Abstract
To improve the stacking effect in seismic signal processing, we use a weighted stack algorithm that considers the differences in signal-to-noise ratios (SNR) between seismic traces. The statistical properties of the weights in this weighted stack algorithm, such as variance and standard deviation, are the same as those of the SNR in each trace. We propose using a windowing technique to expand the weight in each seismic trace in “time,” resulting in a two-dimensional weight that varies with both “space” and “time.” A simulation test is conducted under the same conditions. The result shows that the improved two-dimensional weight is more effective. Then, we apply the two-dimensional weight to the multiple detection technique and the multiple coverage technique to determine the optimal condition for the use of such a weighted stack; we find that it is most effective when there are differences in the SNRs or regular noise interference in each seismic trace. It is thus clear that our weighted stack algorithm is more suitable for the multiple coverage techniques.
Similar content being viewed by others
References
Chang XW, Guan YJ et al (1996) Stacking based on correlation saving frequency. Oil Geophys Prospect 31:110–113 (in Chinese)
Grion S, Mazzotti A (1998) Stacking weights determination by means of SVD and cross-correlation. In: 68th annual international meeting, SEG, expanded abstracts, pp 1135–1138
Mo YG, Duan WX et al (2008) Briefly analyzing relationship between folds and S/N ratio. Oil Geophys Prospect 43(Supplement 2):77–79 (in Chinese)
Niu C (2006) Research of estimation of SNR on the seismic record. Dissertation, Chengdu University of Technology (in Chinese)
Pruett RC (1982) Long period multiple reflection suppression and enhanced velocity discrimination using a weighted stack. In: 52th annual international meeting, SEG, expanded abstracts, pp 10–12
Robinson JC (1970) Statistically optimal stacking of seismic data. Geophysics 35(3):436–446
Sanchis C (2011) Enhanced local correlation stacking method. Geophysics 76(3):33–45
Trickett S (2007) Maximum-likelihood-estimation stacking: In: 77th annual international meeting, SEG, expanded abstracts, pp 2640–2643
Watt T, Bednar JB (1983) Role of the alpha-trimmed mean in combining and analyzing seismic common-depth-point gathers. In: 53th annual international meeting, SEG, expanded abstracts, pp 276–277
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, G., Tuo, X., Wang, K. et al. Two-dimensional weighted stack determination using signal-to-noise ratios and probability statistics. Acta Geod Geophys 49, 431–440 (2014). https://doi.org/10.1007/s40328-014-0073-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40328-014-0073-5