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小兴安岭东南部格勒比勒河地区Au致矿地球化学异常信息识别与提取

付立春 朱显男 王佳辉 李一成 宋庆元 李博 袁和 谢天坤 王桃源 李增涛 周龙 李雪峰

物探与化探2026,Vol.50Issue(1):12-20,9.
物探与化探2026,Vol.50Issue(1):12-20,9.DOI:10.11720/wtyht.2026.1231

小兴安岭东南部格勒比勒河地区Au致矿地球化学异常信息识别与提取

Identification and extraction of gold mineralization-related geochemical anomalies in the Gelebile River area,southeastern Lesser Xing'an Range,China

付立春 1朱显男 1王佳辉 1李一成 1宋庆元 1李博 1袁和 1谢天坤 1王桃源 1李增涛 1周龙 1李雪峰2

作者信息

  • 1. 中国地质调查局 哈尔滨自然资源综合调查中心,黑龙江 哈尔滨 150086||自然资源部 哈尔滨黑土地地球关键带野外科学观测研究站,黑龙江 哈尔滨 150086
  • 2. 黑龙江省自然资源调查院,黑龙江 哈尔滨 150036
  • 折叠

摘要

Abstract

In nature,gold typically occurs as extremely fine-grained native gold in an extremely uneven distribution.As a result,some gold deposits(ore occurrences)lack corresponding gold geochemical anomalies,posing significant challenges to geological prospecting based on geochemical anomalies.Hence,under the guidance of the geoscience big data-driven approach,this study identified the correla-tions among data to address geological prospecting challenges.Based on the soil geochemical data of the Gelebile River area in north-eastern Heilongjiang Province,10 elements in the area were statistically analyzed using the CV1 and CV1/CV2 interpretation diagrams(CV:coefficient of variation),revealing high gold and molybdenum mineralization potential.By constructing a regression model for gold,this study delineated two prospecting targets in the Gelebile River area.The No.1 prospecting target was verified through trenching and drilling engineering,exposing one gold and one molybdenum ore body.This study demonstrates that the prospecting and prediction mod-el established based on multivariate regression analysis can significantly improve prospecting efficiency.Moreover,it offers an effective solution to quantitative prediction of prospecting targets in small-scale areas where the precise locations of mineral deposits(or occur-rences)remain unknown.

关键词

土壤地球化学/数据挖掘/地学大数据/金矿/找矿预测

Key words

soil geochemistry/data mining/geoscience big data/gold deposit/prospecting and prediction

分类

天文与地球科学

引用本文复制引用

付立春,朱显男,王佳辉,李一成,宋庆元,李博,袁和,谢天坤,王桃源,李增涛,周龙,李雪峰..小兴安岭东南部格勒比勒河地区Au致矿地球化学异常信息识别与提取[J].物探与化探,2026,50(1):12-20,9.

基金项目

中国地质调查局项目"内蒙古得尔布尔—莫尔道嘎一带金矿调查评价"(DD20242939) (DD20242939)

物探与化探

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