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Volume 32 Issue 2
Apr 2021
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Journal of Earth Science  > 2021  >  32(2): 358-369.
Nan Li, Cangbai Li, Wenkai Chu, Keyan Xiao, Weihan Tao, Xianglong Song, Rui Cao, Yang Xu, Mingjing Fan. Uncertainty Visualisation of a 3D Geological Geometry Model and Its Application in GIS-Based Mineral Resource Assessment: A Case Study in Huayuan District, Northwestern Hunan Province, China. Journal of Earth Science, 2021, 32(2): 358-369. doi: 10.1007/s12583-021-1434-y
Citation: Nan Li, Cangbai Li, Wenkai Chu, Keyan Xiao, Weihan Tao, Xianglong Song, Rui Cao, Yang Xu, Mingjing Fan. Uncertainty Visualisation of a 3D Geological Geometry Model and Its Application in GIS-Based Mineral Resource Assessment: A Case Study in Huayuan District, Northwestern Hunan Province, China. Journal of Earth Science, 2021, 32(2): 358-369. doi: 10.1007/s12583-021-1434-y
shu

Uncertainty Visualisation of a 3D Geological Geometry Model and Its Application in GIS-Based Mineral Resource Assessment: A Case Study in Huayuan District, Northwestern Hunan Province, China

doi: 10.1007/s12583-021-1434-y
  • 1.

    MNR Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China

  • 2.

    Centre for Exploration Targeting, the University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia

  • 3.

    School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China

  • 4.

    Technical Guidance Center for Mineral Resources Exploration, Ministry of Natural Resources, Beijing 100120, China

  • 5.

    China Deep Exploration Center(SinoProbe Center), Chinese Academy of Geological Sciences, Beijing 100037, China

More Information
  • Corresponding author: Nan Li, LiNan@cags.ac.cn
  • Received Date: 14 Dec 2020
  • Accepted Date: 09 Feb 2021
  • Publish Date: 01 Apr 2021
    Abstract
  • This paper reports an application of uncertainty visualisation of a regional scale (1:50 000) 3D geological geometry model to be involved in GIS-based 3D mineral potential assessment of the Xiangxibei lead-zinc mineral concentration area in northwestern Hunan District, China. Three-dimensional (3D) geological modelling is a process of interpretation that combines a set of input measurements in geometry. Today, technology has become a necessary part of GIS-based deep prospecting. However, issues of sparse data and imperfect understanding exist in the process so that there are several uncertainties in 3D geological modelling. And these uncertainties are inevitably transmitted into the post-processing applications, such as model-based mineral resource assessment. Thus, in this paper, first, a big-data-based method was used to estimate the uncertainty of a 3D geological model; second, a group of expectations of geological geometry uncertainty were calculated and integrated into ore-bearing stratoisohypse modelling, which is one of the major favourable parameters of assessment for Lead-Zinc (Pb-Zn) deep prospectivity mapping in northwestern Hunan; and finally, prospecting targets were improved.

     

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