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

被引:32
作者
Guo, Qiang [1 ,2 ]
Ba, Jing [1 ]
Luo, Cong [1 ]
Pang, Mengqiang [1 ]
机构
[1] Hohai Univ, Sch Earth Sci & Engn, Nanjing, Peoples R China
[2] China Jiliang Univ, Coll Informat Engn, Hangzhou, Peoples R China
基金
中国博士后科学基金;
关键词
Tight sandstone reservoir; Seismic rock physics inversion; Pore aspect ratio; Reservoir parameters; Gaussian mixture model; ELASTIC PROPERTIES; FLUID PREDICTION; VELOCITY; POROSITY; MODEL; LITHOLOGY; IMPEDANCE; MATRIX; MEDIA; WAVES;
D O I
10.1016/j.petrol.2021.109131
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Reservoir parameters, such as porosity, saturation, and clay volume, are directly related to the hydrocarbonbearing 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.
引用
收藏
页数:11
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