Petroleum Science >2020, Issue 3: 1- DOI: https://doi.org/10.1007/s12182-020-00440-2
A two-step method to apply Xu–Payne multi-porosity model to estimate pore type from seismic data for carbonate reservoirs Open Access
文章信息
作者:Hong-Bing Li, Jia-Jia Zhang, Sheng-Juan Cai & Hao-Jie Pan
作者单位:
Affiliations
Research Institute of Petroleum Exploration and Development, Petrochina Company Limited, Beijing, 100083, China
Hong-Bing Li, Sheng-Juan Cai & Hao-Jie Pan
School of Geosciences, China University of Petroleum (East China), Qingdao, 266580, China
Jia-Jia Zhang
Corresponding author
Correspondence to Hao-Jie Pan.
投稿时间:2020-3-27
引用方式:Li, H., Zhang, J., Cai, S. et al. A two-step method to apply Xu–Payne multi-porosity model to estimate pore type from seismic data for carbonate reservoirs. Pet. Sci. 17, 615–627 (2020). https://doi.org/10.1007/s12182-020-00440-2
文章摘要
Carbonate reservoirs exhibit strong heterogeneity in the distribution of pore types that can be quantitatively characterized by applying Xu–Payne multi-porosity model. However, there are some prerequisites to this model the porosity and saturation need to be provided. In general, these application conditions are difficult to satisfy for seismic data. In order to overcome this problem, we present a two-step method to estimate the porosity and saturation and pore type of carbonate reservoirs from seismic data. In step one, the pore space of the carbonate reservoir is equivalent to a single-porosity system with an effective pore aspect ratio; then, a 3D rock-physics template (RPT) is established through the Gassmann’s equations and effective medium models; and then, the effective aspect ratio of pore, porosity and fluid saturation are simultaneously estimated from the seismic data based on 3D RPT. In step two, the pore space of the carbonate reservoir is equivalent to a triple-porosity system. Combined with the inverted porosity and saturation in the first step, the porosities of three pore types can be inverted from the seismic elastic properties. The application results indicate that our method can obtain accurate physical properties consistent with logging data and ensure the reliability of characterization of pore type.
关键词
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Carbonate reservoirs;Pore type;Physical properties;Rock-physics modeling;Rock-physics inversion