next up previous [pdf]

Next: Introduction Up: Reproducible Documents

Published as Journal of Geophysics and Engineering, 11, 045012, (2014)

Deblending using normal moveout and median filtering in common-midpoint gathers

Yangkang Chen% latex2html id marker 2211
\setcounter{footnote}{1}\fnsymbol{footnote}, Jiang Yuan% latex2html id marker 2212
\setcounter{footnote}{2}\fnsymbol{footnote}, Zhaoyu Jin% latex2html id marker 2213
\setcounter{footnote}{3}\fnsymbol{footnote}, Keling Chen% latex2html id marker 2214
\setcounter{footnote}{4}\fnsymbol{footnote}and Lele Zhang% latex2html id marker 2215
% latex2html id marker 2216
\setcounter{footnote}{1}\fnsymbol{footnote}Bureau of Economic Geology,
Jackson School of Geosciences
The University of Texas at Austin
University Station, Box X
Austin, TX 78713-8924

% latex2html id marker 2217
\setcounter{footnote}{2}\fnsymbol{footnote}State Key Laboratory of Petroleum Resources and Prospecting
China University of Petroleum
Fuxue Road 18th
Beijing, China, 102200

% latex2html id marker 2218
\setcounter{footnote}{3}\fnsymbol{footnote}School of Geosciences
University of Edinburgh
Edinburgh,UK, EH9 3JW

% latex2html id marker 2219
\setcounter{footnote}{4}\fnsymbol{footnote}Department of Earth and Atmospheric Sciences
University of Houston,
Houston, TX, 77004

% latex2html id marker 2220
\setcounter{footnote}{5}\fnsymbol{footnote}Institute of Geology and Geophysics,
Chinese Academy of Sciences,
Beijing, China, 102200


The benefits of simultaneous source acquisition are compromised by the challenges of dealing with intense blending noise. In this paper, we propose a processing workflow for blended data. The incoherent property of blending noise in the common-midpoint (CMP) gathers is utilized for applying median filtering along the spatial direction after normal moveout (NMO) correction. The key step in the proposed workflow is that we need to obtain a precise velocity estimation which is required by the subsequent NMO correction. Because of the intense blending noise, the velocity scan can not be obtained in one step. We can recursively polish both deblended result and velocity estimation by deblending using the updated velocity estimation and velocity scanning using the updated deblended result. We use synthetic and field data examples to demonstrate the performance of the proposed approach. The migrated image of deblended data is cleaner than that of blended data, and is similar to that of unblended data.

next up previous [pdf]

Next: Introduction Up: Reproducible Documents