Internal multiple suppression method based on iterative inversion

被引：0

作者：

Bao P. ^{[1
]}

Wang X. ^{[2
]}

Xie J. ^{[2
]}

Wang W. ^{[3
]}

Shi Y. ^{[4
,5
]}

Xu J. ^{[1
]}

Yang Y. ^{[6
]}

机构：

[1] School of Earth Sciences, Northeast Petroleum University, Daqing

[2] Northwest Branch of Exploration and Development Research Institute of CNPC, Lanzhou

[3] Bohai Rim Energy Research Institute, Northeast Petroleum University, Qinhuangdao

[4] Institute of Unconvent Oil and Gas, Northeast Petroleum University, Daqing

[5] Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development, Northeast Petroleum University, Daqing

[6] Missouri University of Science and Technology, Rolla

来源：

Acta Geophysica Sinica | 2021年 / 64卷 / 06期

关键词：

Common Focus Point (CFP); Convolution factor; Data driven; Internal multiple;

D O I：

10.6038/cjg2021O0285.

中图分类号：

学科分类号：

摘要：

The suppression of internal multiples is a difficult problem in seismic data processing, especially for the processing of field data. In general, there is no obvious difference in time, frequency and stacking velocity between internal multiples and primaries, which is a great challenge in the identification, prediction and suppression of internal multiples. In this paper, we propose a convolution factor based on the theory of Common Focus Point (CFP) internal multiples suppression, which makes the suppression of internal multiples become an iterative inversion process to suppress internal multiples. Multiple Suppression Inversion (MSI) avoids the focusing operation which requires to construct the CFP gathers, so that the computational efficiency of multiples prediction is greatly improved, without the need for any prior information in the subsurface, which is fully data-driven. Tests on model data proves that the method proposed in this paper is effective and feasible. © 2021, Science Press. All right reserved.

引用

页码：2061 / 2072

页数：11

共 26 条

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