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Fluid property discrimination by AVO inversion

Xin‐gang Chi, De‐hua Han

Open publisher page 6 citations

Abstract

Bayesian AVO inversion method is the developed prestack inversion technique for inverting seismic elastic parameters (p-wave velocity, s-wave velocity and density). The method is included AVO processing and analysis, well-log editing and calibration, and prestack seismic inversion. This analysis draws rock physics and Bayesian AVO inversion to discuss the fluid discriminator based on Bayesian inversion scheme. The fluid discriminator is calculated by Gassmann's equation. The uncertainty is analyzed in the inversion procedure for elastic parameters and modulus. The rock physics relationship and gain function are also used to calculate the fluid modulus. This method is applied to seismic data from the Gulf of Mexico. The result is inverted at the target horizons for the small 3D cubes around two wells. The fluid discriminator inverted from prestack seismic data is sensitive to the pore fluid content.

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What this paper is about

Bayesian AVO inversion method is the developed prestack inversion technique for inverting seismic elastic parameters (p-wave velocity, s-wave velocity and density). The method is included AVO processing and analysis, well-log editing and calibration, and prestack seismic inversion. This analysis draws rock physics and Bayesian AVO inversion to discuss the fluid discriminator based on Bayesian inversion scheme. The fluid discriminator is calculated by Gassmann's equation. The uncertainty is analyzed in the inversion procedure for elastic parameters and modulus. The rock physics relationship and gain function are also used to calculate the fluid modulus. This method is applied to seismic data from the Gulf of Mexico. The result is inverted at the target horizons for the small 3D cubes around two wells. The fluid discriminator inverted from prestack seismic data is sensitive to the pore fluid content.

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Available abstract

Bayesian AVO inversion method is the developed prestack inversion technique for inverting seismic elastic parameters (p-wave velocity, s-wave velocity and density). The method is included AVO processing and analysis, well-log editing and calibration, and prestack seismic inversion. This analysis draws rock physics and Bayesian AVO inversion to discuss the fluid discriminator based on Bayesian inversion scheme. The fluid discriminator is calculated by Gassmann's equation. The uncertainty is analyzed in the inversion procedure for elastic parameters and modulus. The rock physics relationship and gain function are also used to calculate the fluid modulus. This method is applied to seismic data from the Gulf of Mexico. The result is inverted at the target horizons for the small 3D cubes around two wells. The fluid discriminator inverted from prestack seismic data is sensitive to the pore fluid content.

Key concepts: Inversion (geology), Property (philosophy), Geology, Computer science, Seismology, Epistemology, Philosophy, Tectonics

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