IDEAS home Printed from https://ideas.repec.org/a/ibn/eerjnl/v11y2022i1p78.html
   My bibliography  Save this article

Study on the Velocity Analysis Method of Low SNR Seismic Data

Author

Listed:
  • Jianbo He
  • Zhenyu Wang
  • Mingdong Zhang

Abstract

When the signal to noise ratio of seismic data is very low, velocity spectrum focusing will be poor., the velocity model obtained by conventional velocity analysis methods is not accurate enough, which results in inaccurate migration. For the low signal noise ratio (SNR) data, this paper proposes to use partial Common Reflection Surface (CRS) stack to build CRS gathers, making full use of all of the reflection information of the first Fresnel zone, and improves the signal to noise ratio of pre-stack gathers by increasing the number of folds. In consideration of the CRS parameters of the zero-offset rays emitted angle and normal wave front curvature radius are searched on zero offset profile, we use ellipse evolving stacking to improve the zero offset section quality, in order to improve the reliability of CRS parameters. After CRS gathers are obtained, we use principal component analysis (PCA) approach to do velocity analysis, which improves the noise immunity of velocity analysis. Models and actual data results demonstrate the effectiveness of this method.

Suggested Citation

  • Jianbo He & Zhenyu Wang & Mingdong Zhang, 2022. "Study on the Velocity Analysis Method of Low SNR Seismic Data," Energy and Environment Research, Canadian Center of Science and Education, vol. 11(1), pages 1-78, June.
    • Handle: RePEc:ibn:eerjnl:v:11:y:2022:i:1:p:78
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/eer/article/download/0/0/45356/48143
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/eer/article/view/0/45356
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:eerjnl:v:11:y:2022:i:1:p:78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.