Automatic interpretive image-focusing analysis

被引：0
作者：
Jennings J. [1 ]
Clapp R. [1 ]
Araya-Polo M. [2 ]
Biondi B. [1 ]
机构：
[1] Stanford University, Geophysics Department, Stanford Exploration Project, Stanford, CA
[2] Total Energies, Research and Technology Us, Houston, TX
来源：
Geophysics | 2023年 / 88卷 / 02期
关键词：
faults; imaging; machine learning; velocity analysis;
D O I：
10.1190/geo2021-0829.1
中图分类号：
学科分类号：
摘要：
The focusing of a seismic image is directly linked to the accuracy of the velocity model. Therefore, a critical step in a seismic imaging workflow is to perform a focusing analysis on a seismic image to determine velocity errors. Although the offset/aperture-angle axis is frequently used for focusing analysis, the physical axes of seismic images tend to be ignored because the focusing analysis of geologic structures is highly interpretive and difficult to automate. We have developed an automatic data-driven approach using convolutional neural networks to automate image-focusing analysis. Using focused and unfocused geologic faults, our approach makes use of spatial and offset/angle focusing information to robustly estimate local focusing errors within seismic images. The application of our method to a 2D limited-aperture image from the Gulf of Mexico shows that it can correctly estimate local focusing errors within the image, while a traditional semblance-based approach fails. Additionally, the proposed approach has the added benefit of improving the interpretation of faults within the image. © 2023 Society of Exploration Geophysicists.
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页码：U1 / U15
页数：14
相关论文
共 39 条
  • [1] Alkhalifah T., Fomel S., The basic components of residual migration in VTI media using anisotropy continuation, Journal of Petroleum Exploration and Production Technology, 1, pp. 17-22, (2011)
  • [2] Audebert F., Diet J.-P., Zhang X., CRP-scans from 3D pre-stack depth migration: A powerful combination of CRP-gathers and velocity scans, (1996)
  • [3] Beasley C.J., Lynn W., Larner K., Nguyen H., Cascaded f - k migration: Removing the restrictions on depth-varying velocity, Geophysics, 53, pp. 881-893, (1988)
  • [4] Berkovitch A., Belfer I., Hassin Y., Landa E., Diffraction imaging by multifocusing, Geophysics, 74, 6, pp. WCA75-WCA81, (2009)
  • [5] Biondi B., Velocity estimation by image-focusing analysis, Geophysics, 75, 6, pp. U49-U60, (2010)
  • [6] Biondi B.L., 3D seismic imaging, (2006)
  • [7] Claerbout J.F., Imaging the earth's interior, (1985)
  • [8] De Vries D., Berkhout A., Velocity analysis based on minimum entropy, Geophysics, 49, pp. 2132-2142, (1984)
  • [9] Fomel S., Velocity analysis using AB semblance, Geophysical Prospecting, 57, pp. 311-321, (2009)
  • [10] Fomel S., Landa E., Taner M.T., Poststack velocity analysis by separation and imaging of seismic diffractions, Geophysics, 72, 6, pp. U89-U94, (2007)
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