[an error occurred while processing this directive] Global Geology 2019, 22(1) 62-66 DOI:   10.3969/j.issn.1673-9736.2019.01.08  ISSN: 1673-9736 CN: 22-1371/P
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VD-seislet transform
denoising
self-adaptive threshold method
H-curve
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GOU Fuyan
LIU Yang
ZHANG Peng
PubMed
Article by Gou F
Article by Liu Y
Article by Zhang P
Study of denoising method for nonhyperbolic prestack seismic reflection data
GOU Fuyan1, LIU Yang1, ZHANG Peng2
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
ժҪ�� Removing random noise in seismic data is a key step in seismic data processing.A failed denoising may introduce many artifacts,and lead to the failure of final processing results.Seislet transform is a wavelet-like transform that analyzes seismic data following variable slopes of seismic events.The local slope is the key of seismic data.An earlier work used traditional normal moveout (NMO) equation to construct velocity-dependent (VD) seislet transform,which only adapt to hyperbolic condition.In this work,we use shifted hyperbola NMO equation to obtain more accurate slopes in nonhyperbolic situation.Self-adaptive threshold method was used to remove random noise while preserving useful signal.The synthetic and field data tests demonstrate that this method is more suitable for noise attenuation.
�ؼ����� VD-seislet transform   denoising   self-adaptive threshold method   H-curve  
Study of denoising method for nonhyperbolic prestack seismic reflection data
GOU Fuyan1, LIU Yang1, ZHANG Peng2
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
Abstract: Removing random noise in seismic data is a key step in seismic data processing.A failed denoising may introduce many artifacts,and lead to the failure of final processing results.Seislet transform is a wavelet-like transform that analyzes seismic data following variable slopes of seismic events.The local slope is the key of seismic data.An earlier work used traditional normal moveout (NMO) equation to construct velocity-dependent (VD) seislet transform,which only adapt to hyperbolic condition.In this work,we use shifted hyperbola NMO equation to obtain more accurate slopes in nonhyperbolic situation.Self-adaptive threshold method was used to remove random noise while preserving useful signal.The synthetic and field data tests demonstrate that this method is more suitable for noise attenuation.
Keywords: VD-seislet transform   denoising   self-adaptive threshold method   H-curve  
�ո����� 2018-10-10 �޻����� 2018-11-12 ����淢������  
DOI: 10.3969/j.issn.1673-9736.2019.01.08
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Supported by Project of National Natural Science Foundation of China (No.41004041)

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