An amplitude-preserved adaptive focused beam seismic migration method

Gaussian beam migration （GBM） is an effec- tive and robust depth seismic imaging method, which overcomes the disadvantage of Kirchhoff migration in imaging multiple arrivals and has no steep-dip limitation of one-way wave equation migration. However, its imaging quality depends on the initial beam p...

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Bibliographic Details
Published in:Petroleum science 2015-08, Vol.12 (3), p.417-427
Main Authors: Yang, Ji-Dong, Huang, Jian-Ping, Wang, Xin, Li, Zhen-Chun
Format: Article
Language:English
Subjects:
Accuracy
Beams (radiation)
Earth and Environmental Science
Earth Sciences
Economics and Management
Energy Policy
Geology
Imaging
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Mathematical models
Migration
Mineral Resources
Original Paper
Spreads
Wave equations
叠前深度偏移方法
地震
成像方法
成像质量
振幅
波动方程偏移
波束域
自适应聚焦
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Summary:Gaussian beam migration （GBM） is an effec- tive and robust depth seismic imaging method, which overcomes the disadvantage of Kirchhoff migration in imaging multiple arrivals and has no steep-dip limitation of one-way wave equation migration. However, its imaging quality depends on the initial beam parameters, which can make the beam width increase and wave-front spread with the propagation of the central ray, resulting in poor migration accuracy at depth, especially for exploration areas with complex geological structures. To address this problem, we present an adaptive focused beam method for shot-domain prestack depth migration. Using the infor- mation of the input smooth velocity field, we first derive an adaptive focused parameter, which makes a seismic beam focused along the whole central ray to enhance the wave- field construction accuracy in both the shallow and deep regions. Then we introduce this parameter into the GBM, which not only improves imaging quality of deep reflectors but also makes the shallow small-scale geological struc- tures well-defined. As well, using the amplitude-preserved extrapolation operator and deconvolution imaging condi- tion, the concept of amplitude-preserved imaging has been included in our method. Typical numerical examples and the field data processing results demonstrate the validity and adaptability of our method.
ISSN:1672-5107
1995-8226
DOI:10.1007/s12182-015-0044-7