SIGNAL to NOISE RATIO LAND SEISMIC DATA
Freelance Geophysical Consultants Ltd.can remotely fetch and analyzed navigation SEG-D data with geometry, and provides with full comprehensive report about the daily acquired data.The signal-to-noise ratio (SNR) is an important factor for measurement precision.
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.
Additionally, seismic signals are superposed and, in the case of low signal-to-noise ratio (SNR), sometimes completely masked by seismic noise. Therefore, one of the main issues in applied seismology is to ensure high SNR or, where conditions are bad, to improve it by suitable ways of data acquisition and processing. The success of SNR improvement largely depends on our understanding of the ways in which seismic signals and noise differ.