Abstract
In this paper, we develop a new and effective multiple scale and strongly directional method for identifying and suppressing ground roll based on the second generation curvelet transform. Making the best use of the curvelet transform’s strong local directional characteristics, seismic frequency bands are transformed into scale data with and without noise. Since surface waves and primary reflected waves have less overlap in the curvelet domain, we can effectively identify and separate noise. Applying this method to pre-stack seismic data can successfully remove surface waves and, at the same time, protect the reflected events well, particularly in the low-frequency band. This indicates that the method described in this paper is an effective and amplitude-preserving method.
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This project is supported by the Natural Science Foundation (Grant No. 40739908) and National Basic Research Program of China (973 Program) (Grant No. 2007CB209605).
Zheng Jing-Jing is a PhD candidate in the Department of Geophysics, China University of Petroleum (East China). Her current research focuses on (1) calibration of seismic attributes for reservoir prediction and fluid identification technology, (2) fracture development zone and reef flat facies prospect identification, and (3) noise attenuation.
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Zheng, JJ., Yin, XY., Zhang, GZ. et al. The surface wave suppression using the second generation curvelet transform. Appl. Geophys. 7, 325–335 (2010). https://doi.org/10.1007/s11770-010-0257-x
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DOI: https://doi.org/10.1007/s11770-010-0257-x