Tight sandstone fluid detection technology based on multi-wave seismic data

The SX area of the Ordos Basin in China is characterized by small thickness and considerable lateral variation of the reservoir, and high heterogeneity. It is difficult to identify gas and water by conventional P-wave seismic data without fully utilizing reservoir P-wave and S-wave information. Ther...

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Bibliographic Details
Published in:Open Geosciences 2024-12, Vol.16 (1), p.1-13
Main Authors: Yutan, Dou, Daxing, Wang, Mengbo, Zhang, Fei, Li, Guanghong, Du, Yonggang, Wang, Yuhua, Zhao, Feng, Liu, Yan, Huang, Jie, Zhang, Xiaojie, Cui, Ligang, Huang, Jun, Zhu
Format: Article
Language:English
Subjects:
AVO
compression correlation
Correlation analysis
fluid detection
Heterogeneity
Lithology
multi-wave
multi-wave pre-stack simultaneous inversion
Reservoirs
Sandstone
tight gas
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Summary:The SX area of the Ordos Basin in China is characterized by small thickness and considerable lateral variation of the reservoir, and high heterogeneity. It is difficult to identify gas and water by conventional P-wave seismic data without fully utilizing reservoir P-wave and S-wave information. Therefore, this study forms a series of seismic fluid detection technologies based on multi-wave seismic data, including the multi-wave “bright spot” feature analysis, multi-wave amplitude ratio technique, multi-wave amplitude versus offset analysis, multi-wave matched compression correlation analysis, and multi-wave pre-stack simultaneous inversion. The combined application of P- and S-waves facilitates visualized identification of fluids and improves the success rate of seismic prediction of underground gas-bearing features. The multi-wave interpretation technology series for low-permeability lithological gas reservoirs formed in this area has achieved a transformation from qualitative interpretation to quantitative prediction, and from lithological identification to fluid detection. These technologies have achieved significant geological results in the SX area.
ISSN:2391-5447
2391-5447
DOI:10.1515/geo-2022-0727