Petroleum Science >2024, Issue1: - DOI: https://doi.org/10.1016/j.petsci.2023.09.017
Multi-scale data joint inversion of minerals and porosity in altered igneous reservoirs—A case study in the South China Sea Open Access
文章信息
作者:Xin-Ru Wang, Bao-Zhi Pan, Yu-Hang Guo, Qing-Hui Wang, Yao Guan
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引用方式:Xin-Ru Wang, Bao-Zhi Pan, Yu-Hang Guo, Qing-Hui Wang, Yao Guan, Multi-scale data joint inversion of minerals and porosity in altered igneous reservoirs—A case study in the South China Sea, Petroleum Science, Volume 21, Issue 1, 2024, Pages 206-220, https://doi.org/10.1016/j.petsci.2023.09.017.
文章摘要
Abstract: There are abundant igneous gas reservoirs in the South China Sea with significant value of research, and lithology classification, mineral analysis and porosity inversion are important links in reservoir evaluation. However, affected by the diverse lithology, complicated mineral and widespread alteration, conventional logging lithology classification and mineral inversion become considerably difficult. At the same time, owing to the limitation of the wireline log response equation, the quantity and accuracy of minerals can hardly meet the exploration requirements of igneous formations. To overcome those issues, this study takes the South China Sea as an example, and combines multi-scale data such as micro rock slices, petrophysical experiments, wireline log and element cutting log to establish a set of joint inversion methods for minerals and porosity of altered igneous rocks. Specifically, we define the lithology and mineral characteristics through core slices and mineral data, and establish an igneous multi-mineral volumetric model. Then we determine element cutting log correction method based on core element data, and combine wireline log and corrected element cutting log to perform the lithology classification and joint inversion of minerals and porosity. However, it is always difficult to determine the elemental eigenvalues of different minerals in inversion. This paper uses multiple linear regression methods to solve this problem. Finally, an integrated inversion technique for altered igneous formations was developed. The results show that the corrected element cutting log are in good agreement with the core element data, and the mineral and porosity results obtained from the joint inversion based on the wireline log and corrected element cutting log are also in good agreement with the core data from X-ray diffraction. The results demonstrate that the inversion technique is applicable and this study provides a new direction for the mineral inversion research of altered igneous formations.
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Keywords: Joint inversion; Altered igneous rock; Element correction method; Lithology identification; Multi mineral volume model