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地震波阻抗反演实验分析 被引量:18

Experimental analysis on seismic impedance inversion
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摘要 本文使用实际测井数据和地震层位建立一个二维波阻抗实验模型,利用褶积算法生成合成地震记录,再对合成地震记录分别进行测井约束波阻抗反演和稀疏脉冲波阻抗反演,并以地震数据的最高有效频率为截频点,将反演结果分为高频分量和低频分量,分别对其可靠性及其影响因素进行分析,在此基础上进行测井约束和稀疏脉冲联合波阻抗反演。实验结果表明:①测井约束反演方法能够可靠地反演出实际波阻抗的低频分量,而反演结果的高频分量主要来自于初始波阻抗模型;②稀疏脉冲反演方法能够产生地震资料有效频带之外的频率成分,但并不能保证反演结果低频分量的可靠性;③测井约束波阻抗反演与稀疏脉冲反演之间具有很强的互补性,联合应用两种方法能够改善反演结果的可靠性。 Based on field well logging data and seismic horizons a 2d impedance experimental model was established in this paper,convolution algorithm was used to generate synthetic seismic record,then for the record the well logging constraint impedance inversion and the sparse impulse impedance inversion were conducted respectively,by taking the maximum effective frequency of the seismic data as cut-off frequency,the inversion results were divided into high frequency component and low frequency component,after analyzing their reliability and influencing factors,a joint inversion of well logging constraint impedance inversion and the sparse impulse impedance inversion was conducted,the experimental results show the following conclusions:(1):by using well logging constraint inversion method the low frequency component of the impedance can be accurately inverted,while the high frequency component of the inversion result was mainly from the initial impedance model,(2):The sparse impulse inversion method could generate the frequency component which is not within the effective frequency bandwidth of seismic data,but it could assure the reliability of the low frequency component of the inversion results.(3):The well logging constraint impedance inversion and the sparse impulse impedance inversion have strong complementarity,jointly applying of the two inversion methods could improve the reliability of the inversion results.
出处 《石油地球物理勘探》 EI CSCD 北大核心 2010年第6期868-872,共5页 Oil Geophysical Prospecting
基金 国家重点基础研究发展计划(973)项目(2007CB209608) 国家高技术研究发展计划(863)项目(2007AA06Z218)联合资助
关键词 波阻抗反演 测井约束 稀疏脉冲 多解性 低频分量 高频分量 well logging constraint,sparse impulse,impedance inversion,ambiguity,low frequency component,high frequency component
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