Extracting mineral alteration information using WorldView-3 data

The multispectral commercial satellite-WorldView-3(WV-3) has the highest spatial, spectral and radiation resolutions among the satellites currently and can generate good data in the shortwave infrared(SWIR). The study area is located in the Pobei area of Xinjiang Uygur Autonomous Region, which is rich in mineral resources. The spectral analyses of some typical altered hydroxy-bearing, iron-bearing, and carbonate-bearing minerals could establish several Principal Component Analysis(PCA) models and mineral indices, using the visible and near infrared(VNIR) and the shortwave infrared(SWIR) subsystems of WV-3 data. In addition, the Spectral Angle Method and the spectrum index tool of ENVI software were used to extract the relevant alteration information. The WV-3 data is well suited for identifying hydroxy-bearing alteration with rich SWIR bands which distinguish Al-OH-bearing from MgOH-bearing alteration. Hence, this study provides a basis for the prediction of mineral resources in the Pobei area and sets the foundation for WV-3 data to be used as an important tool in extracting alteration information and prospecting practices.

Application of GIS in Mineral Resource Prediction of Synthetic Information

This paper introduces the formation mechanism and synthetic information prediction of large and superlarge deposits in Shandong Province by analyzing and studying on the GIS platform. The authors established a prospecting model of synthetic information from large and superlarge gold deposit concentration region, and the multi-source spatial database from concentration region of deposits and anomalies. On the basis of the spatial database, a target map layer, a model map layer and a predictive map layer were set up. Based on these map layers, geological variables of the model unit and predictive unit were extracted, then launched location and quantitative prediction of the gold deposit concentration region. The achievement of predicting large and superlarge deposits by the GIS platform has enabled the authors to design automation (or semi-automatic) interpretation subsystems, namely geophysics, geochemistry, geologic prospecting and comprehensive prognosis, and a set of the applicable GIS software for mineral resources prognosis of synthetic information.

Theory and Method of Mineral Resource Prediction Based on Synthetic Information

Metallogenic prognosis of synthetic information uses the geological body and the mineral resource body as a statistical unit to interpret synthetically the information of geology, geophysics, geochemistry and remote sensing from the evolution of geology and puts all the information into one entire system by drawing up digitalized interpretation maps of the synthetic information. On such basis, different grades and types of mineral resource prospecting models and predictive models of synthetic information can be established. Hence, a new integrated prediction system will be formed of metallogenic prognosis (qualitative prediction), mineral resources statistic prediction (determining targets) and mineral resources prediction (determining resources amount).

MinerGeochem V1.0:一个全新的矿物地球化学数据信息系统

矿物是人类认识地球及地外天体的一把钥匙。随着现代原位分析技术的快速发展,矿物地球化学数据呈现指数增长,积累了大量数据,但这些数据结构复杂,且无统一的标准和格式,阻碍了矿物大数据的再利用和相关的对比研究。鉴于矿物地球化学数据对解决各类地球科学问题的优势,以及它们复杂的数据结构和体量呈指数增长的趋势,本研究基于计算机信息技术、Web应用、关系数据库、GIS等开发了一个矿物地球化学数据信息系统(MinerGeochem)。该系统由信息硬件基础设施、操作系统/数据库系统、服务组件和应用模块组成。功能模块有用户管理模块、网站内容版块、数据管理版块、记录管理版块、系统配置版块、GIS数据可视化和数据导入导出等模块组成。数据维度有矿床数据、矿物数据、实验数据和文献数据四类数据结构,每类数据包含多个属性,数据通过其属性相关联,实现了任一数据属性的搜索和获取。数据标准化及数据上传采用Excel模版批量处理,简单快捷。MinerGeochem界面简单,使用方便,有望成为地学数据库的重要组成部分,为地学工作者提供数据支持。

GIS Platform-based Multi-source Information System for Evaluation of Cu, W and Au Resources in the Northern Qilian, China

Based on the information of geology, geochemistry, geophysics and remote sensing, the GIS of multi-source information is used to evaluate Cu, W and Au mineral resources in Northern Qilian, China. As the GIS evaluation system works out in the thinking of geological prospecting, its functions include file management, graph edition, database maintenance, information inquiry and comprehensive spatial analysis as well as prospecting target prognosis. Accordingly, the GIS evaluation system can be used directly and conveniently for inquiry and analysis of visual graphs or images.

