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作者:

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

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CPCI-S

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.

关键词:

Geological structure mesh seismic vertex visualization

作者机构:

  • [ 1 ] [Chen, Lei]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China
  • [ 2 ] [Yu, Jing]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China
  • [ 3 ] [Ditta, Allah]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China
  • [ 4 ] [Xiao, Chuangbai]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China
  • [ 5 ] [Li, Xucliang]Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China
  • [ 6 ] [Wang, Zhenli]Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China

通讯作者信息:

  • [Chen, Lei]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China

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来源 :

2016 22ND INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC)

年份: 2016

页码: 468-473

语种: 英文

被引次数:

WoS核心集被引频次: 2

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