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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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  • Allmendinger, R. W., Siron, C. R., Scott, C. P., 2017. Structural Data Collection with Mobile Devices: Accuracy, Redundancy, and Best Practices. Journal of Structural Geology, 102: 98-112. https://doi.org/10.1016/j.jsg.2017.07.011
    Bárdossy, G., Fodor, J., 2001. Traditional and New Ways to Handle Uncertainty in Geology. Natural Resources Research, 10(3): 179-187. https://doi.org/10.1023/a:1012513107364
    Bistacchi, A., Massironi, M., Dal Piaz, G. V., et al., 2008. 3D Fold and Fault Reconstruction with an Uncertainty Model: An Example from an Alpine Tunnel Case Study. Computers & Geosciences, 34(4): 351-372. https://doi.org/10.1016/j.cageo.2007.04.002
    Bradley, D. C., Leach, D. L., 2003. Tectonic Controls of Mississippi Valley-Type Lead-Zinc Mineralization in Orogenic Forelands. Mineralium Deposita, 38(6): 652-667. https://doi.org/10.1007/s00126-003-0355-2
    Calcagno, P., Chilès, J. P., Courrioux, G., et al., 2008. Geological Modelling from Field Data and Geological Knowledge. Physics of the Earth and Planetary Interiors, 171(1/2/3/4): 147-157. https://doi.org/10.1016/j.pepi.2008.06.013
    Carmichael, T., Ailleres, L., 2016. Method and Analysis for the Upscaling of Structural Data. Journal of Structural Geology, 83: 121-133. https://doi.org/10.1016/j.jsg.2015.09.002
    Caumon, G., Collon-Drouaillet, P., Le-Carlier-de-Veslud, C., et al., 2009. Surface-Based 3D Modeling of Geological Structures. Mathematical Geosciences, 41(8): 927-945. https://doi.org/10.1007/s11004-009-9244-2
    Caumon, G., Tertois, A. -L., Zhang, L., 2007. Elements for Stochastic Structural Perturbation of Stratigraphic Models. Proceedings of Petroleum Geostatistics. EAGE
    Chen, J. P., Yu, P. P., Shi, R., et al., 2014. Research on Three-Dimensional Quantitative Prediction and Evaluation Methods of Regional Concealed Ore Bodies. Earth Science Frontiers, 21(5): 211-220(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DXQY201405020.htm
    Cheng, M., Hu, M., Bao, Z., et al., 2011. Discussion on the Geological Features and Genesis of the Limei Pb-Zn Ore Concentration Belt in North-western Hunan Province. Geology and Exploration, 47(2): 251-260(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-QHWJ200903011.htm
    Chilès, J. P., Delfiner, P., 2012. Modeling Spatial Uncertainty. Wiley, New York
    Cox, L. A., 1982. Artifactual Uncertainty in Risk Analysis. Risk Analysis, 2(3): 121-135. https://doi.org/10.1111/j.1539-6924.1982.tb01375.x
    Deutsch, C. V., 2002. Geostatistical Reservoir Modeling. Oxford University press, Oxford
    Dong, X. L., Berti-Equille, L., Srivastava, D., 2009. Integrating Conflicting Data. Proceedings of the VLDB Endowment, 2(1): 550-561. https://doi.org/10.14778/1687627.1687690
    Duan, Q. F., 2014. The Research of the Metallogenic Regularity of Stratabound Zinc-Lead Deposits from Sinian-Cambrian in the Western Hunan and Eastern Hubei: [Dissertation]. China University of Geosciences, Wuhan (in Chinese with English Abstract)
    Eisenhart, C., 1968. Expression of the Uncertainties of Final Results: Clear Statements of the Uncertainties of Reported Values are Needed for Their Critical Evaluation. Science, 160(3833): 1201-1204. https://doi.org/10.1126/science.160.3833.1201
