| Qingdao Institute of marine geology, China Geological Survey | Host |
| Citation: |
CHEN Yalin. QUANTITATIVE PREDICTION TECHNIQUE FOR GAS CONTENT AND ITS APPLICATION TO JIAOSHIBA AREA OF FULING SHALE GASFIELD, SICHUAN BASIN[J]. Marine Geology Frontiers, 2017, 33(1): 53-61. doi: 10.16028/j.1009-2722.2017.01007
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QUANTITATIVE PREDICTION TECHNIQUE FOR GAS CONTENT AND ITS APPLICATION TO JIAOSHIBA AREA OF FULING SHALE GASFIELD, SICHUAN BASIN
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Abstract
Gas content is an important index for evaluating resource potential of shale gas. Up to date, the seismic method has been adopted as the main tool for shale gas evaluation. However, it is mostly qualitative. There is so far no matured method for quantitative prediction of shale gas based on seismic data. Through the mathematical statistics of the core-measured gas content and other geophysical parameters, we selected 4 elastic parameters, namely the density, P-wave impedance, P-S wave velocity ratio and λρand established a multiple linear regression model suitable for the Jianshiba shale gas field. The density, P-wave impedance and other relevant elastic parameters are obtained through pre-stack simultaneous inversion. And quantitative prediction of gas content is made upon the results. The predicted and the measured values of gas content match well and have little errors. It is found out in this paper that the 1st Submember at the bottom of the Longmaxi Formation-Wufeng Fomation has higher gas content, and is the most favorable producing layer in the region.
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References
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CHEN Yalin. QUANTITATIVE PREDICTION TECHNIQUE FOR GAS CONTENT AND ITS APPLICATION TO JIAOSHIBA AREA OF FULING SHALE GASFIELD, SICHUAN BASIN[J]. Marine Geology Frontiers, 2017, 33(1): 53-61. doi: 10.16028/j.1009-2722.2017.01007
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Figure 1.
Integrated column of Lower Wufeng-Longmaxi Formations
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Figure 2.
Crossplot of sensitive elastic parameters of gas content
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Figure 3.
Histogram of standardized residuals
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Figure 4.
Scatter diagram of standardized residuals vs. standardized predicted value
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Figure 5.
Comparison between predicted and measured gas content
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Figure 6.
Contrast diagram of pre stack optimization
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Figure 7.
Gas content prediction profile of multiple wells
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Figure 8.
Shale gas content prediction map of the 1st submember of the Longmaxi-Wufeng Fomations in Jiaoshiba areas