Surface wave attenuation based polarization attributes in time-frequency domain for multicomponent seismic data

作     者：Kong Xuan-Lin Chen Hui Hu Zhi-Quan Kang Jia-Xing Xu Tian-Ji and Li Lu-Ming 孔选林;陈辉;胡治权;康佳星;徐天吉;李录明

作者机构：Geomathematics Key Laboratory of Sichuan Province Chengdu University of Technology Chengdu 610059 China Exploration and Production Research Institute Sinopec Southwest Company Chengdu 610041 China Multi-wave Seismic Technology Key Laboratory of SINOPEC Group Chengdu 610041 China 

出 版 物：《Applied Geophysics》 (应用地球物理（英文版）)

年 卷 期：2018年第15卷第1期

页      面：99-110,149页

核心收录：

学科分类：081801[工学-矿产普查与勘探] 081802[工学-地球探测与信息技术] 0707[理学-海洋科学] 08[工学] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基　　金：supported by the National Science and Technology Major Project(No.2011ZX05002-004-002) the National Natural Science Foundation of China(No.41304111 and 41704132) Key Project of Science&Technology Department of Sichuan Province(No.2016JY0200) Natural Science project of Education Department of Sichuan Province(Nos.17ZA0025,16ZB0101 and 18CZ0008) the Sichuan Provincial Youth Science&Technology Innovative Research Group Fund(No.2016TD0023) the Cultivating Program of Excellent Innovation Team of Chengdu University of Technology(No.KYTD201410) 

主　　题：Vector seismic trace polarization time-frequency domain surface wave denoising 

摘      要：In the paper, we propose a surface wave suppression method in time-frequency domain based on the wavelet transform, considering the characteristic difference of polarization attributes, amplitude energy and apparent velocity between the effective signals and strong surface waves. First, we use the proposed method to obtain time-frequency spectra of seismic signals by using the wavelet transform and calculate the instantaneous polarizability at each point based on instantaneous polarization analysis. Then, we separate the surface wave area from the signal area based on the surface-wave apparent velocity and the average energy of the signal. Finally, we combine the polarizability, energy, and frequency characteristic to identify and suppress the signal noise. Model and field data are used to test the proposed filtering method.