Ground-roll noise attenuation using a simple and effective approach based on local bandlimited orthogonalization

Published as IEEE Geoscience and Remote Sensing Letters, 12, no. 11, 2316-2320 (2015)

Ground-roll noise attenuation using a simple and effective approach based on local bandlimited orthogonalization

Yangkang Chen$^1$ , Shebao Jiao$^2$ , Jianwei Ma$^3$ , Hanming Chen$^2$ , Yatong Zhou$^4$ , and Shuwei Gan$^2$
$^1$ Jackson School of Geosciences, The University of Texas at Austin, University Station, Box X, Austin, TX 78713-8924, USA, Email: ykchen@utexas.edu
$^2$ State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Fuxue Road 18th, Beijing, China, 102200, Email: gsw19900128@126.com & huichanming@126.com
$^3$ Department of Mathematics, Harbin Institute of Technology, Harbin, China, jma@hit.edu.cn
$^4$ School of Electronic and Information Engineering, Hebei University of Technology, Xiping Road No. 5340, Beichen District, Tianjin, China, 300401, zyt@hebut.edu.cn

Abstract:

Bandpass filtering is a common way to estimate ground-roll noise on land seismic data, because of the relatively low frequency content of ground-roll. However, there is usually a frequency overlap between ground-roll and the desired seismic reflections that prevents bandpass filtering alone from effectively removing ground-roll without also harming the desired reflections. We apply a bandpass filter with a relatively high upper bound to provide an initial, imperfect separation of ground-roll and reflection signal. We then apply a technique called 'local orthogonalization' to improve the separation. The procedure is easily implemented, since it involves only bandpass filtering and a regularized division of the initial signal and noise estimates. We demonstrate the effectiveness of the method on an open-source set of field data.

Ground-roll noise attenuation using a simple and effective approach based on local bandlimited orthogonalization