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Effect of regularization parameters on geophysical reconstruction

Effect of regularization parameters on geophysical reconstruction

作     者:Zhou Hui Wang Zhaolei Qiu Dongling Li Guofa Shen Jinsong Zhou Hui1,2,Wang Zhaolei3,Qiu Dongling4,Li Guofa1,2 and Shen Jinsong1,2 1 State Key Laboratory of Petroleum Resource and Prospecting,China University of Petroleum,Beijing 102249,China 2 Key Laboratory of CNPC Geophysical Prospecting,China University of Petroleum,Beijing 102249,China 3 Research Institute,Bureau of Geophysical Prospecting,Hebei 072751,China 4 China University of Petroleum,Beijing 102249,China

作者机构:State Key Laboratory of Petroleum Resource and Prospecting China University of Petroleum Beijing 102249 China Key Laboratory of CNPC Geophysical Prospecting China University of Petroleum Beijing 102249 China Research Institute Bureau of Geophysical Prospecting Hebei 072751 China China University of Petroleum Beijing 102249 China 

出 版 物:《Petroleum Science》 (石油科学(英文版))

年 卷 期:2009年第6卷第2期

页      面:119-126页

核心收录:

学科分类:0820[工学-石油与天然气工程] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 082002[工学-油气田开发工程] 

基  金:supported in part by the National Natural Science Foundation of China under Grant-in-Aid 40574053 the Program for New Century Excellent Talents in University of China (NCET-06-0602) the National 973 Key Basic Research Development Program (No.2007CB209601) 

主  题:Geophysical data inversion error of data regularization regularization parameters 

摘      要:In this paper we discuss the edge-preserving regularization method in the reconstruction of physical parameters from geophysical data such as seismic and ground-penetrating radar data. In the regularization method a potential function of model parameters and its corresponding functions are introduced. This method is stable and able to preserve boundaries, and protect resolution. The effect of regularization depends to a great extent on the suitable choice of regularization parameters. The influence of the edge-preserving parameters on the reconstruction results is investigated and the relationship between the regularization parameters and the error of data is described.

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