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Extraction of Mineral Alteration Zone from ETM+ Data in Northwestern Yunnan,China
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作者 赵志芳 张玉君 +1 位作者 成秋明 陈建平 《Journal of China University of Geosciences》 SCIE CSCD 2008年第4期416-420,共5页
Alteration is regarded as significant information for mineral exploration. In this study, ETM+ remote sensing data are used for recognizing and extracting alteration zones in northwestern Yunnan (云南), China. The ... Alteration is regarded as significant information for mineral exploration. In this study, ETM+ remote sensing data are used for recognizing and extracting alteration zones in northwestern Yunnan (云南), China. The principal component analysis (PCA) of ETM+ bands 1, 4, 5, and 7 was employed for OH alteration extractions. The PCA of ETM+ bands 1, 3, 4, and 5 was used for extracting Fe^2+ (Fe^3+) alterations. Interfering factors, such as vegetation, snow, and shadows, were masked. Alteration components were defined in the principal components (PCs) by the contributions of their diagnostic spectral bands. The zones of alteration identified from remote sensing were analyzed in detail along with geological surveys and field verification. The results show that the OH^- alteration is a main indicator of K-feldspar, phyllic, and prophilized alterations. These alterations are closely related to porphyry copper deposits. The Fe^2+ (Fe^3+) alteration indicates pyritization, which is mainly related to hydrothermal or skarn type polymetallic deposits. 展开更多
关键词 mineral alteration extraction from ETM+ data PCA OH^- alteration Fe^2+ (Fe^3+) alteration northwestern Yunnan China
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Integration of Deep-time Digital Data for Mapping Clusters of Porphyry Copper Mineral Deposits 被引量:4
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作者 CHENG Qiuming 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第S01期8-10,共3页
1 Introduction PCDs are generated in continental arcs in response to plate converging processes(subduction and collision)(Hou et al.,2009;Richards,2013).It is generally accepted that the formation of PCDs is associate... 1 Introduction PCDs are generated in continental arcs in response to plate converging processes(subduction and collision)(Hou et al.,2009;Richards,2013).It is generally accepted that the formation of PCDs is associated with igneous activities either originating from lower crust or upper mantle,with contributions of crusts during the evolution of continental lithosphere. 展开更多
关键词 PORPHYRY minerAL DEPOSITS minerAL DEPOSITS clustering simulation and prediction plate TECTONICS big data
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The Importance of Integrating Geological Mapping Information with Validated Assay Data for Generating Accurate Geological Wireframes in Orebody Modelling of Mineral Deposit in Mineral Resource Estimation: A Case Study in AngloGold Ashanti, Obuasi Mine
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作者 Joshua Wereko Opong Chiri G. Amedjoe +1 位作者 Andy Asante Matthew Coffie Wilson 《International Journal of Geosciences》 2022年第6期426-437,共12页
The basis of accurate mineral resource estimates is to have a geological model which replicates the nature and style of the orebody. Key inputs into the generation of a good geological model are the sample data and ma... The basis of accurate mineral resource estimates is to have a geological model which replicates the nature and style of the orebody. Key inputs into the generation of a good geological model are the sample data and mapping information. The Obuasi Mine sample data with a lot of legacy issues were subjected to a robust validation process and integrated with mapping information to generate an accurate geological orebody model for mineral resource estimation in Block 8 Lower. Validation of the sample data focused on replacing missing collar coordinates, missing assays, and correcting magnetic declination that was used to convert the downhole surveys from true to magnetic, fix missing lithology and finally assign confidence numbers to all the sample data. The missing coordinates which were replaced ensured that the sample data plotted at their correct location in space as intended from the planning stage. Magnetic declination data, which was maintained constant throughout all the years even though it changes every year, was also corrected in the validation project. The corrected magnetic declination ensured that the drillholes were plotted on their accurate trajectory as per the planned azimuth and also reflected the true position of the intercepted mineralized fissure(s) which was previously not the case and marked a major blot in the modelling of the Obuasi orebody. The incorporation of mapped data with the validated sample data in the wireframes resulted in a better interpretation of the orebody. The updated mineral resource generated by domaining quartz from the sulphides and compared with the old resource showed that the sulphide tonnes in the old resource estimates were overestimated by 1% and the grade overestimated by 8.5%. 展开更多
