| Signal-to-noise ratio application to seismic marker analysis and fracture detection |
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| 基金项目： | This work was supported by the National Natural Science Foundation of China （No. 41074104） and Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources （Yangtze University）, Ministry of Education （No. K2013-05）. |
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| 摘 要： | Seismic data with high signal-to-noise ratios （SNRs） are useful in reservoirexploration. To obtain high SNR seismic data, significant effort is required to achieve noiseattenuation in seismic data processing, which is costly in materials, and human and financialresources. We introduce a method for improving the SNR of seismic data. The SNR iscalculated by using the frequency domain method. Furthermore, we optimize and discussthe critical parameters and calculation procedure. We applied the proposed method on realdata and found that the SNR is high in the seismic marker and low in the fracture zone.Consequently, this can be used to extract detailed information about fracture zones that areinferred bv structural analysis but not observed in conventional seismic data.
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| 关 键 词： | fracture detection seismic marker SNR filtering |
Signal-to-noise ratio application to seismic marker analysis and fracture detection |
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| Authors: | Hui-Qun Xu Zhi-Xian Gui |
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| Institution: | 1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Hubei, Wuhan, 430100, China
2. School of Geophysics & Oil Resources, Yangtze University, Hubei, Wuhan, 430100, China
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| Abstract: | Seismic data with high signal-to-noise ratios (SNRs) are useful in reservoir exploration. To obtain high SNR seismic data, significant effort is required to achieve noise attenuation in seismic data processing, which is costly in materials, and human and financial resources. We introduce a method for improving the SNR of seismic data. The SNR is calculated by using the frequency domain method. Furthermore, we optimize and discuss the critical parameters and calculation procedure. We applied the proposed method on real data and found that the SNR is high in the seismic marker and low in the fracture zone. Consequently, this can be used to extract detailed information about fracture zones that are inferred by structural analysis but not observed in conventional seismic data. |
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