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Multiple-suppression method using the λ-f domain high-resolution parabolic Radon transform with curvature magnification

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Abstract

In actual data processing, the parabolic Radon transform is a commonly used method to suppress multiples. However, it is difficult to suppress those multiples whose curvatures are very similar to that of the primaries using the conventional Radon transform. This paper gives a multiple-suppression method with curvature amplification to improve the multiple-suppression effect. By studying the parameters that affect the curvature of the event, it is found that compressing the offset or increasing the time difference can amplify the difference between the curvatures of the multiples and primaries, and the separation degrees of the multiples and primaries in the Radon domain are increased, so the multiple-suppression ability is improved. To improve the computational efficiency and accuracy of the Radon transform, the λ-f domain high-resolution parabolic Radon transform is used to eliminate the frequency dependence of the conventional Radon transform operator by introducing a new variable λ. Because the new transform operator and its inverse operator need to be calculated only once, the computational efficiency is significantly improved. The theoretical model data and the actual data processing show that the method can suppress the surface multiples well, and it also has a certain ability to suppress the internal multiples that have a particular curvature difference from the primaries.

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Authors and Affiliations

  1. Research Institute of Petroleum Exploration and Development Northwest Branch, CNPC, Lanzhou, 730020, China

    Jun-fa **e, **ao Wang, **ao-wei Wang, Dun-shi Wu, Hua-hui Zeng & Bao-zhong **

Authors
  1. Jun-fa **e
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  2. **ao Wang
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  3. **ao-wei Wang
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  4. Dun-shi Wu
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  5. Hua-hui Zeng
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  6. Bao-zhong **
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Corresponding author

Correspondence to Jun-fa **e.

Additional information

Foundation project: this research is funded by the Basic Research and Strategic Reserve Technology Research Fund Project of CNPC (2019D-500803) and the national oil and gas project (2016zx05007-006).

**e Jun-fa obtained his Ph.D. degree from the China University of Petroleum (Huadong) in 2016. He is currently working in the Research Institute of Petroleum Exploration and Development Northwest Branch, CNPC. He is committed to research on seismic data processing, seismic data regularization, and multiple suppression.

Company: Research Institute of Petroleum Exploration and Development Northwest Branch, CNPC.

Address: No.535 Yanerwan Road, Chengguan District, Lanzhou City, Gansu Province Zipcode: 730020

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**e, Jf., Wang, X., Wang, Xw. et al. Multiple-suppression method using the λ-f domain high-resolution parabolic Radon transform with curvature magnification. Appl. Geophys. 21, 169–178 (2024). https://doi.org/10.1007/s11770-021-0883-5

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  • DOI: https://doi.org/10.1007/s11770-021-0883-5

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