A VTI medium prestack migration method based on the De Wolf approximation

IF 4.2 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Huachao Sun, Jianguo Sun
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引用次数: 0

Abstract

Anisotropy of velocity is an inherent characteristic of subsurface rock layers, and neglecting its effects can lead to errors in imaging positioning. The present study assumes that subsurface anisotropy follows the VTI (vertically transversely isotropic) medium model and the De Wolf approximation is employed for wavefield computation to enhance imaging accuracy. Drawing on scattering theory, the medium parameters are divided into background parameters (background velocity and anisotropy) and disturbance parameters (velocity and anisotropy disturbances). The mathematical formulation of the De Wolf approximation integral equation in a VTI medium is derived, and a generalized screen approximation (VTI-GS) operator is developed for this medium. The VTI-GS operator is applied to prestack migration. An amplitude attenuation factor is introduced through algorithm implementation and programming to mitigate spatial aliasing and improve migration image accuracy. Error analysis and pulse response test demonstrate that the VTI-GS operator is well-suited for the VTI medium. Migration images for the concave model and the Hess model confirm that the VTI-GS operator yielded higher imaging accuracy than conventional isotropic imaging methods.
基于De Wolf近似的VTI介质叠前偏移方法
速度各向异性是地下岩层的固有特征,忽视其影响会导致成像定位误差。本研究假设地下各向异性遵循VTI(垂直横向各向同性)介质模型,并采用De Wolf近似进行波场计算以提高成像精度。根据散射理论,将介质参数分为背景参数(背景速度和各向异性)和扰动参数(速度和各向异性扰动)。推导了VTI介质中De Wolf近似积分方程的数学表达式,并提出了该介质的广义屏近似算子(VTI- gs)。应用VTI-GS算子进行叠前偏移。通过算法实现和编程,引入幅度衰减因子,以减轻空间混叠,提高迁移图像的精度。误差分析和脉冲响应测试表明,VTI- gs算子非常适合于VTI介质。凹模型和Hess模型的偏移图像证实了VTI-GS算子比传统的各向同性成像方法具有更高的成像精度。
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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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