关键词 mineral Resource Estimation Geological Models Sample data Validation Assay data Geological Mapping
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基于改进Ant-miner算法的分类规则挖掘 被引量:3
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作者 肖菁 梁燕辉 《计算机工程》 CAS CSCD 2012年第17期162-165,共4页
为提高基于传统Ant-miner算法分类规则的预测准确性,提出一种基于改进Ant-miner的分类规则挖掘算法。利用样例在总样本中的密度及比例构造启发式函数,以避免在多个具有相同概率的选择条件下造成算法偏见。对剪枝规则按变异系数进行单点... 为提高基于传统Ant-miner算法分类规则的预测准确性,提出一种基于改进Ant-miner的分类规则挖掘算法。利用样例在总样本中的密度及比例构造启发式函数,以避免在多个具有相同概率的选择条件下造成算法偏见。对剪枝规则按变异系数进行单点变异,由此扩大规则的搜索空间,提高规则的预测准确度。在Ant-miner算法的信息素更新公式中加入挥发系数,使其更接近现实蚂蚁的觅食行为,防止算法过早收敛。基于UCI标准数据的实验结果表明,该算法相比传统Ant-miner算法具有更高的预测准确度。 展开更多
关键词 Ant-miner算法 分类规则挖掘 数据挖掘 蚁群优化 规则修剪策略
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3D Geological Modeling with Multi-source Data Integration in Polymetallic Region:A Case Study of Luanchuan,Henan Province,China 被引量:1
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作者 Gongwen Wang~(1,2),Shouting Zhang~(1,2),Changhai Yan~3,Yaowu Song~3,Limei Wang~1 1.School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China. 2.State Key laboratory of Geological Processes and Mineral Resources,China University of Geosciences,Beijing 100083,China 3.Henan Institute of Geological Survey,Zhengzhou 450007,China 《地学前缘》 EI CAS CSCD 北大核心 2009年第S1期166-167,共2页
The development of 3D geological models involves the integration of large amounts of geological data,as well as additional accessible proprietary lithological, structural,geochemical,geophysical,and borehole data.Luan... The development of 3D geological models involves the integration of large amounts of geological data,as well as additional accessible proprietary lithological, structural,geochemical,geophysical,and borehole data.Luanchuan,the case study area,southwestern Henan Province,is an important molybdenum-tungsten -lead-zinc polymetallic belt in China. 展开更多
关键词 3D GEOLOGICAL modeling MULTI-SOURCE data minerAL exploration METALLOGENIC model virtual GEOLOGICAL section Luanchuan POLYMETALLIC REGION
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Mineral Potential Mapping for Tungsten Polymetallic Deposits in the Nanling Metallogenic Belt, South China 被引量:3
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作者 Yue Liu Qiuming Cheng +1 位作者 Qinglin Xia Xinqing Wang 《Journal of Earth Science》 SCIE CAS CSCD 2014年第4期689-700,共12页
The Nanling belt in South China has considerable resources of tungsten polymetallic commodities and is one of the most important metallogenic belts in the world. Data-driven weights-of-evidence (WofE) and fuzzy logi... The Nanling belt in South China has considerable resources of tungsten polymetallic commodities and is one of the most important metallogenic belts in the world. Data-driven weights-of-evidence (WofE) and fuzzy logic models are used to evaluate the tungsten polymetallic potential of the Nanling belt. Initially, seven ore-controlling factors derived from multi-source geospatial datasets (e.g., geological, geochemical, and geophysical) are used for data integration in the two models. Two mineral potential maps are generated that efficiently predicate the locations of the deposits. The WofE map predicate 81% of the deposits within 13.6% of the study area, whereas the fuzzy logic map predicate 81.5% of the deposits within 13% of the area. The predictive maps are syntheses of spatial association rules, which provide better understanding of those factors that control the distribution of mineralization and trigger eventual exploration work in new areas. Subsequently, in order to evaluate the success rate accuracy, the receiver operating characteristic curves and area under the curves (AUCs) for the two potential maps are constructed. The results show that the AUCs for the WofE and fuzzy logic models are 0.775 7 and 0.840 6, respectively. The higher AUC value for the fuzzy logic model implies that it delineate a greater number of favorable areas compared with the WorE model. Overall, the capabilities of both models for correctly classifying areas with existing mineral deposits are satisfactory. 展开更多
关键词 WEIGHTS-OF-EVIDENCE fuzzy logic data integration mineral potential assessment receiver operating characteristic (ROC) curve.
