Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute
Pores and microfractures provide storage spaces and migration pathways for gas accumulation in tight sandstones with low porosity and permeability, acting as one of the controlling factors of gas production. The development of a rational rock physics model is essential for better understanding the e...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/2/289 |
| _version_ | 1827622324133691392 |
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| author | Zhiqi Guo Xiaoying Qin Cai Liu |
| author_facet | Zhiqi Guo Xiaoying Qin Cai Liu |
| author_sort | Zhiqi Guo |
| collection | DOAJ |
| description | Pores and microfractures provide storage spaces and migration pathways for gas accumulation in tight sandstones with low porosity and permeability, acting as one of the controlling factors of gas production. The development of a rational rock physics model is essential for better understanding the elastic responses of tight sandstone with complex pore structures. Accordingly, seismic characterization of pores and microfractures based on the rock physics model provides valuable information in predicting high-quality tight gas sandstone reservoirs. This paper proposes a rock-physics-based approach to compute the pore–microfracture indicator (PMI) from elastic properties for pore structure evaluation in tight sandstones. The PMI is achieved based on the axis rotation of the elastic parameter space using well-log data. The rotation angle is determined by finding the maximum correlation between the linearized combination of the elastic parameters and the introduced factor associated with total porosity and microfracture porosity. The microfracture porosity is then estimated with an inversion scheme based on the double-porosity model. Finally, the optimized rotation angle is employed to compute the PMI with seismic data. The obtained results are of great benefit in predicting the permeable zones, providing valuable information for sweet spot characterization in tight gas sandstone reservoirs. |
| first_indexed | 2024-03-09T11:20:50Z |
| format | Article |
| id | doaj.art-02e6ac70ba7a4bec972c9e5c6a8ba7fd |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T11:20:50Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-02e6ac70ba7a4bec972c9e5c6a8ba7fd2023-12-01T00:18:19ZengMDPI AGRemote Sensing2072-42922023-01-0115228910.3390/rs15020289Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic AttributeZhiqi Guo0Xiaoying Qin1Cai Liu2College of Geoexploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Geoexploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Geoexploration Science and Technology, Jilin University, Changchun 130021, ChinaPores and microfractures provide storage spaces and migration pathways for gas accumulation in tight sandstones with low porosity and permeability, acting as one of the controlling factors of gas production. The development of a rational rock physics model is essential for better understanding the elastic responses of tight sandstone with complex pore structures. Accordingly, seismic characterization of pores and microfractures based on the rock physics model provides valuable information in predicting high-quality tight gas sandstone reservoirs. This paper proposes a rock-physics-based approach to compute the pore–microfracture indicator (PMI) from elastic properties for pore structure evaluation in tight sandstones. The PMI is achieved based on the axis rotation of the elastic parameter space using well-log data. The rotation angle is determined by finding the maximum correlation between the linearized combination of the elastic parameters and the introduced factor associated with total porosity and microfracture porosity. The microfracture porosity is then estimated with an inversion scheme based on the double-porosity model. Finally, the optimized rotation angle is employed to compute the PMI with seismic data. The obtained results are of great benefit in predicting the permeable zones, providing valuable information for sweet spot characterization in tight gas sandstone reservoirs.https://www.mdpi.com/2072-4292/15/2/289pore–microfracture indicator (PMI)tight gas sandstone reservoirdouble-porosity modelmicrofracture porosity predictionquantitative seismic interpretation |
| spellingShingle | Zhiqi Guo Xiaoying Qin Cai Liu Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute Remote Sensing pore–microfracture indicator (PMI) tight gas sandstone reservoir double-porosity model microfracture porosity prediction quantitative seismic interpretation |
| title | Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute |
| title_full | Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute |
| title_fullStr | Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute |
| title_full_unstemmed | Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute |
| title_short | Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute |
| title_sort | pore and microfracture characterization in tight gas sandstone reservoirs with a new rock physics based seismic attribute |
| topic | pore–microfracture indicator (PMI) tight gas sandstone reservoir double-porosity model microfracture porosity prediction quantitative seismic interpretation |
| url | https://www.mdpi.com/2072-4292/15/2/289 |
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