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

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

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

Yangkang Chen, Jiang Yuan, Zhaoyu Jin, Keling Chenand Lele Zhang
Bureau of Economic Geology,
Jackson School of Geosciences
The University of Texas at Austin
University Station, Box X
Austin, TX 78713-8924
USA
ykchen@utexas.edu

State Key Laboratory of Petroleum Resources and Prospecting
China University of Petroleum
Fuxue Road 18th
Beijing, China, 102200

School of Geosciences
University of Edinburgh
Edinburgh,UK, EH9 3JW

Department of Earth and Atmospheric Sciences
University of Houston,
Houston, TX, 77004
USA

Institute of Geology and Geophysics,
Chinese Academy of Sciences,
Beijing, China, 102200

Abstract:

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.

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