基于非稳态多项式拟合的地震噪声衰减方法研究

基于非稳态多项式拟合的地震噪声衰减方法研究

P631.44; We propose a novel method for seismic noise attenuation by applying nonstationary polynomial fitting (NPF), which can estimate coherent components with amplitude variation along the event.The NPF with time-varying coefficients can adaptively estimate the coherent components.The smoothness o...

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Veröffentlicht in:应用地球物理（英文版） 2011, Vol.8 (1), p.18-26
Hauptverfasser: 刘国昌, 陈小宏, 李景叶, 杜婧, 宋家文
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container_title 应用地球物理（英文版）
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creator 刘国昌
陈小宏
李景叶
杜婧
宋家文
description P631.44; We propose a novel method for seismic noise attenuation by applying nonstationary polynomial fitting (NPF), which can estimate coherent components with amplitude variation along the event.The NPF with time-varying coefficients can adaptively estimate the coherent components.The smoothness of the polynomial coefficients is controlled by shaping regularization.The signal is coherent along the offset axis in a common midpoint (CMP) gather after normal moveout (NMO).We use NPF to estimate the effective signal and thereby to attenuate the random noise.For radial events-like noise such as ground roll, we first employ a radial trace (RT) transform to transform the data to the time-velocity domain.Then the NPF is used to estimate coherent noise in the RT domain.Finally, the coherent noise is adaptively subtracted from the noisy dataset.The proposed method can effectively estimate coherent noise with amplitude variations along the event and there is no need to propose that noise amplitude is constant.Results
doi_str_mv 10.1007/s11770-010-0244-2
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title 基于非稳态多项式拟合的地震噪声衰减方法研究
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