区域化探数据地质矿产信息提取研究——以甘肃省徽县高桥地区为例

doi:10.11720/wtyht.2025.1267

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摘要

化探数据中地质矿产信息的深入挖掘,是数学地质学和地质大数据的热点研究之一。目前国内积累了丰富的区域化探数据,但对数据中的地质矿产信息深入挖掘有限,需要尝试建立科学有效、简单易行的数据处理流程和分析研究方法。本次以甘肃省徽县高桥地区为研究区域,依据地质背景,根据元素性质与地球化学行为理论对相关元素数据进行处理,挖掘化探数据中蕴藏的地质矿产信息,初步建立了侵入岩体边界圈定和岩相划分的数学模型,科学指导地质填图工作;初步建立构造蚀变岩型金矿床靶区圈定模型,并进行了有效性验证,圈定了7个新的、有较好找矿前景的靶区,通过矿产检查已发现矿点5处,提交矿致异常4处,其中2处正在开展甘肃省地勘基金矿产勘查工作。本次研究成果证明,根据元素地球化学性质原理对数据进行计算处理,可进一步挖掘区域化探数据中的隐藏信息,有效指导和修正地质填图工作,提升填图效率和工作质量;可进一步高质量提取化探异常信息,高质量指导新区找矿工作。

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	田辽东
	龙登红
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	刘海
	马敏雄
	姜洪颖

关键词 ：数据处理, 地质矿产, 化探数据挖掘, 找矿靶区

Abstract：

The deep mining of geological mineral information from geochemical exploration data has been a hot research topic in mathematical geology and geological big data. Despite China's abundant regional geochemical exploration data, the deep mining of geological mineral information from these data remains limited, necessitating a scientific, efficient, simple, and feasible data processing workflow and analytical methodology. This study investigated the Gaoqiao area in Huixian County, Gansu Province, China. According to the geological background and the theories of element properties and geochemical behavior, this study processed relevant element data to mine the geological mineral information in geochemical exploration data. It established preliminary mathematical models for the boundary delineation and lithofacies classification of intermediate-acid rock masses, and the boundary delineation of mafic volcanic rocks in the Gaoqiao area to scientifically guide geological mapping. It preliminarily established the target delineation model for tectonic altered rock-hosted gold deposits. The model's effectiveness was substantiated by seven newly delineated target areas with promising prospecting potential. The mineral inspection identified five ore occurrences, including four reported for anomalies related to mineralization, with two currently under provincial geological exploration. The results of this study show that by calculating and processing data based on the geochemical properties of elements, the hidden information in regional geochemical exploration data can be further mined to effectively guide and modify geological mapping, thereby enhancing mapping efficiency and quality. High-quality anomaly information can be further extracted from geochemical exploration data to effectively guide mineral prospecting in new areas.

Key words： data processing geological minerals mining of geochemical exploration data prospecting target

收稿日期: 2024-06-26 修回日期: 2024-11-23 出版日期: 2025-08-20

ZTFLH:

P632

基金资助:甘肃省自然资源厅科技项目“西秦岭锑矿找矿预测的化探数据处理方法研究”(202228);2024年自然资源重点人才项目“甘肃省宕昌—西和锑矿矿集区成矿规律与找矿方向研究”(2024-1);自然资源部新一轮找矿突破战略行动科技支撑项目“甘肃李子园—太阳寺金矿区构造岩浆控矿体系及深边部找矿预测”(ZKKJ202415)

通讯作者: 龙登红(1987-),男,高级工程师,主要从事区域基础地质调查和找矿研究工作。Email:625571323@qq.com

作者简介: 田辽东(1980-),男,高级工程师,主要从事区域地质和水工环地质调查工作。Email:1057484214@qq.com

引用本文:

田辽东, 龙登红, 杨涛, 刘海, 马敏雄, 姜洪颖. 区域化探数据地质矿产信息提取研究——以甘肃省徽县高桥地区为例[J]. 物探与化探, 2025, 49(4): 768-777.
TIAN Liao-Dong, LONG Deng-Hong, YANG Tao, LIU Hai, MA Min-Xiong, JIANG Hong-Ying. Extracting geological mineral information from regional geochemical exploration data: A case study of the Gaoqiao area in Huixian County, Gansu Province, China. Geophysical and Geochemical Exploration, 2025, 49(4): 768-777.

链接本文:

https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2025.1267 或 https://www.wutanyuhuatan.com/CN/Y2025/V49/I4/768

Fig.1 西秦岭金矿地质简图

Fig.2 研究区地质矿产简图

Fig.3 岩浆热液矿床原生晕垂直分带模式示意^[38]

Fig.4 高桥地区W元素地球化学分布

Fig.5 高桥地区花岗岩岩体相带推断

Fig.6 利用Co-Ni-Cr组合圈定的基性火山岩

Fig.7 高桥地区Au-Ag-Pb-As-Sb-Hg元素叠加异常

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