贵州烂泥沟金矿三维定量预测
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引用本文:张权平,陈建平,陈雪薇,李国超,刘畅,朱静.2020.贵州烂泥沟金矿三维定量预测[J].地球学报,41(2):193-206.
DOI:10.3975/cagsb.2020.011901
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作者单位E-mail
张权平 中国地质大学(北京)地球科学与资源学院
北京市国土资源信息研究开发重点实验室 
zqp_dream@163.com 
陈建平 中国地质大学(北京)地球科学与资源学院
北京市国土资源信息研究开发重点实验室 
3s@cugb.edu.cn 
陈雪薇 中国地质大学(北京)地球科学与资源学院
北京市国土资源信息研究开发重点实验室 
 
李国超 中国地质大学(北京)地球科学与资源学院
北京市国土资源信息研究开发重点实验室 
 
刘畅 中国地质大学(北京)地球科学与资源学院
北京市国土资源信息研究开发重点实验室 
 
朱静 中国地质大学(北京)地球科学与资源学院
北京市国土资源信息研究开发重点实验室 
 
基金项目:科技部深地资源勘查开采专项“深部成矿地质异常定量预测方法与模型”(编号: 2017YFC0601502)
中文摘要:贵州烂泥沟金矿是中国黔桂滇“金三角”区内已知最大的卡林型金矿床, 资源储量大(大于126.25 t), 达到超大型规模, 大地位置处在扬子准地台西南缘右江盆地北侧, 由赖子山背斜、板昌逆冲断层与册亨构造带所组成的三角形构造变形区的北部顶点。本次研究系统剖析烂泥沟金矿的成矿地质背景与成因类型, 建立找矿地质模型, 并依据资料基础建立三维地质模型, 进而在模型上开展成矿地质异常信息定量提取与三维空间重构, 建立找矿预测模型, 采用“立方体预测模型”方法, 通过三维证据权与找矿信息量相结合的综合圈定办法减少预测结果的不确定性, 共圈定找矿靶区5处, 其中A类靶区2处, B类靶区3处, 为该区的进一步勘查提供了参考。
中文关键词:三维地质建模  立方体预测模型  地质异常  定量预测  贵州烂泥沟金矿
 
3D Quantitative Prediction in the Lannigou Gold Deposit, Guizhou Province
Abstract:The Lannigou gold deposit in Guizhou Province is the largest Carlin-type gold deposit so far known in the ‘Golden Triangle Area’ of Guizhou, Guangxi and Yunnan, which has large mineral reserves (more than 126.25 t), reaching a superlarge scale. The deposit is located on the northern side of Youjiang Basin on the southwest margin of Yangtze paraplatform as well as at the northern apex of the triangle structural deformation area composed of Laizishan anticline, Banchang thrust fault and Danheng tectonic belt. The geological settings of mineralization and genetic type of the Lannigou gold deposit were systematically analyzed and then the prospecting model was summarized on such a basis. The 3D geological model was built based on the data foundation, and then the quantitative extraction and 3D spatial reconstruction of geological anomaly ore-controlling information were carried out under the guidance of the prospecting model. A prospecting prediction model was established, and the results were calculated through “cube prediction model”. In order to reduce the uncertainty of the prediction results, the authors combined the results of three-dimensional weight of evidence and the information contents. A total of 5 prospective targets were delineated, which included two Class A targets and three Class B targets. This research provides a reference for further exploration of the study area.
keywords:3D geological modeling  cube prediction model  geological anomaly  quantitative prospecting  Lannigou gold deposit, Guizhou Province
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