    Evren, P. -C., Jérémie, G., Vitaliy, O., et al., 2018. Drillhole Uncertainty Propagation for Three-Dimensional Geological Modeling Using Monte Carlo. Tectonophysics, 16(39): 747-748. https://doi.org/10.1016/j.tecto.2018.09.005
    Fisher, N. I., Lewis, T., Embleton, B. J. J., 1993. Statistical Analysis of Spherical Data. Cambridge University Press, Cambridge
    Frank, T., Tertois, A. L., Mallet, J. L., 2007. 3D-Reconstruction of Complex Geological Interfaces from Irregularly Distributed and Noisy Point Data. Computers & Geosciences, 33(7): 932-943. https://doi.org/10.1016/j.cageo.2006.11.014
    Fu, S., 2011. Discussion on Formation Rules of High-Grade Pb-Zn Ore in Western Hunan. Nonferrous Metal (Mining Section), 63(6): 27-35(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-YSKU201106006.htm
    Galera, C., Bennis, C., Moretti, I., et al., 2003. Construction of Coherent 3D Geological Blocks. Computers & Geosciences, 29(8): 971-984. https://doi.org/10.1016/s0098-3004(03)00085-2
    Giraud, J., Pakyuz-Charrier, E., Jessell, M., et al., 2017. Uncertainty Reduction through Geologically Conditioned Petrophysical Constraints in Joint Inversion. Geophysics, 82(6): ID19-ID34. https://doi.org/10.1190/geo2016-0615.1
    Glinsky, M. E., Asher, B., Hill, R., et al., 2005. Integration of Uncertain Subsurface Information into Multiple Reservoir Simulation Models. The Leading Edge, 24(10): 990-999. https://doi.org/10.1190/1.2112372
    Gnedenko, B. V., Kolmogorov, A. N., Gnedenko, B. V., et al., 1954. Limit Distributions for Sums of Independent. Addison-Wesley, Cambridge
    Gümplová, P., 2018. Justice and Rights to Natural Resources. Constellations, 25(1): 175-177. https://doi.org/10.1111/1467-8675.12358
    Hornik, K., Grün, B., 2013. On Conjugate Families and Jeffreys Priors for von Mises-Fisher Distributions. Journal of Statistical Planning and Inference, 143(5): 992-999. https://doi.org/10.1016/j.jspi.2012.11.003
    Hou, E. K., Wu, L. X., 2002. An Object Oriented Three Dimensional Topological Data Model Based on Component for Geology Modeling. Geomatics and Information Science of Wuhan University, 27(5): 467-472(in Chinese with English Abstract) http://www.researchgate.net/publication/291740185_Object-oriented_three-dimensional_topological_data_model_based_on_component_for_geology_modeling
    Huang, G. F., Jia, B. H., Sun, H. Q., et al., 2011. China's National Mineral Resource Assessment Achievement Report: Mineral Potential Mapping in Hunan Province, Hunan Institute of Geological Survey, Changsha. 253-310
    Huang, Z. Y., Ding, H., Xu, J. H., 2019. A Faster Algorithm for Truth Discovery via Range Cover. Algorithmica, 81(10): 4118-4133. https://doi.org/10.1007/s00453-019-00562-z
    Jessell, M. W., Ailleres, L., de Kemp, E. A., 2010. Towards an Integrated Inversion of Geoscientific Data: What Price of Geology?. Tectonophysics, 490(3/4): 294-306. https://doi.org/10.1016/j.tecto.2010.05.020
    Jessell, M. W., Aillères, L., Kemp, E., et al., 2014. Next Generation Three-Dimension Geologic Modeling and Inversion. Society of Economic Geologists Special Publication, 18(18): 261-272
    Lajaunie, C., Courrioux, G., Manuel, L., 1997. Foliation Fields and 3D Cartography in Geology: Principles of a Method Based on Potential Interpolation. Mathematical Geology, 29(4): 571-584. https://doi.org/10.1007/bf02775087
