基于构造导向滤波的多震源最小二乘逆时偏移方法研究

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摘要多震源同时采集技术能够有效提高采集效率，得到来自多个震源的混合地震数据，该技术能缩短采集周期，降低采集成本，但对混合地震数据直接成像会在成像结果中引入串扰噪音，影响成像质量。因此，本文在实现多震源最小二乘逆时偏移的基础上，引入构造导向滤波算子作为多震源最小二乘逆时偏移的预条件算子，沿着构造走向应用非平稳滤波在有效保护构造信息的前提下压制串扰噪音，通过共轭梯度法使得反偏移数据与观测数据之间的误差达到最小，最终得到信噪比更高的成像结果。合成数据的数值实验表明，本文所提出的方法能够有效压制串扰噪音，提高成像精度。

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关键词：多震源同时采集混合数据最小二乘偏移构造导向滤波

Abstract： The technology of simultaneous-source acquisition of seismic data excited by several sources can significantly improve the data collection efficiency. However, direct imaging of simultaneous-source data or blended data may introduce crosstalk noise and affect the imaging quality. To address this problem, we introduce a structure-oriented filtering operator as preconditioner into the multisource least-squares reverse-time migration (LSRTM). The structure-oriented filtering operator is a nonstationary filter along structural trends that suppresses crosstalk noise while maintaining structural information. The proposed method uses the conjugate-gradient method to minimize the mismatch between predicted and observed data, while effectively attenuating the interference noise caused by exciting several sources simultaneously. Numerical experiments using synthetic data suggest that the proposed method can suppress the crosstalk noise and produce highly accurate images.

Key words：

收稿日期: 2016-05-08;

基金资助:

本研究项目由本研究由国家自然科学基金（编号：41374122和41504100）联合资助。

引用本文:

. 基于构造导向滤波的多震源最小二乘逆时偏移方法研究[J]. 应用地球物理, 2016, 13(3): 491-499.

. Multisource least-squares reverse-time migration with structure-oriented filtering[J]. APPLIED GEOPHYSICS, 2016, 13(3): 491-499.

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