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作者:

Chen, Lei (Chen, Lei.) | Yu, Jing (Yu, Jing.) | Ditta, Allah (Ditta, Allah.) | Xiao, Chuangbai (Xiao, Chuangbai.) | Li, Xueliang (Li, Xueliang.) | Wang, Zhenli (Wang, Zhenli.)

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摘要:

Accurate seismic data visualization is of paramount importance for seismic interpretation such that reservoir quality can be predicted precisely and oil or gas resources can be evaluated truthfully. For micro geological structure in seismic data, due to the variable geometric attribute, smaller size and significant role, seismic data visualization presents an intriguing problem. Existing approaches are limited to provide strong ability to visualize macro geological structure. Although some previous works can reveal micro geological structure to some extent in 3D, the contrast ratio is low and saw tooth still exists on dip horizon top. In this paper, we focus on the seismic data's coloring and tessellation. We discover that the contrast ratio is higher if the color component of the palette is filled exponentially. We further find that tessellate each seismic point according to its dip style can eliminate saw tooth on dip horizon top further. Based on these findings, we propose a novel method, referred to as a new seismic data visualization method, to visualize the seismic data in 3D. Experimental results based on real seismic data show that the proposed method presents high contrast ratio and the saw tooth on dip horizon top is eliminated more thoroughly. © 2016 Chinese Automation and Computing Society.

关键词:

Automation Data visualization Energy resources Flow visualization Geology Geophysical prospecting Petroleum deposits Seismic response Seismic waves Visualization

作者机构:

  • [ 1 ] [Chen, Lei]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Yu, Jing]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Ditta, Allah]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Li, Xueliang]Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
  • [ 6 ] [Wang, Zhenli]Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China

通讯作者信息:

  • [chen, lei]college of computer science and technology, beijing university of technology, beijing, china

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年份: 2016

页码: 467-472

语种: 英文

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WoS核心集被引频次: 0

SCOPUS被引频次: 2

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