Predictive GIS Model for Potential Mapping of Cu,Pb,Zn Mineralization

ABSTRACT The geologic features indicative of Cu, Pb, Zn mineral deposits in a area are fractures （structure）, and host rock sediments. Datasets used include Cu, Pb, Zn deposit points record, geological data, remote sensing imagery （Landsat TM5）. The mineral potential of the study area is assessed by means of GIS based geodata integration techniques for generating predictive maps. GIS predictive model for Cu, Pb, Zn potential was carried out in this study area （Weixi） using weight of evidence. The weights of evidence modeling techniques is the data driven method in which the spatial associations of the indicative geologic features with the known mineral occurrences in the area are quantified, and weights statistically assigned to the geologic features. The best predictive map generated by this method defines 24 % the area having potential for Cu, Pb, Zn mineralization further exploration work.

Application of GISto Geo-anomaly-Based Delineation of Mineral Resources

In this paper, the Dongchuan type copper deposits are taken as an example to illustrate the application of GIS to the geo anomaly based delineation of mineral resources. The following eight steps are listed in this paper to delineate the permissive and preferable ore finding areas: (1) the analysis of favorable prospecting index using linear and planar geo anomalies; (2) the analysis of favorable prospecting index using combined anomalies; (3) the construction of a GIS based spatial model for mineral prognosis; (4) the delineation of the permissive ore finding area; (5) the determination of the synthetic anomalies and numerical range for the prediction of the favorable prospecting areas, and the determination of the weights of these two variables; (6) the superimposition of all the selected anomalies and the construction of the superimposition map; (7) the determination of unifying criterion of favorable prospective areas at various levels, and (8) the delineation of favorable prospective areas. Finally, this paper offers a detailed discussion of the results in the forecasting of Dongchuan type copper deposits.

Delineation of Potential Mineral Resources RegionBased on Geo-anomaly Unit

The geological anomaly unit method (GAUM) is a new way to delineate and evaluate ore finding targets in line with the “geological anomaly ore finding theory”. Comprehensive ore finding information from geological, geochemical and geophysical data is used for quantitative measurement of the “ore forming geological anomaly unit” in this paper. The main procedures are shown as follows: (1) The geo anomalous events associated with gold mineralization are analyzed in Tongshi gold field; (2) The zonation in the concentrated heavy minerals and the stream sediment elements of ore forming geo anomaly are studied in detail; (3) The deep geological structural framework is deduced by means of the synthetic geological interpretation of gravity and magnetic information; (4) The ore controlling geo anomalies and ore anomalies are chosen as the variables of the favorable ore forming indexes that can be used for the quantitative delineation and evaluation of the potential ore forming regions.

A Review of Mineral Resources and GIS Applications in Mineral Resource Assessment in Northeast China

Northeast China is one of the regions in China that possesses a great abundance of mineral resources. Coal. petroleum, natural gas, gold, iron, magnesite, graphite, talc, molding sand, glass sand and some others account for large portion in reserves and yields of that in the whole country. The region faced also shortages of copper, molybdenum, oil shale, zirconium, tantalum, rare earth, and beryllium, although they have large reserves, but limited by economical and technical factors. Geological mapping and mineral exploration activities have been intensive. Only the north part of Daxinanling Mountains in the region leaves unexplored. GIS applications in mineral resource assessment in the region start not long. Databases for GIS applications are on the way of construction. Well - trained technical staff and expertise do not meet the demand. This article reviews the situation of mineral resources and GIS applications for mineral resource assessment in the region. Suggestions on multi - lateral cooperation and GIS training are also made.

Development and future prospects of quantitative mineral assessment in China

Mineral potential assessment at the Earth’s surface has been an important research for geoscientists around the world in the past five decades. The fundamental aspects of mineral assessment at different scales can be associated with the following tasks, e.g., mineral potential mapping and estimation of mineral resources. This paper summarized the history and development in terms of theories, methods technologies and software platforms for quantitative assessment of mineral resources in China, e.g. comprehensive information methodology, geological anomaly, three-component quantitative prediction method, 5P orefinding area, integrated information assessment method, nonlinear process modeling and fractals, three dimensional mineral potential mapping, etc. At last, to discuss the future of quantitative mineral assessment in an era of big data including platform for 3D visualization, analysis and sharing, new methods and protocols for data cleaning, information enhancement, information integration, and uncertainties and multiple explanations of multi-information.

