ISSN 1004-4140
CN 11-3017/P
Volume 26 Issue 2
Apr.  2017
Turn off MathJax
Article Contents
GONG Shu, REN Qin-qin, WANG Min-ling. Application of Parabolic Radon Transform in the Suppression of Multiple Seismic Wave[J]. CT Theory and Applications, 2017, 26(2): 165-176. DOI: 10.15953/j.1004-4140.2017.26.02.05
Citation: GONG Shu, REN Qin-qin, WANG Min-ling. Application of Parabolic Radon Transform in the Suppression of Multiple Seismic Wave[J]. CT Theory and Applications, 2017, 26(2): 165-176. DOI: 10.15953/j.1004-4140.2017.26.02.05

Application of Parabolic Radon Transform in the Suppression of Multiple Seismic Wave

More Information
  • Received Date: December 04, 2016
  • Available Online: November 27, 2022
  • The existence of multiple waves will reduce the signal to noise ratio of seismic data, and effect quality of seismic data processing and the subsequent geological interpretation accuracy, so the suppression of multiple wave interference is an important work in the processing of seismic data. Author modeled seismic wave field of several typical geological model through using the finite difference method, After NMO correction, then transformed the reflected wave and multiple wave in the t-x domain to the τ-q domain through the method of parabolic Radon transform. Energy convergence is obtained in the τ-q domain, because of the velocity differences between the reflected wave and the multiple wave, the reflection wave and the multiple wave energy were apart from each other in the τ-q domain, so we can get rid of multiple wave energy in the Radon domain and retain the reflected wave information effectively, then reached the suppression of multiple wave effect, improved the signal-to-noise ratio. The suppression of multiple waves were further verified by the results of the parabolic Radon transform of the real seismic data.
  • Cited by

    Periodical cited type(2)

    1. 万鑫龙,邓尚彪,高鹏. 基于深度学习的肺结节良恶性CT智能鉴别系统的构建及应用. 临床医学工程. 2025(01): 12-15 .
    2. 苏寅晨,张晓琴. 人工智能辅助诊断系统在肺结节检测及良恶性判断中的应用价值. CT理论与应用研究. 2024(03): 325-331 . 本站查看

    Other cited types(0)

Catalog

    Article views (503) PDF downloads (20) Cited by(2)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return