    Leach, D. L., Bradley, D. C., Huston, D., et al., 2010. Sediment-Hosted Lead-Zinc Deposits in Earth History. Economic Geology, 105(3): 593-625. https://doi.org/10.2113/gsecongeo.105.3.593
    Leach, D. L., Bradley, D., Lewchuk, M. T., et al., 2001. Mississippi Valley-Type Lead-Zinc Deposits through Geological Time: Implications from Recent Age-Dating Research. Mineralium Deposita, 36(8): 711-740. https://doi.org/10.1007/s001260100208
    Li, N., Song, X. L., Li, C. B., et al., 2019. 3D Geological Modeling for Mineral System Approach to GIS-Based Prospectivity Analysis: Case Study of an MVT Pb-Zn Deposit. Natural Resources Research, 28(3): 995-1019. https://doi.org/10.1007/s11053-018-9429-9
    Li, N., Song, X. L., Xiao, K. Y., et al., 2018. Part Ⅱ: A Demonstration of Integrating Multiple-Scale 3D Modelling into GIS-Based Prospectivity Analysis: A Case Study of the Huayuan-Malichang District, China. Ore Geology Reviews, 95(1-4): 292-305. https://doi.org/10.1016/j.oregeorev.2018.02.034
    Li, N., Xiao, K. Y., Yin, J. N., et al., 2015. A Method of 3D Buffer Analysis of Boundary Representation. Journal of Computer-Aided Design and Computer Graphics, 27(9): 1625-1636(in Chinese with English Abstract) http://www.zhangqiaokeyan.com/academic-journal-cn_journal-computer-aided-design-computer-graphics_thesis/0201236241061.html
    Li, Q., Li, Y. L., Gao, J., et al., 2014a. A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. Proceedings of the VLDB Endowment, 8(4): 425-436. https://doi.org/10.14778/2735496.2735505
    Li, Q., Li, Y., Gao, J., et al., 2014b. Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. 1187-1198
    Li, H., Zhao, B., Fuxman, A., 2014. The Wisdom of Minority: Discovering and Targeting the Right Group of Workers for Crowdsourcing. Proceedings of the 23rd International Conference on World Wide Web. April, 2014, Seoul
    Li, Y. L., Gao, J., Meng, C. S., et al., 2016. A Survey on Truth Discovery. ACM SIGKDD Explorations Newsletter, 17(2): 1-16. https://doi.org/10.1145/2897350.2897352
    Lindsay, M. D., Perrouty, S., Jessell, M. W., et al., 2013. Making the Link between Geological and Geophysical Uncertainty: Geodiversity in the Ashanti Greenstone Belt. Geophysical Journal International, 195(2): 903-922. https://doi.org/10.1093/gji/ggt311
    Lindsay, M. D., Aillères, L., Jessell, M. W., et al., 2012. Locating and Quantifying Geological Uncertainty in Three-Dimensional Models: Analysis of the Gippsland Basin, Southeastern Australia. Tectonophysics, 546-547: 10-27. https://doi.org/10.1016/j.tecto.2012.04.007
    MacEachren, A. M., Robinson, A., Hopper, S., et al., 2005. Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know. Cartography and Geographic Information Science, 32(3): 139-160. https://doi.org/10.1559/1523040054738936
    Malengreau, B., Lénat, J. F., Froger, J. L., 1999. Structure of Réunion Island (Indian Ocean) Inferred from the Interpretation of Gravity Anomalies. Journal of Volcanology and Geothermal Research, 88(3): 131-146. https://doi.org/10.1016/s0377-0273(98)00114-0
    Mallet, J. L., 1992. Discrete Smooth Interpolation in Geometric Modelling. Computer-Aided Design, 24(4): 178-191. https://doi.org/10.1016/0010-4485(92)90054-e
    Mann, C. J., Davis, J. C., Herzfeld, U. C., 1993. Computers in Geology-25 Years of Progress. Oxford University Press, Oxford. 241-254
