An adaptive stability condition for Q migration in the frequency domain based on the GSLS model. Issue 5 (3rd September 2021)

• Record Type: Journal Article
• Authors: Liu, Yanli; Li, Zhenchun; Wang, Jiao; Sun, Miaomiao; Liu, Qiang
• Is Part Of: Exploration geophysics. Volume 52:Issue 5(2021)
• Page Start: 525
• Page End: 539
• Publication Date: 2021-09-03
• Subjects: Attenuation -- high-resolution -- migration -- Q -- reverse-time -- frequency domain; Geophysics -- Periodicals; Prospecting -- Geophysical methods -- Periodicals; 622.15
• DOI: 10.1080/08123985.2020.1844543
• Languages: English
• ISSNs: 0812-3985

Abstract

Abstract : Pre-stack Q migration can eliminate the absorption effect and accurately image underground structures, which is conducive to subsequent reservoir interpretation and hydrocarbon prediction. However, the instability of Q migration amplifies high-frequency noise, which seriously reduces the imaging quality. To solve the instability problem, this paper studies the stability conditions for Q migration in the frequency domain. The generalised standard linear solid (GSLS) model can well describe the attenuation characteristics of underground media by combining different basic rheological models. Based on the Von Neumann stability analysis for the finite difference scheme combined with parameter settings in the GSLS model, this paper focuses on the stability of frequency domain Q migration and theoretically deduces the stability conditions suitable for the GSLS model. The given stability conditions can be directly implemented in the frequency domain Q migration process and constrain only the maximum reference angle frequency rather than the wave field frequencies, which avoids the Gibbs effect like the high-frequency cut method. In addition, the stability conditions can be adjusted adaptively with the computed frequencies, without the problem of over- or insufficient compensation. The model and practical application indicate that based on the GSLS model and its stability conditions, the attenuation effect can be compensated stably, lost energy and frequencies can be recovered, and high-quality imaging results are obtained.