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Metallic Mineral Resources Assessment and Analysis System Design 被引量:3
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作者 Hu Guangdao Chen Jianguo Chen Shouyu Institute of Mathematical Geology and Remote Sensing, China University of Geosciences, Wuhan 430074, China 《Journal of Earth Science》 SCIE CAS CSCD 2000年第3期114-117,共4页
This paper presents the aim and the design structure of the metallic mineral resources assessment and analysis system. This system adopts an integrated technique of data warehouse composed of affairs processing layer... This paper presents the aim and the design structure of the metallic mineral resources assessment and analysis system. This system adopts an integrated technique of data warehouse composed of affairs processing layer and analysis application layer. The affairs processing layer includes multiform databases (such as geological database, geophysical database, geochemical database), while the analysis application layer includes data warehouse, online analysis processing and data mining. This paper also presents in detail the data warehouse of the present system and the appropriate spatial analysis methods and models. Finally, this paper presents the prospect of the system. 展开更多
关键词 mineral resources assessment data warehouse spatial analysis.
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大数据智能预测评价 被引量:6
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作者 肖克炎 李程 +4 位作者 唐瑞 王瑶 孙莉 柳炳利 樊铭静 《地学前缘》 北大核心 2025年第4期20-37,共18页
随着大数据时代的到来,大数据技术在矿产勘查中的应用已成为未来发展的趋势。本文系统梳理了大数据找矿和综合信息预测理论的发展历程,探讨了大数据在矿产预测中的关键技术,并结合实际案例,得出以下主要结论:首先,大数据找矿能够有效应... 随着大数据时代的到来,大数据技术在矿产勘查中的应用已成为未来发展的趋势。本文系统梳理了大数据找矿和综合信息预测理论的发展历程,探讨了大数据在矿产预测中的关键技术,并结合实际案例,得出以下主要结论:首先,大数据找矿能够有效应对数据量和复杂性增加的问题,提供更准确的数据解读和预测支持;其次,大数据找矿作为一种技术手段,必须依赖于坚实的矿产找矿理论,特别是综合信息预测理论,后者不仅为大数据方法提供理论支撑,还能提高矿产资源预测的精度和效率;最后,基于综合信息预测理论,结合卷积神经网络(CNN)模型对内蒙古白音查干东山-毛登地区进行成矿预测,展示了其在矿产资源预测中的应用潜力。研究成果为大数据找矿的应用和理论发展提供了重要的参考和实践经验。 展开更多
关键词 大数据 矿产资源预测 机器学习 综合信息矿产预测 智能预测
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基于I-Miner的聚类分析研究
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作者 侯天子 谭维 +1 位作者 徐德 黄乐 《现代计算机》 2008年第2期21-24,共4页
数据挖掘是当今数据库系统研究和应用领域中的热点问题,聚类是数据挖掘中的核心问题。I-Miner是一个企业级的数据挖掘工具,利用I-Miner软件进行聚类分析,将聚类结果呈现丰富的可视化效果,通过S语言拓展软件功能,解决应用的特殊需求。
关键词 数据挖掘 聚类分析 I-miner
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Application of Advanced Analytics and Visualization in Mineral Systems
