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
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)...
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| Veröffentlicht in: | Journal of earth science (Wuhan, China) China), 2021-04, Vol.32 (2), p.358-369 |
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| creator | Li, Nan Li, Cangbai Chu, Wenkai Xiao, Keyan Tao, Weihan Song, Xianglong Cao, Rui Xu, Yang Fan, Mingjing |
| description | 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. |
| doi_str_mv | 10.1007/s12583-021-1434-y |
| format | Article |
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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.</description><identifier>ISSN: 1674-487X</identifier><identifier>EISSN: 1867-111X</identifier><identifier>DOI: 10.1007/s12583-021-1434-y</identifier><language>eng</language><publisher>Wuhan: China University of Geosciences</publisher><subject>Biogeosciences ; Earth and Environmental Science ; Earth Sciences ; Exploration ; Geochemistry ; Geographical information systems ; Geology ; Geometry ; Geotechnical Engineering & Applied Earth Sciences ; Lead ; Mineral resources ; Modelling ; Post-production processing ; Special Issue on Digital Geosciences and Quantitative Exploration of Mineral Resources ; Three dimensional models ; Uncertainty ; Visualization ; Zinc</subject><ispartof>Journal of earth science (Wuhan, China), 2021-04, Vol.32 (2), p.358-369</ispartof><rights>China University of Geosciences (Wuhan) and Springer-Verlag GmbH Germany, Part of Springer Nature 2021</rights><rights>China University of Geosciences (Wuhan) and Springer-Verlag GmbH Germany, Part of Springer Nature 2021.</rights><rights>Copyright © Wanfang Data Co. 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Earth Sci</addtitle><description>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.</description><subject>Biogeosciences</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Exploration</subject><subject>Geochemistry</subject><subject>Geographical information systems</subject><subject>Geology</subject><subject>Geometry</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Lead</subject><subject>Mineral resources</subject><subject>Modelling</subject><subject>Post-production processing</subject><subject>Special Issue on Digital Geosciences and Quantitative Exploration of Mineral Resources</subject><subject>Three dimensional models</subject><subject>Uncertainty</subject><subject>Visualization</subject><subject>Zinc</subject><issn>1674-487X</issn><issn>1867-111X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kc1u1DAUhSMEElXpA3RniQWbmvovdsJumJbpSC2g_qk7yzj21CVjT22nJS_Hs-EQpK7wxlc637n32qeqDjH6iBESxwmTuqEQEQwxowyOr6o93HABMcZ3r0vNBYOsEXdvq4OUHlA5lIgGi73q943XJmblfB7BrUuD6l1S2QUPggUK0BOwMqEPG6dVP5Vbk-MILkJneqB8B9Y5gcVu1xf9r8t5sFpfwc8qmQ5cOG9i8V2aFIaoDVikZFLaGp8_gQVYFghc5aEbJ9vZoMZBeXDiUo5O5yPwNcR8_2xSNnGSfRG_x_DkyspHYHnvvHpXvbGqT-bg371f3Xw5vV6ewfNvq_VycQ41ZU2GrOaUYVXbxirWipZZgRglSFssatZw9INyy3nNhOaIImtIq6niTCPOcdvWdL_6MPd9Vt4qv5EP5T2-TJTd489f0pDy94ggTAr5fiZ3MTwOZfcXlNQYk6bMZYXCM6VjSCkaK3fRbVUcJUZyylTOmcrSV06ZyrF4yOxJhfUbE186_9_0ByLVpHQ</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Li, Nan</creator><creator>Li, Cangbai</creator><creator>Chu, Wenkai</creator><creator>Xiao, Keyan</creator><creator>Tao, Weihan</creator><creator>Song, Xianglong</creator><creator>Cao, Rui</creator><creator>Xu, Yang</creator><creator>Fan, Mingjing</creator><general>China University of Geosciences</general><general>Springer Nature B.V</general><general>Centre for Exploration Targeting, the University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia%MNR Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources,Chinese Academy of Geological Sciences, Beijing 100037, China</general><general>MNR Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources,Chinese Academy of Geological Sciences, Beijing 100037, China</general><general>School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China%MNR Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources,Chinese Academy of Geological Sciences, Beijing 100037, China%Technical Guidance Center for Mineral Resources Exploration, Ministry of Natural Resources, Beijing 100120, China%China Deep Exploration Center (SinoProbe Center), Chinese Academy of Geological Sciences, Beijing 100037, China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope><orcidid>https://orcid.org/0000-0001-9270-4563</orcidid></search><sort><creationdate>20210401</creationdate><title>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</title><author>Li, Nan ; 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Earth Sci</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>32</volume><issue>2</issue><spage>358</spage><epage>369</epage><pages>358-369</pages><issn>1674-487X</issn><eissn>1867-111X</eissn><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.</abstract><cop>Wuhan</cop><pub>China University of Geosciences</pub><doi>10.1007/s12583-021-1434-y</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-9270-4563</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1674-487X |
| ispartof | Journal of earth science (Wuhan, China), 2021-04, Vol.32 (2), p.358-369 |
| issn | 1674-487X 1867-111X |
| language | eng |
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| subjects | Biogeosciences Earth and Environmental Science Earth Sciences Exploration Geochemistry Geographical information systems Geology Geometry Geotechnical Engineering & Applied Earth Sciences Lead Mineral resources Modelling Post-production processing Special Issue on Digital Geosciences and Quantitative Exploration of Mineral Resources Three dimensional models Uncertainty Visualization Zinc |
| title | 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 |
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