有色金属三维成矿预测信息系统设计与关键技术研究
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摘要
利用现代信息技术开展三维成矿预测,是开展深边部有色金属找矿勘查工作的迫切需要。设计有色金属三维成矿预测信息系统的目标、原则、体系结构、数据库和包括地质数据管理、三维地质建模、三维空间分析、三维成矿预测等功能模块,并对轮廓线三维插值建模法、证据权三维成矿预测法、逻辑回归成矿预测法这三种系统关键技术进行研究。系统设计集成了主流三维成矿预测技术方法,可满足多类型、多尺度的有色金属三维成矿预测需求,为后续系统开发及应用提供指南。
To apply modern information technology in three-dimensional mineralization prediction is the urgent need of non-ferrous metal prospecting exploration in deep and marginal areas.In this paper,the objectives,principles,architecture,database and the functional modules including geological data management,3D geological modeling,three-dimensional spatial analysis and three-dimensional mineralization prediction of non-ferrous metal three-dimensional metallogenic prediction information system are designed.And three key methods of contour three-dimensional interpolation modeling,three-dimensional mineralization prediction and logical regression metallogenic prediction are studied.The system integrates the mainstream three-dimensional metallogenic prediction technology to meet the multi-type and multi-scale non-ferrous metal three-dimensional mineralization prediction demand,which can provide guidance for the follow-up system development and application.
To apply modern information technology in three-dimensional mineralization prediction is the urgent need of non-ferrous metal prospecting exploration in deep and marginal areas.In this paper,the objectives,principles,architecture,database and the functional modules including geological data management,3D geological modeling,three-dimensional spatial analysis and three-dimensional mineralization prediction of non-ferrous metal three-dimensional metallogenic prediction information system are designed.And three key methods of contour three-dimensional interpolation modeling,three-dimensional mineralization prediction and logical regression metallogenic prediction are studied.The system integrates the mainstream three-dimensional metallogenic prediction technology to meet the multi-type and multi-scale non-ferrous metal three-dimensional mineralization prediction demand,which can provide guidance for the follow-up system development and application.
引文
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[2]李晓晖.隐伏矿体三维成矿定量预测及系统开发[D].合肥:合肥工业大学,2015.
[3]窦克林.我国地质填图迈向“三维”时代[N].中国矿业报,2011-03-24(A03).
[4]祁光,吕庆田,严加永,吴明安,刘彦.先验地质信息约束下的三维重磁反演建模研究——以安徽泥河铁矿为例[J].地球物理学报,2012,55(12):4194-4206.
[5]HOULDING S W.3Dgeoscience modeling—computer techniques for geological characterization[M].California:Springer-Verlag.1994.
[6]黄继先,毛先成,邓浩.一种面向三维地质剖面的形体表面重构算法[J].地理与地理信息科学,2017,33(01):19-22+34.[2017-09-21].
[7]杨洋,潘懋,吴耕宇,孙颖,李魁星.一种新的轮廓线三维地质表面重建方法[J/OL].地球信息科学学报,2015,17(03):253-259.
[8]郭甲腾.基于剖面的三维地质建模与可视化研究[D].沈阳:东北大学,2006.
[9]CALCAGNO P,CHILES J P,COURRIOUX G,et al.Geological modelling from field data and geological knowledge:part I.modelling method coupling 3Dpotential-field interpolation and geological rules[J].Physics of the Earth and Planetary Interiors,2008,171(1-4):147-157.
[10]GUILLEN A,CALCAGNO P,COURRIOUX G,et al.Geological modelling from field data and geological knowledge:part II.modelling validation using gravity and magnetic data inversion[J].Physics of the Earth and Planetary Interiors,2008,171(1-4):158-169.
[11]毛先成,唐艳华,邓浩.地质体的三维形态分析方法与应用[J].中南大学学报:自然科学版,2012,43(02):588-595.
[12]毛先成,周邹艳红,陈进等.隐伏矿体三维可视化预测[M].长沙:中南大学出版社,2011.
[13]阎继宁,周可法,王金林等.人工神经网络在成矿预测中的应用[J].计算机工程与应用,2011,47(36):230-233.
[14]黄应才,冯兴隆.平行断面法矿产资源储量估算的计算机实现与应用[J].中国钼业,2012,36(01):26-29.
[15]YUAN F,LI X,ZHANG M,et al.Three-dimensional weights of evidence-based prospectivity modeling:a case study of the Baixiangshan mining area,Ningwu Basin,Middle and Lower Yangtze Metallogenic Belt[J].China Journal of Geochemical Exploration,2014,145:82-97.
[16]张道军.逻辑回归空间加权技术及其在矿产资源信息综合中的应用[D].武汉:中国地质大学,2015.