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作者 Shaunna M.MORRISON Anirudh PRABHU +11 位作者 Ahmed ELEISH PAN Feifei ZHONG Hao HUANG Fang Peter FOX MA Xiaogang Jolyon RALPH Joshua J.GOLDEN Robert T.DOWNS LIU Chao Simone E.RUNYON Robert M.HAZEN 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第S01期55-55,共1页
The key to answering many compelling and complex questions in Earth,planetary,and life science lies in breaking down the barriers between scientific fields and harnessing the integrated,multi-disciplinary power of Ear... The key to answering many compelling and complex questions in Earth,planetary,and life science lies in breaking down the barriers between scientific fields and harnessing the integrated,multi-disciplinary power of Earth,planetary,and bioscience data resources.We have a unique opportunity to integrate large and rapidly expanding"big data"resources,to enlist powerful analytical and visualization methods,and to answer multi-disciplinary questions that cannot be addressed by one field alone. 展开更多
关键词 minerALS network analysis data-DRIVEN DISCOVERY minerAL evolution minerAL ECOLOGY
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2.5D Modelling of Aeromagnetic Data and their Mining Implications over the Ngaoundere Area (Adamawa Province, Cameroon)
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作者 Meying Arsène Gouet Daniel Hervé +2 位作者 Ndougsa Mbarga Theophile Ndam Njikam Mouhamed Owono Amougou Olivier Ulrich Igor 《International Journal of Geosciences》 2019年第2期173-192,共20页
This study is based on the analysis and interpretation of aeromagnetic data using version 8.4 of the Geosoft Oasis Montaj Software, to map the subsurface or deep geological structures that affected the geological form... This study is based on the analysis and interpretation of aeromagnetic data using version 8.4 of the Geosoft Oasis Montaj Software, to map the subsurface or deep geological structures that affected the geological formations of the Ngaoundere area. The use of the standard aeromagnetic methods made it possible to draw up the maps of the residual magnetic field reduced to the equator (RTE), the horizontal gradient (HG), the analytical signal (AS) and that of the Euler solutions (ED) to find the main magnetic facies corresponding to these structures. The geological formations of the studied area thus appear to be intensely fractured by a NE-SW (N45°E) and ENE-WSW (N70°E) main orientation fault system, the depth of which has been estimated by combining the three-analytical methods HG, AS and ED. Advanced magmatic map analysis revealed dikes