    Mardia, K. V., El-Atoum, S. A. M., 1976. Bayesian Inference for the von Mises-Fisher Distribution. Biometrika, 63(1): 203-206. https://doi.org/10.1093/biomet/63.1.203
    Maxelon, M., Mancktelow, N. S., 2005. Three-Dimensional Geometry and Tectonostratigraphy of the Pennine Zone, Central Alps, Switzerland and Northern Italy. Earth-Science Reviews, 71(3/4): 171-227. https://doi.org/10.1016/j.earscirev.2005.01.003
    Moretti, I., 2008. Working in Complex Areas: New Restoration Workflow Based on Quality Control, 2D and 3D Restorations. Marine and Petroleum Geology, 25(3): 205-218. https://doi.org/10.1016/j.marpetgeo.2007.07.001
    Nearing, G. S., Tian, Y. D., Gupta, H. V., et al., 2016. A Philosophical Basis for Hydrological Uncertainty. Hydrological Sciences Journal, 61(9): 1666-1678. https://doi.org/10.1080/02626667.2016.1183009
    Pakyuz-Charrier, E., Giraud, J., Ogarko, V., et al., 2018. Drillhole Uncertainty Propagation for Three-Dimensional Geological Modeling Using Monte Carlo. Tectonophysics, 747/748(9): 16-39. https://doi.org/10.1016/j.tecto.2018.09.005
    Pakyuz-Charrier, E., Lindsay, M., Ogarko, V., et al., 2018. Monte Carlo Simulation for Uncertainty Estimation on Structural Data in Implicit 3-D Geological Modeling, a Guide for Disturbance Distribution Selection and Parameterization. Solid Earth, 9(2): 385-402. https://doi.org/10.5194/se-9-385-2018
    Perrouty, S., Lindsay, M. D., Jessell, M. W., et al., 2014. 3D Modeling of the Ashanti Belt, Southwest Ghana: Evidence for a Litho-Stratigraphic Control on Gold Occurrences within the Birimian Sefwi Group, Ore Geology Reviews, 63: 252-264. https://doi.org/10.1016/j.oregeorev.2014.05.011
    Shannon, C. E., 1948. A Mathematical Theory of Communication. Bell System Technical Journal, 27(3): 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
    Sivia, D., 2006. Skilling J. Data Analysis: A Bayesian Tutorial. OUP Oxford, Oxford
    Snedecor, G. W., Cochran, W. G., 1989. Statistical Methods, Eight Edition. Iowa State University Press, Ames, Iowa
    Thiele, S. T., Jessell, M. W., Lindsay, M., et al., 2016. The Topology of Geology 1: Topological Analysis. Journal of Structural Geology, 91: 27-38. https://doi.org/10.1016/j.jsg.2016.08.009
    Thore, P., Shtuka, A., Lecour, M., et al., 2002. Structural Uncertainties: Determination, Management, and Applications. Geophysics, 67(3): 840-852. https://doi.org/10.1190/1.1484528
    Truffert, C., Egal, E., Le Goff, E., et al., 2001. Gravity Modellings of the Cadomian Active Margin of Northern Brittany. Tectonophysics, 331(1/2): 81-97. https://doi.org/10.1016/s0040-1951(00)00237-7
    Viard, T., Caumon, G., Lévy, B., 2011. Adjacent Versus Coincident Representations of Geospatial Uncertainty: Which Promote Better Decisions?. Computers & Geosciences, 37(4): 511-520. https://doi.org/10.1016/j.cageo.2010.08.004
    Wang, H., Wellmann, J. F., Li, Z., et al., 2016. A Segmentation Approach for Stochastic Geological Modeling Using Hidden Markov Random Fields. Mathematical Geosciences, 49(2): 145-177. https://doi.org/10.1007/s11004-016-9663-9
    Wei, H. T., Xiao, K. Y., Shao, Y. J., et al., 2020. Modeling-Based Mineral System Approach to Prospectivity Mapping of Stratabound Hydrothermal Deposits: A Case Study of MVT Pb-Zn Deposits in the Huayuan Area, Northwestern Hunan Province, China. Ore Geology Reviews, 120(5): 103368. https://doi.org/10.1016/j.oregeorev.2020.103368
