| 姚晓峰,施俊法,陈骥,余韵,张婷婷.从“直接找矿”到“智能找矿”：脉络与启示[J].矿产勘查,2024,15(4):671-679 |
| 从“直接找矿”到“智能找矿”：脉络与启示 |
| From direct exploration to AI exploration： Evolution and insight |
| 投稿时间：2024-01-25 修订日期：2024-03-05 |
| DOI：10.20008/j.kckc.202404017 |
| 中文关键词: 固体矿产 找矿 技术逻辑 演变历史 发展方向 |
| 英文关键词: mineral resource exploration ideas and methodology evolution history developing direction |
| 基金项目:本文受中国地质调查局项目（DD20221928）资助。 |
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| 中文摘要: |
| 本文通过回顾固体矿产找矿的技术逻辑演进历程，指出中国固体矿产找矿经历“直接找矿”“经验找矿”“理论找矿”“信息找矿”“智能找矿”5个层级，“智能找矿”是未来一段时间的发展方向。相比发达国家固体矿产找矿的发展演变情况，中国发展历程虽然后发但基本相似，可以借鉴其夯实基础地质数据、构建精细矿床模型、运用现代勘查技术、积极探索智能找矿等方面的经验做法。着眼于当前新一轮找矿突破战略行动的紧迫需求，就找矿工作提出4方面建议：一是加速推进找矿工作智能化进程，从野外调查、数据处理、系统构建和预测示范进行全方位改造；二是以遥感调查和航空物探为先导，加快西部地区“直接找矿”；三是充分利用新技术新方法，加强中东部地区“信息找矿”；四是精准实施科技攻关，强化大型资源基地找矿科技支撑。 |
| 英文摘要: |
| It is indicated that the mineral exploration evoluted from direct exploration， empirical exploration， theory exploration， information exploration and AI exploration in China， by reviewing and staging the history of mineral prospecting. The AI exploration will be the future trend. The evolution history of mineral exploration in China， similar to the main stage in the overseas countries， but started later than them. Basical geological suvey insistence， more detailed deposit modelling， modern exploration technology utilization， and AI exploration experiment in foreign countries， are worth learning. Considering the urgent demand of the New Round of Prospecting Breakthrough Strategic Action， four piece of advice are provided. Firstly， accelerate the intelligent process of mineral exploration， containing aspects of the geological survey， data analysis， software development and prospecting demonstration. Secondly， speed up the direct exploration in the west of China， guided by remote sensing survey and aerial geophysical survey. Thirdly， strengthen the information exploration in the central and eastern China， using new prospecting technologies and approaches. Lastly， conduct the detaied research on the deposit model and the combination of prospecting technology， to support the discovery of large-scale resource bases. |
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