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AAPG Bulletin, Vol. 90 (2006), Program Abstracts (Digital)
7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006
ABSTRACT: Random Noise Removal of Seismic 
Attribute
Data via Complex-valued Wavelets
Saleh Al-Dossary1 and Leon Hu2
1 Saudi Aramco, PO BOX 8851, Dhahran, 31311, Saudi Arabia, phone: +96638731976, fax:
+96638731202, [email protected]
2 Saudi Aramco, PO BOX 2671, Dhahran, 31311, Saudi Arabia
Volumetric curvature and coherent energy gradient attributes can improve the detection of linear geologic features but may
introduce high frequency noise. Existing edge-preserving smoothing algorithms can be used to minimize the high-frequency
noise but they typically do not preserve small vertical lineaments well. This paper introduces a new 3D seismic noise
reduction technique that preserves very small features and lateral discontinuities (edges) without introducing high frequency
noise or phase distortion. Phase distortion is minimized through the use of a non-orthogonal, complex valued, log-Gabor
wavelets in the frequency domain. The theory and examples of its application to both synthetic and real 3 -D data from
Saudi Arabia are described in this paper. These examples clearly show a reduction in random noise along with the
preservation of vertical lineaments and high-frequency signal.
Copyright © 2006. The American Association of Petroleum Geologists. All Rights Reserved.
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