Calculation method of the signal-to-noise ratio attribute of seismic data based on structural orientation*
Zhao Yan, Mao Ning-Bo, and Chen Xu
1. Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Ministry of Education,Wuhan, Hubei 430100, China.
2. School of Geophysics and Oil Resources, Yangtze University, Wuhan, Hubei 430100, China.
3. Institute of Mud Logging Technology and Engineering, Yangtze University, Jingzhou 434023, China.
Abstract：
At present, most signal-to-noise ratio (SNR) estimation methods can only calculate the global and not the local SNR of seismic data. This paper proposes a calculation method of a structure-oriented-based seismic SNR attribute. The purpose is to characterize the temporal and spatial variation of the seismic data SNR. First, the local slope parameters of the seismic events are calculated using a plane wave decomposition filter. Then, the singular value decomposition method is used to calculate the local seismic data SNR, thereby obtaining it in time and space. The proposed method overcomes the insufficiency of a conventional global SNR to characterize any local seismic data features and uses the SNR as an attribute of seismic data to more accurately describe the signal–noise energy distribution characteristics of seismic data in time and space. The results of a theoretical model test and real data processing show that the SNR attribute can be used not only for seismic data quality evaluation but also for analysis and evaluation of denoising methods.
. Calculation method of the signal-to-noise ratio attribute of seismic data based on structural orientation*[J]. APPLIED GEOPHYSICS, 2019, 16(4): 458-465.
2019, Vol. 16 