三维成矿预测关键问题

三维成矿预测是当前深部找矿预测和勘查的重要方法和手段,其方法体系和实践应用均已取得大量成果,但同时存在若干关键科学技术问题,导致其进一步发展受到制约。本文从多尺度三维成矿预测方法体系不完善、不确定性分析与优化研究薄弱、三维成矿预测要素挖掘存在瓶颈、缺少针对三维成矿预测的三维深度学习模型和方法等关键问题出发,对目前三维成矿预测领域相关方面的研究进展进行综合分析,并提出针对上述关键问题可能的解决方案和研究方向。预期未来三维成矿预测领域的研究工作将创新发展出多种方法,实现对三维预测信息的深度挖掘;构建形成适用的三维深度学习模型和训练方法,有效增强三维成矿预测结果的预测能力;通过系统性地开展三维成矿预测不确定性研究,进一步优化预测过程和结果,有效提高三维成矿预测方法的可靠性和准确性;形成面向多尺度三维成矿预测的方法体系,更有效地指导矿集区-矿田-勘查区块(矿床)等不同级别的深部矿产资源找矿勘查工作。相关关键问题的解决将进一步深化和完善三维成矿预测理论和方法体系,促进三维成矿预测理论方法的实践应用,显著提升深部找矿预测和勘查工作的效率与水平,助力深部找矿突破。

金属矿山深部资源三维智能预测理论与方法

当前,中国主要矿产大多面临后备资源不足问题,在大中型矿山深部寻找可接替资源已成为保障主要矿产的战略措施。然而,金属矿山深部找矿预测面临着矿床深部结构不清、深部控矿规律隐蔽、深部矿体空间定位难度大等关键问题,亟须建立适应矿山真三维空间要求的矿产资源预测与评价新理论并取得关键技术突破。针对这些问题,自20世纪80年代开始,笔者通过持续的探索和研究创新,先后提出隐伏矿体立体定量预测、深部资源三维可视化预测,最终提出并建立深部资源三维智能预测理论与方法,实现了矿床深部三维结构重建的自动化与精细化、深部控矿规律表征的定量化与透明化、深部成矿空间矿体定位的精准化与智能化。该理论与方法主要包括成矿系统分析与找矿概念模型构建、矿床深部结构贝叶斯数据同化三维精细重建、矿床深部地质结构三维几何-物质分析与成矿信息提取、深部矿体空间定位规律深度学习与三维预测等重要方法与关键技术。该理论与方法先后在山东胶西北金矿集区、甘肃金川铜镍矿等地取得成功应用,在矿区深部探获厚度大、高品位矿体,取得深部找矿突破。

非正式互动对新生代矿工不安全行为的影响

为了明晰非正式互动对新生代矿工不安全行为的影响机理,引入知识共享和安全胜任力这两个中介变量,在文献研究的基础上,建立非正式互动、知识共享、安全胜任力、不安全行为四者关系的假设模型。采用非正式互动量表、知识共享量表、安全胜任力量表和不安全行为量表,使用问卷调查法收集数据,通过各变量的相关分析和中介效应检验验证假设模型;同时,通过人员访谈,深入了解矿工们对于非正式互动、知识共享和安全胜任力的看法。研究显示:非正式互动会对新生代矿工的不安全行为产生直接影响,并且可以通过知识共享的中介作用、安全胜任力的中介作用以及二者的链式中介作用3条路径间接影响矿工的不安全行为。人员访谈结果显示,与领导和同事的互动可激发安全责任感,知识共享能增强危险源识别能力,安全胜任力可以在非正式互动中培养。企业应重视新生代矿工与他人之间的非正式互动,提升知识共享水平和安全胜任力,减少不安全行为。

