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

Xuegong Zhao, Hao Wu, Xinyan Li, Zhenming Peng and Yalin Li
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Xuegong Zhao: School of Information and Communication Engineering, 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
Yalin Li: PetroChina Tarim Oilfield Company, Korla 841000, Xinjiang, China

Energies, 2020, vol. 13, issue 19, 1-15

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.

Keywords: dominant frequency band; reflection coefficient; basis pursuit denoising; sparse constraint; joint time-frequency inversion (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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