An Application of Spearman’s Rho in Blind Deconvolution of Seismic Data
Rongrong Wang, Fei Xu, Xiaobo Zhou
Available Online May 2016.
- https://doi.org/10.2991/icemc-16.2016.182How to use a DOI?
- Spearman’s rho; Seismic wavelet; Blind deonvolution; Mutual information; Inverse filter
- The paper proposes a novel seismic blind deconvolution approach based on the Spearman’s rho in the case of band-limited seismic data with a low dominant frequency and short data records. The spearman’s rho is a measure of the dependence between two continuous random variables without the influence of the marginal distributions, by which a new criterion for blind deconvolution is constructed. The optimization program for new criterion of blind deconvolution is performed by applying Neidell’s wavelet model to the inverse filter. The simulation test and actual seismic data processing results show that this method can effectively expand the frequency band of seismic records, and enhance the resolution of seismic date.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Rongrong Wang AU - Fei Xu AU - Xiaobo Zhou PY - 2016/05 DA - 2016/05 TI - An Application of Spearman’s Rho in Blind Deconvolution of Seismic Data BT - Proceedings of the 2016 International Conference on Education, Management and Computer Science PB - Atlantis Press SP - 920 EP - 925 SN - 1951-6851 UR - https://doi.org/10.2991/icemc-16.2016.182 DO - https://doi.org/10.2991/icemc-16.2016.182 ID - Wang2016/05 ER -