Signal-to-noise ratio application to seismic marker analysis and fracture detection
Xu Hui-Qun1,2 and Gui Zhi-Xian1,2
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.
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.
XU Hui-Qun,GUI Zhi-Xian. Signal-to-noise ratio application to seismic marker analysis and fracture detection[J]. APPLIED GEOPHYSICS, 2014, 11(1): 73-79.
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2014, Vol. 11 
