Inverse Gaussian beam stacking method for imaging both primary reflections and free-surface multiples in 2D VSP

Author:

Yang Feilong12ORCID,Huang Dezhi3,Yang Jidong4ORCID,Yu Dai5,Luo Hao1,Zhao Chi1,Zhao Chong1

Affiliation:

1. Xi'an Shiyou University, College of the Geoscience and Engineering, Shaanxi Province, 710065, China

2. Shaanxi Key Laboratory of Petroleum Accumulation Geology, Shaanxi Province, 710065, China

3. Jilin University, College of Geo-Exploration Science and Technology, Jilin Province, 130026, China

4. University of Texas at Dallas, Geosciences Department, Richardson, TX, 75080, USA

5. Chang'an University, College of Geology Engineering and Geomatics, Shaanxi Province, 710054, China

Abstract

Abstract In vertical seismic profiling (VSP) exploration, it is difficult to produce an accurate image for large-offset reflections only using reflection waves and the image resolution is low in traditional VSP-CDP stacking as is the number of folds of reflection points. To mitigate these problems, we present an inverse Gaussian beam stacking method for imaging both primary reflections and free-surface multiples. We first compute the stacking weighted functions at each trace location by Gaussian beam forward modeling, and then apply an inverse projection for VSP data to produce common shot gathers (CRP). Since inverse Gaussian beam stacking maps the common-shot data along finite-frequency wave-paths instead of single rays as the traditional ray-based stacking method does, it enlarges the reflection-point coverage, increases stacking fold and reduces the requirement for large bin sizes. We incorporate free-surface multiples into the proposed inverse Gaussian beam stacking, which enables us to expand the horizontal imaging aperture and mitigate the low-fold problem of primary reflections in the shallow large-offset regions for VSP surveys. Numerical examples for synthetic and field data demonstrate the feasibility and adaptability of the proposed inverse Gaussian beam stacking method for VSP data.

Funder

Shaanxi Provincial Education Department

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

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