基于构造地球化学弱信息提取技术的金属矿产探测研究

doi:10.11720/wtyht.2025.1291

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Abstract

To identify areas potentially rich in metal minerals, this study proposed a prospecting method based on tectono-geochemistry weak information extraction. After the exploration scope was determined, sampling points were arranged using a grid pattern, followed by chemical tests on the collected samples. Through static extraction, centrifugation, and dynamic extraction, weak tectono-geochemical information in the samples was extracted. Then, the distribution of metal minerals within fault zones was analyzed based on the extraction results, and thus metal mineral prospecting was completed. During the geological exploration in the Wuminggou-Baidungou area in the Wulonggou, Dulan County, Qinghai Province, the mineral structures within the exploration area were analyzed using extracted weak tectono-geochemical information. As a result, among the 17 fault zones identified, a 500 m long metal ore body was delineated in fault zone Ⅳ, six ore bodies with lengths ranging from 180 to 400 m were determined in fault zone Ⅵ, and two ore bodies with lengths ranging from 550 to 800 m were delineated in fault zone Ⅺ. The remaining ore bodies were identified as blind ore bodies. The application of tectono-geochemistry weak information extraction for metal mineral prospecting yielded significant achievements, meeting the practical needs of metal mineral exploration. This method can be widely applied to metal mineral prospecting in similar geological settings.

Key words： metal mineral exploration metal mineral weak tectono-geochemical information prospecting method tectono-geochemistry

Received: 03 July 2024 Published: 23 October 2025

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	De-Ying DUO
	Xiu-Feng LIU
	Bo LI

Cite this article:

De-Ying DUO,Xiu-Feng LIU,Bo LI. Metal mineral exploration based on tectono-geochemistry weak information extraction[J]. Geophysical and Geochemical Exploration, 2025, 49(5): 1053-1060.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2025.1291 OR https://www.wutanyuhuatan.com/EN/Y2025/V49/I5/1053

Layout of sampling points

Sampling parameter settings

The detection limits and relative error ranges of each element are statistically analyzed based on the pass rate

Dynamic extraction process

Traffic location of the study area

Partial display of fault zones in the study area

Static extraction test results

Extraction results of weak geochemical information from sample structure

Background values, lower anomaly limits, and weak anomaly band boundaries of each element in the sample

Exploration area structure
1—Quaternary alluvial deposits; 2—late Triassic altered plagioclase granite; 3—late Triassic biotite diorite granite; 4—middle Triassic biotite granodiorite; 5—middle Triassic quartz diorite; 6—middle Triassic diorite porphyry; 7—middle Triassic granodiorite; 8—middle Triassic granite containing dark amphibolite inclusions; 9—late Permian diorite granite; 10—early Devonian amphibolite gabbro; 11—Ordovician system Qimantage Group volcanic rock formation limestone, siliceous slate, volcanic breccia, et al.; 12—Qingbaikou system Qiujidonggou Formation phyllite and crystalline limestone; 13—Changcheng system Xiaomiao Formation; 14—Paleoproterozoic Jinshuikou rock group black cloud gneiss; 15—Paleoproterozoic Jinshuikou rock group amphibolite gneiss; 16—black mica granite vein; 17—geological boundary; 18—measured reverse fault; 19—fault of unknown nature; 20—ductile shear band; 21—gold bearing alteration zone and its identification number; 22—exploration area; 23—location of the fault zone

Results of the accuracy rate of metal mineral detection

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