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Seismic rock physics inversion with varying pore aspect ratio in tight sandstone reservoirs.

Authors :
Guo, Qiang
Ba, Jing
Luo, Cong
Pang, Mengqiang
Source :
Journal of Petroleum Science & Engineering. Dec2021, Vol. 207, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Reservoir parameters, such as porosity, saturation, and clay volume, are directly related to the hydrocarbon-bearing properties of potential reservoirs, of which estimation is one of the ultimate goals of data processing for seismic exploration. However, the complex pore structure of tight sandstone presents difficulty in evaluating reservoir properties. This study proposes a novel reservoir parameter inversion method intended for tight sandstone reservoirs. The method builds the forward operator by combining the rock physics model and the seismic reflectivity equation, enabling the direct inversion of reservoir parameters from observed seismic data. In particular, the (sand- and clay-related) pore aspect ratios of rock frame are treated as internal variables, which are iteratively updated during the inversion process. The varying aspect ratios address the complex pore structure, which facilitates the improved accuracy in rock physics modeling of tight sandstone reservoirs. Besides, the Bayesian inversion constrained by the prior Gaussian mixture model considers the complex prior distributions of reservoir parameters in different lithofacies, which stabilizes the inversion process and achieves the optimal solution. The method is tested by the synthetic data which exhibits less uncertainty. The application to the field data from tight sandstone gas reservoirs in southwestern China demonstrates the method has the good capability of indicating the gas-bearing areas. • Seismic rock physics inversion method is proposed for tight sandstone reservoirs. • Reservoir property parameters can be directly inverted from seismic data. • Varying pore aspect ratio describes the complex pore structures in the inversion. • The estimated reservoir parameters can be good indicators for gas-bearing areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09204105
Volume :
207
Database :
Academic Search Index
Journal :
Journal of Petroleum Science & Engineering
Publication Type :
Academic Journal
Accession number :
151979211
Full Text :
https://doi.org/10.1016/j.petrol.2021.109131