for estimation of preferred P-wave attenuation direction in fractured media based on azimuthally varying attenuation. The method can be applied to Q-estimates extracted from multi-azimuthal 3D seismic data involving surface reflection data and VSP. The method proposed is called QVOA analysis (that means variation of attenuation, or seismic quality factor Q, versus offset and azimuth); it is based on an analytical expression for P-wave attenuation as a function of wavepropagation direction i… Show more

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Cited by 8 publications
(8 citation statements)
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“…As shown in Figure 2, the dependence of on sin 2 can differ from the quadratic dependence prescribed by (6). There are two ways to take this discrepancy into account.…”
Section: Qvoa Techniquesmentioning
confidence: 99%
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“…As shown in Figure 2, the dependence of on sin 2 can differ from the quadratic dependence prescribed by (6). There are two ways to take this discrepancy into account.…”
Section: Qvoa Techniquesmentioning
confidence: 99%
“…There are two ways to take this discrepancy into account. The first is to formally add a term (6). This leads to solving a nonlinear system of 11 equations in the leastsquares method.…”
Section: Qvoa Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…Zhu (2004; studied the attenuation in the fractured model by using the Thomsen theory. Chichinina (2004;2005) proposed a theory called "QVOA" (seismic quality factor Q versus offset and azimuth) to study the characteristics of the fractured media, and gave the relationships among the parameters of the anisotropy. Chapman (2003) and Liu (2006) did some research on kinematic and dynamic anisotropy.…”
Section: Introductionmentioning
confidence: 99%
“…At the 75 th Annual SEG Meeting several authors (e.g. Chichinina et al, 2005;Gray, 2005;Maultzsch, 2005) presented their investigations of Q-anisotropy. Could some of this observed offset dependence be explained by Q-anisotropy?…”
Section: Introductionmentioning
confidence: 99%