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Three-dimensional Geological Model and Deep Metallogenic Prediction in the Middle Section of the Zhaoping Fault Zone

  • Huanhuan XUE ,
  • Zhenliang YANG ,
  • Mingchun SONG ,
  • Mingpu XU ,
  • Junpeng LI ,
  • Linjun SONG ,
  • Tianpeng LIU ,
  • Xueting LIU ,
  • Teng ZHANG ,
  • Luyan WANG
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  • 1.Shandong Engineering Research Center of Application and Development of Big Data for Deep Gold Exploration,Ministry of Natural Resources Technology Innovation Center for Deep Gold Resources Exploration and Mining,No. 6 Geological Team of Shandong Provincial Bureau of Geology and Mineral Resources(No. 6 Institute of Geology and Mineral Resources Exploration of Shandong Province),Weihai 264209,Shandong,China
    2.Hebei Key Laboratory of Strategic Critical Mineral Resources,College of Earth Sciences,Hebei GEO University,Shijiazhuang 050031,Hebei,China

Received date: 2024-05-14

  Revised date: 2024-07-30

  Online published: 2024-12-20

Abstract

The Zhaoping fault zone represents one of the three principal gold ore belts,each containing substantial reserves exceeding one thousand tons,within the Jiaodong region.Exploration efforts in the Jiaogezhuang-Xiadian area have reached depths of up to 2 kilometers,indicating significant potential for further exploration in both the deeper sections and the surrounding periphery of this zone.Nonetheless,several challenges hinder mineral exploration in these deeper peripheral areas,including a lack of clarity regarding metallogenic patterns,inadequate signal reception from conventional geophysical methods under,substantial overburden,and the complexities associated with managing extensive datasets generated from deep mining operations.Through the analysis of geological maps,exploration line profiles,and exploration data,alongside the implementation of three-dimensional physical inversion techniques for gravity,magnetic,and electrical properties,a comprehensive understanding of the exploration prospects in the area has been attained.This research provides a foundational basis for advancing exploration strategies in forthcoming initiatives.The three-dimensional geological model was developed by using human-computer interaction modeling technology,it extending from the surface to a depth of -4 000 meters.Spatial analysis of the three-dimensional geological model reveals a pattern of ore-controlling faults with varying angles from the shallow to the deeper sections.It is found that the gold mineralisation is highly enriched in the section of steep and slow dip faults and in the section of slow dip faults,and the gold ore body follows the law of lateral volatility and equidistant distribution to the NE.This study introduces a prospecting methodology informed by the principles of “fault ore control law”combined with a detailed three-dimensional geological model.It identifies regions with anomalous structural morphology as favorable zones for mineralization,thereby addressing the challenge of detecting abnormal ore deposits beneath deep cover.Furthermore,a comprehensive exploration prediction model has been developed for the central segment of the Zhaoping fault zone through the extraction of five characteristic variables,such as tectonic strike reversal section,tectonic dip reversal section,tectonic surface change rate,orebody dip isotropy and orebody flanking.As a result,twelve target areas for deep mineral exploration have been identified.The integration of these characteristic variables has projected a potential gold mineral resource of 416 tons,thereby guiding the direction for subsequent deep exploration.Preliminary drilling of the target area has revealed an industrial orebody,representing a new breakthrough in the search for ore in the Zhaoping fault zone.

Cite this article

Huanhuan XUE , Zhenliang YANG , Mingchun SONG , Mingpu XU , Junpeng LI , Linjun SONG , Tianpeng LIU , Xueting LIU , Teng ZHANG , Luyan WANG . Three-dimensional Geological Model and Deep Metallogenic Prediction in the Middle Section of the Zhaoping Fault Zone[J]. Gold Science and Technology, 2024 , 32(6) : 977 -989 . DOI: 10.11872/j.issn.1005-2518.2024.06.131

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