Variable-grid reverse-time migration of different seismic survey data

Sun, Xuewen; Li, Zhenchun; Jia, Yan-Rui

doi:10.1007/s11770-017-0652-7

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Li et al (2014) proposed an efficient dual-variable algorithm and applied it to RTM. Sun et al (2017) introduced the variable-grid technique into cross-well seismic data imaging. Wang et al (2017) developed an adaptive FWI algorithm based on the variable-grid strategy to reduce the computational costs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive variable-grid least-squares reverse-time migration

Huang

Chen²,

Wang³

et al. 2023

Front. Earth Sci.

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Variable-grid methods have the potential to save computing costs and memory requirements in forward modeling and least-squares reverse-time migration (LSRTM). However, due to the inherent difficulty of automatic grid discretization, conventional variable-grid methods have not been widely used in industrial production. We propose a variable-grid LSRTM (VG-LSRTM) method based on an adaptive sampling strategy to improve computing efficiency and reduce memory requirements. Based on the mapping relation of two coordinate systems, we derive variable-grid acoustic wave equation and its corresponding Born forward modeling equation. On this basis, we develop a complete VG-LSRTM framework. Numerical experiments on a layered model validate the feasibility of the proposed VG-LSRTM algorithm. LSRTM tests on a modified Marmousi model demonstrate that our method can save computational costs and memory requirements with little accuracy loss.

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Section: Introductionmentioning

confidence: 99%