Abstract

Previous work has demonstrated that seismic velocity dispersion is often related to a hydrocarbon-saturated reservoir with a high value of attenuation. The velocity dispersion properties can be used as new hydrocarbon indicators if they can be estimated quantitatively from seismic data. In this context, based on the assumption that the reflection coefficient of the interface between dispersive media varies with frequency, we propose an approximation of the reflection coefficient which involves the dispersion-dependent attributes indicating the level and gradient of P-wave velocity dispersion. We develop a new generalization of an AVO inversion scheme to extract the dispersion-dependent attributes from multi-frequency prestack seismic data obtained by the Morlet wavelet decomposition method. The method test and real application show that the dispersion-dependent attributes have the potential to be useful in the discrimination of hydrocarbon accumulation. However, the hydrocarbon detection quality of the dispersion-dependent attributes can be degraded by the inverse Q-filtering procedure which compensates the high-frequency amplitudes.

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