associated with vertical faults in the studied area. The development of an interpretative geological map taking into account the basic geology, the deep faults, the identified dikes and the mineralization index made it possible to extract a correlation between geological structures and mineralization of the studied area. The 2.5D modelling of two magnetic profiles plotted on the reduced residual map at the equator was performed to approximate the geometry and depth of the dikes sector, which are potential sources of mineralization here. 展开更多
关键词 AEROMAGNETIC data ANALYTICAL Methods FAULTS minerALIZATION 2.5D MODELLING
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基于时空大数据的矿产资源产业链平台构建与智能分析研究
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作者 刘超 赵汀 +4 位作者 王安建 代涛 闫强 杨振山 王永志 《地学前缘》 北大核心 2025年第5期484-492,共9页
本文针对我国作为全球矿产资源消费与贸易大国所面临的供应链管理信息化问题,提出构建一个基于时空大数据的矿产资源产业链智能分析平台,并以铁矿石为例展开实证研究。我国矿产资源需求持续高位运行,但国内供应波动、国际市场环境多变... 本文针对我国作为全球矿产资源消费与贸易大国所面临的供应链管理信息化问题,提出构建一个基于时空大数据的矿产资源产业链智能分析平台,并以铁矿石为例展开实证研究。我国矿产资源需求持续高位运行,但国内供应波动、国际市场环境多变等因素加剧供应链风险,亟需通过智能技术提升产业链协同管理与风险应对能力。本文系统阐述了平台构建的理论基础与技术路径,集成多源异构数据,结合空间分析、时间序列分析及时空联动方法,建立涵盖“数据融合—机制解析—方案输出”的全流程分析模型。平台引入人工智能、云计算、复杂网络和遥感等技术,支持多情景仿真与动态预警,具备应对市场价格波动等突发情况的能力。实证部分通过模拟铁矿石价格大幅上涨情境,验证了平台在影响评估与策略生成方面的有效性。最后,本文展望未来研究方向,包括拓展至有色金属与能源矿产领域、优化算法模型,以及响应新能源转型对资源需求结构的影响。该平台为提升国家矿产资源安全保障和决策科学化提供了重要技术支撑。 展开更多
关键词 时空大数据 矿产资源产业链 智能分析平台 铁矿石
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面向多金属结核资源评价的大数据挖掘与融合 被引量:1
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作者 李维禄 高思宇 +3 位作者 杨锦坤 韩春花 韦广昊 孔敏 《吉林大学学报(地球科学版)》 北大核心 2025年第1期340-350,共11页
深海多金属结核资源的预测评价已走向数据科学范式,急需开展深层次找矿-示矿大数据挖掘与融合。通过分析讨论深海矿产资源评价的研究进展,以及大数据分析在矿产资源评价领域的应用,探索了面向多金属结核资源评价的大数据挖掘与融合技术... 深海多金属结核资源的预测评价已走向数据科学范式,急需开展深层次找矿-示矿大数据挖掘与融合。通过分析讨论深海矿产资源评价的研究进展,以及大数据分析在矿产资源评价领域的应用,探索了面向多金属结核资源评价的大数据挖掘与融合技术方法,提出了多金属结核资源地质模型知识谱系分析、多源异构资源-环境数据特征信息挖掘、基于大数据空间决策分析的融合集成,以及多金属结核资源评价对比验证等关键技术流程。大数据挖掘与融合技术方法创新性分析常规/非常规资源评价数据及其与矿床的相关关系,构建符合地质约束的大数据空间决策支持推理模型,实现多源异构资源评价信息的特征提取和融合集成,为深海矿产资源评价提供了基于大数据分析的技术解决途径。大数据挖掘与融合技术研究可提高深海矿产资源评价的精度和效率,对深海资源-环境等数据的高效利用、新多金属结核矿区的勘探评价以及其他深海矿种的预测评价具有重要的理论价值和实践意义。 展开更多
关键词 多金属结核 资源评价 深海矿产 大数据 数据挖掘 数据融合
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PALSAR-FBS L-HH Mode and Landsat-TM Data Fusion for Geological Mapping 被引量:1
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作者 Abderrazak Bannari Ali El-Battay +1 位作者 Ali Saquaque Abdelhafid Miri 《Advances in Remote Sensing》 2016年第4期246-268,共23页
