Application of|seismic liquid identification method in prediction of shale gas “sweet spots” in Sichuan Basin
Huang Handong1, 2, Ji Yongzhen2, Zhang Cheng3, Liu Chenghan4
1 State Key Laboratory for Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249
2 Institute of Enhanced Oil Recovery, China University of Petroleum(Beijing), Beijing 102249
3 School of Geosciences, China University of Petroleum(East China), Qingdao 266580, Shandong
4 School of Geophysics and Resources of Yangtze University, Wuhan 430100, Hubei
The shale gas resource is abundant in China, but the exploration level is relatively low. High-precision liquid detection method based on seismic data is critical as there is few well data. Based on the seismic elastic wave equation, the liquid mobility factor formula is deduced and|the efficient exploration technique combined with high-precision time-frequency analysis algorithm is formed. The liquid mobility factor has a positive correlation with permeability, viscosity and density of reservoir. Based on the high-precision time-frequency analysis, the character of liquid is analysed, and the liquid mobility factor is calculated. Then, combined with well data, the range of factor in “sweet spot” area is guantified. The application in the Sichuan Basin demonstrates|the precision and efficiency of the method as the result is consistent with the test data of well. This method will play a significant guiding role in shale gas exploration.
About author: Huang Handong, born in 1964, graduated from Chengdu University of Technology with a doctoral degree in 2000. Now he is a professor of China University of Petroleum(Beijing), and is mainly engaged in complex reservoir prediction and liquid detection.
Cite this article:
Huang Handong,Ji Yongzhen,Zhang Cheng et al. Application of|seismic liquid identification method in prediction of shale gas “sweet spots” in Sichuan Basin[J]. JOPC, 2013, 15(5): 672-678.
Huang Handong,Ji Yongzhen,Zhang Cheng et al. Application of|seismic liquid identification method in prediction of shale gas “sweet spots” in Sichuan Basin[J]. JOPC, 2013, 15(5): 672-678.
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