Discussion on dynamic orebody modeling with geological science big data

Li Zhanglin; Wu Chonglong; Zhang Xialin; Weng Zhengping; Liu Gang; Zhang Zhiting; Zhang Junqiang

doi:10.19509/j.cnki.dzkq.2020.0408

Volume 39 Issue 4

Jul. 2020

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Li Zhanglin, Wu Chonglong, Zhang Xialin, Weng Zhengping, Liu Gang, Zhang Zhiting, Zhang Junqiang. Discussion on dynamic orebody modeling with geological science big data[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 59-68. doi: 10.19509/j.cnki.dzkq.2020.0408

Citation:

Li Zhanglin, Wu Chonglong, Zhang Xialin, Weng Zhengping, Liu Gang, Zhang Zhiting, Zhang Junqiang. Discussion on dynamic orebody modeling with geological science big data[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 59-68. doi: 10.19509/j.cnki.dzkq.2020.0408

Citation:

Li Zhanglin, Wu Chonglong, Zhang Xialin, Weng Zhengping, Liu Gang, Zhang Zhiting, Zhang Junqiang. Discussion on dynamic orebody modeling with geological science big data[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 59-68. doi: 10.19509/j.cnki.dzkq.2020.0408

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Discussion on dynamic orebody modeling with geological science big data

doi: 10.19509/j.cnki.dzkq.2020.0408

Li Zhanglin^{1a, 1b, 1c
,},
Wu Chonglong^{1a, 1b, 1c, 2
,
,},
Zhang Xialin^{1a, 1b, 1c, 2},
Weng Zhengping^{1a, 1b},
Liu Gang^{1a, 1b, 1c, 2},
Zhang Zhiting^{1a, 1b, 1c, 2},
Zhang Junqiang^{1a, 1b, 1c, 2}

Received Date: 18 Nov 2019

Abstract

Abstract

As a key technology of geological information systems and an important method for geological information science, three dimensional geoscience modelling (3DGM) faces many opportunities and challenges in the age of big data. Many experts in this field are discussing ways to improve 3DGM in this context. From the point view of 3D implicit modeling, an up-to-date 3DGM method, this paper discusses several issues on this point such as the integration of a geological big data system and 3DGM, and the possible ways to enhance the quality and efficiency of 3DGM based on big data technologies. The paper proposes an initial integration framework of big data based 3DGM consisting of data collection, construction of subject-oriented big data system, geological feature mining and dynamic orebody modeling. This research also suggests that the approaches of geological artificial intelligence, machine learning, data mining, and predication should be designed and applied with full consideration of essential characteristics of the geological objects under study, which is crucial to improve the modeling result. The feasibility of the proposed method is illustrated by a case study on orebody modeling.
- geological big data,
- three dimensional geoscience modeling,
- spatial interpolation,
- data mining,
- geo-statistics

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References

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