Characterized by lithological diversity and rich mineral resources, Benshangul-Gumuz National Regional State located in Asosa Zones, Western Ethiopia has been investigated for geological mapping and morpho-structural ... Characterized by lithological diversity and rich mineral resources, Benshangul-Gumuz National Regional State located in Asosa Zones, Western Ethiopia has been investigated for geological mapping and morpho-structural lineaments extraction using PALSAR (Phased Array type L-band Synthetic Aperture Radar ) Fine Beam Single (FBS) L-HH polarization and Landsat-5 TM (Thematic Mapper ) datasets. These data were preprocessed to retrieve ground surface reflectance and backscatter coefficients. To overcome the geometry acquisition between the two sensors, they were geometrically and topographically rectified using ASTER-V2 DEM. Intensity-Hue-Saturation, directional filters and automatic lineaments extraction were applied on the datasets for lithological units’ discrimination and structural delimitation for potential mineral exploration. The obtained results showed good relationship among the topographic morphology, rock-substrate, structural variations properties, and drainage network. The spectral variations were easily associated with lithological units. Likewise, the morpho-structural information highlighted in the PALSAR image was visible without altering the radiometric integrity of the details in TM bands through the fusion process. Moreover, predominant lineaments directions trending NE-SW, NS, and NW-SE were identified. Results of this study highlighted the importance of the PALSAR FBS L-HH mode and TM data fusion to enhance geological features and lithological units for mineral exploration particularly in tropical zones. 展开更多
关键词 Geology mineral Exploration Lineaments Extraction data Fusion Intensity-Hue-Saturation Mapping Landsat-TM PALSAR-FBS L-HH Polarization ASTER DEM
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Geology and Mineral Deposits of Saraikistan (South Punjab, Koh Sulaiman Range) of Pakistan: A Tabular Review of Recently Discovered Biotas from Pakistan and Paleobiogeographic Link: Phylogeny and Hypodigm of Poripuchian Titanosaurs from Indo-Pakistan
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作者 Muhammad Sadiq Malkani 《Open Journal of Geology》 2023年第8期900-958,共59页
