On the visualization of 3D geological models and their uncertainty

被引:3
|
作者
Zehner, Bjoern [1 ]
机构
[1] Fed Inst Geosci & Nat Resources BGR, Wilhelmstr 25-30, D-13593 Berlin, Germany
基金
欧盟地平线“2020”;
关键词
3D visualization; volume rendering; uncertainty; geological models; SUBSURFACE;
D O I
10.1127/zdgg/2020/0251
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
3D geological modelling is increasingly becoming a standard tool among geological survey organizations. The corresponding 3D models are made ever more widely available to general users, ranging from the interested public to politicians and decision makers who might be economists or lawyers, most of whom have received no specific professional training in how to interpret these models. In order to allow these users to interpret this information meaningfully, clear and intuitive 3D visualization plays an important role. Further, the visualization should make the users aware of the uncertainty that is inherent in these 3D geological models, due to, e.g., scarce data and interpretation ambiguities. Currently, models are most commonly visualised as vector graphics, for example by using triangulated surfaces, which allows users to zoom in very closely without changing the quality of the representation. Thus, such visualizations give the impression that the geological structures in the subsurface are known with a precision of up to a centimetre. We will discuss different visualization options for certain geological models which are part of the standard geological modelling packages, such as Gocad or Petrel, outline the problems we see with the different visualizations, and show how the visualization could be improved and be made more intuitive using volume rendering. We will then provide a short review of which visualization methods are available in order to express the uncertainty in data and models, mostly from other scientific disciplines, and show how our suggested volume visualization could be augmented with the information on the uncertainty in the geological model. Using example data sets that we have generated and preprocessed using Skua-Gocad, we will explain the workflow and discuss the different options and problems to generate such visualizations.
引用
收藏
页码:83 / 98
页数:16
相关论文
共 50 条
  • [1] A structured approach to the measurement of uncertainty in 3D geological models
    Lelliott, M. R.
    Cave, M. R.
    Wealthall, G. R.
    QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY, 2009, 42 : 95 - 105
  • [2] Error analysis and visualization of 3D geological models of mineral deposits
    Chen, Yingxian
    Ma, Huiru
    Zhu, Zhe
    Fu, Jiepeng
    ORE GEOLOGY REVIEWS, 2024, 175
  • [3] Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
    Olierook, Hugo K. H.
    Scalzo, Richard
    Kohn, David
    Chandra, Rohitash
    Farahbakhsh, Ehsan
    Clark, Chris
    Reddy, Steven M.
    Mueller, R. Dietmar
    GEOSCIENCE FRONTIERS, 2021, 12 (01) : 479 - 493
  • [4] Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
    Hugo K.H.Olierook
    Richard Scalzo
    David Kohn
    Rohitash Chandra
    Ehsan Farahbakhsh
    Chris Clark
    Steven M.Reddy
    R.Dietmar Müller
    Geoscience Frontiers, 2021, 12 (01) : 479 - 493
  • [5] Post-processing for uncertainty reduction in computed 3D geological models
    Yamamoto, Jorge Kazuo
    Koike, Katsuaki
    Kikuda, Antonio Tadashi
    da Cruz Campanha, Ginaldo Ademar
    Endlen, Arthur
    TECTONOPHYSICS, 2014, 633 : 232 - 245
  • [6] Post-processing for uncertainty reduction in computed 3D geological models
    Yamamoto, Jorge Kazuo
    Koike, Katsuaki
    Kikuda, Antonio Tadashi
    Campanha, Ginaldo Ademar da Cruz
    Endlen, Arthur
    Tectonophysics, 2014, 633 (0C) : 232 - 245
  • [8] Post-processing for uncertainty reduction in computed 3D geological models
    Campanha, Ginaldo Ademar da Cruz (ginaldo@usp.br), 1600, Elsevier B.V., Netherlands (633):
  • [9] A methodology for 3D modeling and visualization of geological objects
    ZHANG LiQiang TAN YuMin KANG ZhiZhong RUI XiaoPing ZHAO YuanYuan LIU Liu State Key Laboratory of Remote Sensing Science Sponsored by Beijing Normal University Beijing China School of Transportation Science and Engineer Beijing University of Aeronautics and Astronautics Beijing China Department of Geodesy and Geomatics School of Land Science and TechnologyChina University of Geosciences Beijing China College of Resources and Environment Graduate University of Chinese Academy of Sciences Beijing China
    Science in China(Series D:Earth Sciences), 2009, 52 (07) : 1022 - 1029
  • [10] A methodology for 3D modeling and visualization of geological objects
    Zhang LiQiang
    Tan YuMin
    Kang ZhiZhong
    Rui XiaoPing
    Zhao YuanYuan
    Liu Liu
    SCIENCE IN CHINA SERIES D-EARTH SCIENCES, 2009, 52 (07): : 1022 - 1029