摘要
变质作用一方面使已存岩石发生变质而形成各种类型的变质岩,同时伴有一定的成矿作用和对已有矿床的改造作用。变质作用和成矿的关系,主要体现在由温度、压力、变质热液等因素的变化而改造原有矿床或使成矿元素迁移富集而成矿。基于公开数据库对沉积岩容矿铅锌矿床建立变质作用-矿物网络模型并进行特性分析,将为解决变质作用对铅锌矿床的改造及其成矿效应研究提供新思路。本文将全球沉积岩容矿的507个铅锌矿床中的变质作用与矿石矿物相关联,搭建了包括305个有效节点(48种矿物和6种变质程度)和17416条关系边的复杂网络模型。一方面,利用数据信息搭建变质程度-矿物的复杂网络模型,刻画了变质程度间以及全部矿床主要矿物间的关联关系,发现了网络中的关联结构,结果显示,绿片岩相和低角闪岩相控制了绝大部分的金属矿床,而麻粒岩相控制了绝大部分的非金属矿床;另一方面,在模型基础上利用文本信息统计针对该模型的关键节点,选择同等条件统计数据分析使得关键节点评价的结果更具有客观性。尝试进行仿真实验,表明该模型能较好地反映客观实例,大量统计数据能有效表达该模型中的关键节点,证明了方法的合理性和有效性。对找矿预测提供决策意见,对于岩石和矿物学知识的量化研究具有启发意义。
On the one hand, the metamorphism of previously existed rocks leads to the formation of various types of metamorphic rocks, certain kinds of accompanied mineralization, and the transformation of previously existed orebodies. The relationship between metamorphism and mineralization is mainly reflected in the transformation of the original orebodies of deposits or the mineralization resulted from migration and enrichment of ore-forming elements due to the changes of temperature, pressure, metamorphic hydrothermal fluid, and other factors. Based on the open database of Internet, the internet model of relationship between metamorphism and minerals of sediment-hosted lead-zinc deposits has been established and its characteristics have been analyzed, in order to provide new ideas for solving problems of researches on the transformation of orebodies of lead-zinc deposits caused by metamorphism and the metallogenic effects of metamorphism. In this paper, we have linked the relationship between metamorphism and ore minerals of 507 sediment-hosted lead-zinc deposits in the world, and then have established a complex network model with 305 effective nodes(48 kinds of minerals and 6 kinds of metamorphic facies) and 17416 relationship lines. On the one hand, the complex network model for the relationship of metamorphism degrees and various kinds of minerals, built by using the data information, has described the respective relationships of three metamorphic facies including greenschist facies, greenschist-amphibolite facies, and amphibolite facies to main minerals of all ore deposits. and discovered the association structure in the network. The results show that the greenschist facies and low-degree amphibolite facies controlled most of the metal deposits, while the granulite facies controlled most of the non-metallic deposits. On the other hand, the text information statistics are used to analyze key nodes based on the model, and the analysis of statistical data under the same conditions has resulted in more objective evaluation results of the key nodes. The undertaken simulation experimental results show that the model can better reflect objective facts, and a large amount of statistical data can effectively express key nodes of the model, proving rationality and effectiveness of the method. It is of enlightening significance for the quantitative study of petrological and mineralogical knowledges to provide decision-making opinions for the ore prospecting prediction.
作者
闫岩
陈军林
彭润民
陈思雨
YAN Yan;CHEN Jun-lin;PENG Run-min;CHEN Si-yu(School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China;School of Earth Sciences and Space,Peking University,Beijing 100871,China)
出处
《矿物学报》
CAS
CSCD
北大核心
2021年第3期327-342,共16页
Acta Mineralogica Sinica
基金
国家重点研发计划“深地资源勘查开采”重点专项(2016YFC0600502)。
关键词
复杂网络
变质作用
铅锌矿床
可视化
大数据
Complex network
metamorphism
zinc-lead deposits
visualization
big data