Saraikistan (South Punjab and surrounding) area of Pakistan is located in the central Pakistan. This area represents Triassic-Jurassic to Recent sedimentary marine and terrestrial strata. Most of the Mesozoic and Earl... Saraikistan (South Punjab and surrounding) area of Pakistan is located in the central Pakistan. This area represents Triassic-Jurassic to Recent sedimentary marine and terrestrial strata. Most of the Mesozoic and Early Cenozoic are represented by marine strata with rare terrestrial deposits, while the Late Cenozoic is represented by continental fluvial deposits. This area hosts significant mineral deposits and their development can play a significant role in the development of Saraikistan region and ultimately for Pakistan. The data of recently discovered biotas from Cambrian to Miocene age are tabulated for quick view. Mesozoic biotas show a prominent paleobiogeographic link with Gondwana and Cenozoic show Eurasian. Phylogeny and hypodigm of Poripuchian titanosaurs from India and Pakistan are hinted at here. 展开更多
关键词 GEOLOGY minerals Cement Dams Biota Tabular data Paleobiogeography Saraikistan South Punjab Sulaiman Range Pakistan Titanosaurs Indo-Pakistan
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机器学习在矿物岩石地球化学大数据挖掘中的应用与展望
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作者 王智宇 王达 +3 位作者 邱昆峰 张晓暄 才艺伟 王明阳 《成都理工大学学报(自然科学版)》 北大核心 2025年第5期844-858,共15页
随着信息技术的迅速发展,地球科学研究已进入数据密集化阶段,矿物岩石地球化学大数据挖掘已成为揭示地质演化规律、深化矿床成因认识、提升资源勘查效率的重要途径。机器学习作为典型的数据驱动建模方法,能够有效识别复杂数据中的潜在... 随着信息技术的迅速发展,地球科学研究已进入数据密集化阶段,矿物岩石地球化学大数据挖掘已成为揭示地质演化规律、深化矿床成因认识、提升资源勘查效率的重要途径。机器学习作为典型的数据驱动建模方法,能够有效识别复杂数据中的潜在模式与关键特征,为地质学研究提供新的技术路径。系统梳理了矿物岩石地球化学大数据挖掘的一般流程,归纳了典型机器学习算法的基本原理,并综合评述了其在岩石大地构造背景识别、岩石起源与演化反演、成矿潜力评价、矿床成因类型判别等方面的应用进展。在此基础上,总结了机器.学习在矿物岩石地球化学数据挖掘中的优势与不足,指出了当前研究中存在样本量有限、数据分布不均、模型可解释性不足等问题。其次展望了在算法优化、矿物岩石地球化学数据库构建、深度学习与迁移学习引入、多源数据融合、可解释人工智能发展、低代码框架应用等方向的研究前景。机器学习在矿物岩石地球化学大数据挖掘中的广泛应用将为地质过程的定量化分析、矿产勘查的智能化决策、地球科学研究的系统化提供重要理论支撑与方法路径。 展开更多
关键词 机器学习 矿物岩石地球化学 大数据挖掘 成矿潜力评价 矿床成因判别
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青海全吉地块沉积变质型铁矿遥感指示矿物提取与成矿预测
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作者 刘文佳 许海全 +6 位作者 李晓晖 王志强 袁峰 丰效坤 白昊 万露炎 李善平 《金属矿山》 北大核心 2025年第9期252-263,共12页
全吉地块位于青藏高原东北部,具有良好的沉积变质型铁矿成矿潜力,但由于该地块自然条件恶劣,地质研究和成矿预测等工作尚未深入开展,制约了区域找矿发现。通过系统梳理研究区区域地质背景,构建了全吉地块沉积变质型铁矿成矿预测模型。... 全吉地块位于青藏高原东北部,具有良好的沉积变质型铁矿成矿潜力,但由于该地块自然条件恶劣,地质研究和成矿预测等工作尚未深入开展,制约了区域找矿发现。通过系统梳理研究区区域地质背景,构建了全吉地块沉积变质型铁矿成矿预测模型。基于该模型,利用高分五号高光谱数据,通过联合应用MNF(Minimal Noise Fraction)、PPI(Pixel Purity Index)和SAM(Spectral Angle Mapper)方法,分析提取了研究区赤铁矿、褐铁矿、角闪石、白云母、绿泥石5种指示矿物,并协同磁异常和地质填图数据建立了成矿预测数据集。最后采用模糊层次分析法对多元成矿预测数据进行权重赋值,通过指数叠加方法计算成矿有利度,据此圈定5处找矿预测靶区并开展了野外验证。研究结果表明:基于高光谱数据的指示矿物提取方法可为研究区沉积变质型铁矿成矿预测提供重要的数据信息支持,圈定的找矿预测靶区为该区域沉积变质型铁矿床找矿勘查工作提供了重要方向。 展开更多
关键词 综合信息成矿预测 沉积变质型铁矿 高光谱数据 指示矿物 全吉地块
