IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i19p5025-d418686.html
   My bibliography  Save this article

Seismic Reflection Coefficient Inversion Using Basis Pursuit Denoising in the Joint Time-Frequency Domain

Author

Listed:
  • Xuegong Zhao

    (School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
    Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Hao Wu

    (College of Geophysics, Chengdu University of Technology, Chengdu 610059, China)

  • Xinyan Li

    (School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Zhenming Peng

    (School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
    Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu 610054, China
    Sichuan Province Key Laboratory of Display Science and Technology, Chengdu 610059, China)

  • Yalin Li

    (PetroChina Tarim Oilfield Company, Korla 841000, Xinjiang, China)

Abstract

Seismic reflection coefficient inversion in the joint time-frequency domain is a method for inverting reflection coefficients using time domain and frequency domain information simultaneously. It can effectively improve the time-frequency resolution of seismic data. However, existing research lacks an analysis of the factors that affect the resolution of inversion results. In this paper, we analyze the influence of parameters, such as the length of the time window, the size of the sliding step, the dominant frequency band, and the regularization factor of the objective function on inversion results. The SPGL1 algorithm for basis pursuit denoising was used to solve our proposed objective function. The applied geological model and experimental field results show that our method can obtain a high-resolution seismic reflection coefficient section, thus providing a potential avenue for high-resolution seismic data processing and seismic inversion, especially for thin reservoir inversion and prediction.

Suggested Citation

  • Xuegong Zhao & Hao Wu & Xinyan Li & Zhenming Peng & Yalin Li, 2020. "Seismic Reflection Coefficient Inversion Using Basis Pursuit Denoising in the Joint Time-Frequency Domain," Energies, MDPI, vol. 13(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5025-:d:418686
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/19/5025/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/19/5025/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hao Wu & Yingpin Chen & Shu Li & Zhenming Peng, 2019. "Acoustic Impedance Inversion Using Gaussian Metropolis–Hastings Sampling with Data Driving," Energies, MDPI, vol. 12(14), pages 1-15, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shaoyong Liu & Wenting Zhu & Zhe Yan & Peng Xu & Huazhong Wang, 2021. "An Effective Acoustic Impedance Imaging Based on a Broadband Gaussian Beam Migration," Energies, MDPI, vol. 14(14), pages 1-12, July.

    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:gam:jeners:v:13:y:2020:i:19:p:5025-:d:418686. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.