Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)

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Research on the Current Situation of Artificial Intelligence in Gold Ore Exploration at Home and Abroad

Authors
Jing Zhang1, 2, 3, Lei Zhu4, Chunning Wang1, 2, 3, *, Li Jiang4, Yongqi Su4, Jinfeng Li4
1National Geological Library of China, Beijing, 100083, China
2Geoscience Documentation Center. CGS, Beijing, 100083, China
3Technology Innovation Center of Geoscience Knowledge and Intelligent Service, CGS, Beijing, 100083, China
4China University Geosciences, Beijing, 100083, China
*Corresponding author. Email: wangchunning@mail.cgs.gov.cn
Corresponding Author
Chunning Wang
Available Online 16 December 2025.
DOI
10.2991/978-94-6463-902-5_34How to use a DOI?
Keywords
Artificial intelligence; Gold mine; Mineral exploration; Gold prospecting
Abstract

Mineral resources play an important role in a country's economic development and national defense security, and gold is a crucial strategic metal mineral. With the continuous growth of global demand for mineral resources, traditional gold exploration methods are facing challenges such as high costs, low efficiency, and great difficulty in deep ore prospecting. The rapid development of artificial intelligence (AI) technology has provided new solutions for mineral exploration. This paper reviews the research status of artificial intelligence technology in the field of gold exploration at home and abroad, discusses the technical logic, application prospects and challenges of intelligent ore prospecting, and analyzes the latest progress of relevant foreign technologies. Through knowledge extraction from gold mine - related literature, a prospecting knowledge graph has been constructed to provide corpus support for the training of a large geological prospecting model.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
Series
Advances in Engineering Research
Publication Date
16 December 2025
ISBN
978-94-6463-902-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-902-5_34How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jing Zhang
AU  - Lei Zhu
AU  - Chunning Wang
AU  - Li Jiang
AU  - Yongqi Su
AU  - Jinfeng Li
PY  - 2025
DA  - 2025/12/16
TI  - Research on the Current Situation of Artificial Intelligence in Gold Ore Exploration at Home and Abroad
BT  - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
PB  - Atlantis Press
SP  - 347
EP  - 363
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-902-5_34
DO  - 10.2991/978-94-6463-902-5_34
ID  - Zhang2025
ER  -