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Author:

Li, Feipeng (Li, Feipeng.) | Gao, Jinghuai (Gao, Jinghuai.) (Scholars:高静怀) | Gao, Zhaoqi (Gao, Zhaoqi.) | Li, Chuang (Li, Chuang.) | Wang, Qingzhen (Wang, Qingzhen.) | Sun, Wenbo (Sun, Wenbo.) | Xu, Zongben (Xu, Zongben.)

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SCIE Scopus EI Web of Science

Abstract:

Amplitude-preserving angle gathers are ideal inputs for seismic prestack inversion. However, due to the limitation of computational efficiency, generating subsurface azimuth-reflection angle gathers from 3-D seismic imaging is still a very difficult task. In this article, we propose a new method to generate azimuth-reflection angle gathers from 3-D reverse time migration (RTM). The proposed method approximately reconstructs the source wavefield using high-dimensional wavelets and the excitation information. After using directional vectors to calculate the subsurface observation angles and applying the cross correlation imaging condition, we can generate azimuth-reflection angle gathers by angle binning. Without storing source wavefields or reconstructing source wavefields using boundary conditions, the proposed method has high computational efficiency. Numerical experiments on a synthetic model and a real marine seismic dataset demonstrate that compared with the excitation amplitude imaging condition, the proposed method can generate azimuth-reflection angle gathers with continuous complete events and high signal-to-noise ratio. The image quality and resolution of angle gathers are significantly improved. At the same time, the computational complexity does not increase much.

Keyword:

Azimuth Azimuth-reflection angle gathers excitation amplitude imaging condition high-dimensional wavelets Oils reverse time migration (RTM) Wavelet domain

Author Community:

  • [ 1 ] [Li, Feipeng]Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 2 ] [Gao, Jinghuai]Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 3 ] [Gao, Zhaoqi]Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 4 ] [Li, Chuang]Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 5 ] [Li, Feipeng]Xi An Jiao Tong Univ, Natl Engn Lab Offshore Oil Explorat, Xian 710049, Shaanxi, Peoples R China
  • [ 6 ] [Gao, Jinghuai]Xi An Jiao Tong Univ, Natl Engn Lab Offshore Oil Explorat, Xian 710049, Shaanxi, Peoples R China
  • [ 7 ] [Gao, Zhaoqi]Xi An Jiao Tong Univ, Natl Engn Lab Offshore Oil Explorat, Xian 710049, Shaanxi, Peoples R China
  • [ 8 ] [Li, Chuang]Xi An Jiao Tong Univ, Natl Engn Lab Offshore Oil Explorat, Xian 710049, Shaanxi, Peoples R China
  • [ 9 ] [Wang, Qingzhen]CNOOC Res Inst Ltd, Beijing 100028, Peoples R China
  • [ 10 ] [Sun, Wenbo]CNOOC Res Inst Ltd, Beijing 100028, Peoples R China
  • [ 11 ] [Xu, Zongben]Xi An Jiao Tong Univ, Xian 710049, Shaanxi, Peoples R China

Reprint Author's Address:

  • J. Gao;;Xi'an Jiaotong University, School of Information and Communications Engineering, National Engineering Laboratory for Offshore Oil Exploration, Xi'an, 710049, China;;email: jhgao@xjtu.edu.cn;;

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Source :

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

ISSN: 0196-2892

Year: 2023

Volume: 61

5 . 6 0 0

JCR@2020

ESI Discipline: GEOSCIENCES;

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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