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基于三维设计与协同平台的矿产资源动态管理系统研究
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作者 刘晓明 马少维 +5 位作者 娄宏伟 原桂强 谭丽龙 游泽洪 王荣勤 刘粱金 《铜业工程》 2025年第3期83-92,共10页
中国矿产资源领域面临管理信息系统数据类型多样、格式各异的问题,导致数据库互操作性不足,严重影响了数据的收集、整理、分析与更新的效率。针对这一问题,深入研究了矿产资源管理信息系统的构建与应用,旨在实现矿产资源数据的高效管理... 中国矿产资源领域面临管理信息系统数据类型多样、格式各异的问题,导致数据库互操作性不足,严重影响了数据的收集、整理、分析与更新的效率。针对这一问题,深入研究了矿产资源管理信息系统的构建与应用,旨在实现矿产资源数据的高效管理与实时共享。本研究成果构建了体系化的矿山资源勘查及开采环境数字化模型,实现了对矿山各类资源、数据和信息的一体化集成管理。通过遵循统一标准进行的规范化管理,模型系统能够自动生成统计分析看板及报表,有效解决了管理分散、数据调取困难的问题,并且打破了数据库之间的信息孤岛,实现了数据的全面互通与共享,推动了数据全过程管理向数字化、精细化转型,使企业各级管理部门能够即时、准确地获取矿产资源开发的实时数据信息,从而更好地支持业务决策、优化资源配置,实现资源的高效利用。 展开更多
关键词 数据 矿产资源动态管理 地测信息 三维设计 数字采矿
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基于大数据和机器学习方法的含铈矿物生态学研究
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作者 古丽妮尕尔 邢介奇 +8 位作者 康石长 席佳鑫 林枭举 杨宜坪 杨莉 杨波 孟文祥 鲜海洋 朱建喜 《地球化学》 北大核心 2025年第4期575-584,I0009-I0012,共14页
稀土是发展能源转换、超导和量子工程等高新技术领域不可替代的战略性矿产资源。然而,对于稀土矿物分布、多样性和共生规律的认识极为不足。前人通过大数据和机器学习方法对Be、B和C等矿物生态学和矿物共生网络的研究,识别矿物共生组合... 稀土是发展能源转换、超导和量子工程等高新技术领域不可替代的战略性矿产资源。然而,对于稀土矿物分布、多样性和共生规律的认识极为不足。前人通过大数据和机器学习方法对Be、B和C等矿物生态学和矿物共生网络的研究,识别矿物共生组合隐藏的规律,预测总矿物种数、可能的化学组分和成矿环境,为寻找新矿物以及有效利用矿产资源提供新方向。本文立足于Mindat和RRUFF数据库提供的地球近地表166种含Ce矿物的矿物学信息,通过大量罕见事件(LNRE)模型预测:地球近地表至少存在223±3种含Ce矿物,还有57±3种含Ce矿物尚未被发现,包括39±3种含O矿物、36±11种含H矿物、50±1种含Si矿物、45±22种含Ca矿物、39±5种含Na矿物、28±5种含C和23±2种含F矿物。这些尚未被发现的矿物多数与碳酸盐岩演化的不同阶段相关。此外,Ce的矿物网络分析结果表明,含Ce矿物被划分为4种不同的成矿环境,暗示新的含Ce矿物成矿环境。本研究为开展其他稀土元素的矿物生态学和矿物共生网络研究提供研究思路和方法,对发现稀土新矿物以及有效利用稀土矿产资源具有重要指导意义。 展开更多
关键词 含Ce矿物 大数据 机器学习 大量罕见事件频率分布 矿物共生网络分析
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数据驱动斑岩型矿床时空预测模型 被引量:5
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作者 陈国雄 张越鹏 +2 位作者 罗磊 夏庆霖 成秋明 《地学前缘》 北大核心 2025年第4期46-59,共14页
矿产资源预测与评价一直是大数据和人工智能在地球科学研究中的重要应用领域。自20世纪60年代,人工智能的研究浪潮和技术革命深刻影响和推动着矿产资源预测领域的发展,催生了重大理论突破和方法技术创新,有效支撑了找矿勘查实践。在当... 矿产资源预测与评价一直是大数据和人工智能在地球科学研究中的重要应用领域。自20世纪60年代,人工智能的研究浪潮和技术革命深刻影响和推动着矿产资源预测领域的发展,催生了重大理论突破和方法技术创新,有效支撑了找矿勘查实践。在当前地球系统科学研究的主旋律下,矿产资源定量预测亟需跳出“静态控矿要素空间相关分析”的思维惯性,考虑成矿系统“源-运-储-变-保”深时动态演化历史,向“全要素跨尺度动态综合预测”方向延伸,进而发展时空数据耦合的矿产资源智能预测评价理论和方法。斑岩型矿床作为全球铜、钼、金等矿产的重要来源,记录了板块构造运动驱动的地球层圈相互作用和物质循环的关键信息;无论是斑岩型矿床勘查还是板块构造重建,都积累了大量相关的全球地学时空数据。本文主要介绍了时空耦合的数据驱动斑岩型矿床成矿预测研究思路,包括深时数据集构建、机器学习模型开发及其应用实践案例;提出了融合深时岩浆岩地球化学特征和俯冲板块动力学参数的斑岩型矿床时空预测机器学习模型;通过大数据分析揭示了俯冲碳酸盐岩通量是决定岩浆成矿禀赋的关键动力学参数,为沉积物俯冲在大规模岩浆成矿中的关键作用提供了地球动力学证据;定量评价了安第斯成矿带斑岩矿床时空分布规律及其资源潜力。因此,发展时空耦合的成矿预测理论和方法可为理解深时物质循环和资源效应、揭示矿产资源时空分布规律以及指导矿产勘查提供重要思路和独特视角。 展开更多
关键词 数据驱动 人工智能 斑岩型矿床 成矿预测 地球系统科学
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