    Wellmann, J. F., 2011. Uncertainties have a Meaning: Quantitative Interpretation of the Relationship between Subsurface Flow and Geological Data Quality: [Dissertation]. University of Western Australia, Perth
    Wellmann, J. F., Finsterle, S., Croucher, A., 2014. Integrating Structural Geological Data into the Inverse Modelling Framework of ITOUGH2. Computers & Geosciences, 65(3): 95-109. https://doi.org/10.1016/j.cageo.2013.10.014
    Wellmann, J. F., Horowitz, F. G., Schill, E., et al., 2010. Towards Incorporating Uncertainty of Structural Data in 3D Geological Inversion. Tectonophysics, 490(3/4): 141-151. https://doi.org/10.1016/j.tecto.2010.04.022
    Wellmann, J. F., Regenauer-Lieb, K., 2012. Uncertainties Have a Meaning: Information Entropy as a Quality Measure for 3-D Geological Models. Tectonophysics, 526-529(6): 207-216. https://doi.org/10.1016/j.tecto.2011.05.001
    Wellmann, J. F., Thiele, S. T., Lindsay, M. D., et al., 2016. Pynoddy 1.0: An Experimental Platform for Automated 3-D Kinematic and Potential Field Modelling. Geoscientific Model Development, 9(3): 1019-1035. https://doi.org/10.5194/gmd-9-1019-2016
    Wu, Q., Xu, H., Zou, X. K., 2005. An Effective Method for 3D Geological Modeling with Multi-Source Data Integration. Computers & Geosciences, 31(1): 35-43. https://doi.org/10.1016/j.cageo.2004.09.005
    Wu, Y. X., Wang, C. Y., Wei, Y., 2013. The Fine Geological Interpretation Technology Based on 3D Seismic Data. Safety in Coal Mines, 44(07): 88-90, 94(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-MKAQ201307029.htm
    Xiao, K. Y., Li, N., Porwal, A., et al., 2015. GIS-Based 3D Prospectivity Mapping: A Case Study of Jiama Copper-Polymetallic Deposit in Tibet, China. Ore Geology Reviews, 71(11): 611-632. https://doi.org/10.1016/j.oregeorev.2015.03.001
    Xue, C. J., Lü, G. X., Gao, W. L., et al., 2017. Lithofacies paleogeographic Analysis of Ore-Bearing Layers in Qingxudong period and Metallogenic Prediction in Limei Ore Field in Huayuan, Western Hunan, China. Earth Science Frontiers, 24(2): 159-175(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-DXQY201702023.htm
    Yang, S., Lao, K., 2007. Geological Characteristics and Ore Indicators of Lead-Zinc Deposits in Northwestern Hunan, China. Geological Bulletin of China, 26(7): 899-908. https://doi.org/10.1016/S1872-5791(08)60015-9
    Yin, X., Han, J., Philip, S. Y., 2008. Truth Discovery with Multiple Conflicting Information Providers on the Web. IEEE Transactions on Knowledge and Data Engineering, 20(6): 796-808. https://doi.org/10.1109/tkde.2007.190745
    Zhang, B. Y., Wu, X. B., Wang, L. F., 2013. Three-Dimensional Geological Modeling and the Application Cases. Contributions to Geology and Mineral Resources Research, 8(3): 344-351(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DZZK201303003.htm
    Zhang, X. Y., Peng, Y. Y., Xiong, Y. W., et al., 2013. Report of Regional Geological Survey (1: 50000) in the Huayuan District, Malichang district, Heku District, Duoxi District, People's Republic of China. Hunan Institute of Geological Survey (in Chinese)
    Zhao, P. D., 2007. Quantitative Mineral Prediction and Deep Mineral Exploration. Earth Science Frontiers, 14(5): 1-10(in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DXQY200705002.htm
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