基于GF-5卫星的西藏珠勒—芒拉地区矿物蚀变信息提取及找矿前景分析

【研究目的】近年来,遥感在地质调查和矿产勘查领域取得了广泛的应用,基于多光谱遥感数据的蚀变矿物填图为地质找矿工作提供了重要技术支撑,然而基于国产高光谱遥感数据在此领域的研究却为数不多。高分五号(GF-5)较小的波谱间隔提供了相比于多光谱更为丰富的目标地物波谱信息,为矿物的精细识别提供了良好的数据源。本文主要基于GF-5开展西藏革吉南地区的矿物蚀变信息提取,同时结合Landsat-8、ASTER多光谱数据提取结果叠加对比,综合野外调查验证,进一步深化遥感在地质矿产资源调查领域的应用。【研究方法】基于多光谱数据建立了不同类别蚀变矿物的光谱指数模型,在GF-5数据蚀变信息提取方面,摒弃了传统的光谱角匹配等方法,提出了基于决策树分类辅助混合调谐匹配滤波技术进行矿化蚀变信息的提取方法,最后综合区域构造、蚀变信息提取结果等要素,圈定成矿有利区,并开展野外调查验证。【研究结果】基于Landsat-8、ASTER两种多光谱数据对铁染、羟基类(Mg-OH、Al-OH)、碳酸盐类矿物信息进行了增强与提取;基于GF-5数据识别出了方解石、钠云母、普通白云母、多硅白云母、明矾石、高岭石、地开石、绿帘石8种蚀变矿物。【结论】结合不同数据源的提取与叠加结果,证实了本文提出的矿化蚀变信息提取方法的可行性。根据野外验证情况综合揭示了该地区发育高硫型浅成低温热液蚀变矿物组合,具有斑岩-浅成低温热液矿床的成矿潜力。本文认为高光谱与多光谱数据相结合有助于后续蚀变分带的分析与更精确的成矿预测,从而更好地服务于矿产勘查工程等领域。

基于大规模预训练模型的地质矿物属性识别方法及应用

地球科学的研究成果通常记录在技术报告、期刊论文、书籍等文献中,但许多详细的地球科学报告未被使用,这为信息提取提供了机遇。为此,我们提出了一种名为GMNER(Geological Minerals named entity recognize,MNER)的深度神经网络模型,用于识别和提取矿物类型、地质构造、岩石与地质时间等关键信息。与传统方法不同,本次采用了大规模预训练模型BERT(Bidirectional Encoder Representations from Transformers,BERT)和深度神经网络来捕捉上下文信息,并结合条件随机场(Conditional random field,CRF)以获得准确结果。实验结果表明,MNER模型在中文地质文献中表现出色,平均精确度为0.8984,平均召回率0.9227,平均F1分数0.9104。研究不仅为自动矿物信息提取提供了新途径,也有望促进矿产资源管理和可持续利用。

新疆地区西昆仑和田玉遥感信息提取与找矿远景区圈定

新疆地区和田玉主要产在西昆仑至阿尔金一带,这些地区属于高海拔和严寒地区,难以直接开展地质调查工作。当前遥感技术已在热液型矿床的找矿工作中取得重要进展。和田玉矿床属于热液型矿床,地表会留下明显的矿物蚀变信息,通过遥感信息技术寻找和田玉矿床在理论上是可行的。本次研究在西昆仑康西瓦地区,使用哨兵二号、ASTER等多光谱数据和高分5号高光谱数据提取与和田玉矿化有关的蚀变信息,构建了一个以蚀变信息为主的遥感找矿找矿模型,圈定了多处和田玉遥感找矿远景区,并对找矿远景区进行了野外验证。在选取的多个和田玉遥感找矿远景区内,发现了和田玉矿的典型蚀变类型,即蛇纹石化与透闪石化,以及多处出露地表的大理岩和多处正在开采的玉石矿。野外验证结果表明,本次研究采用的和田玉遥感勘查技术是有效的。

大数据找矿信息平台建设及其在新一轮找矿突破战略行动中的应用

充分利用信息化手段支撑地质工作是地学研究的前沿领域.随着新一轮找矿突破战略行动的逐步展开,大数据信息技术对于开展地质找矿工作、构建地质信息数据库有重要意义.本文探讨了大数据在地质找矿行动中的作用与优势,并总结归纳了数据平台建设研究方法.大数据找矿信息平台的建设将为进一步找矿工作提供科学依据.借助大数据、云计算等现代信息技术为新一轮找矿突破战略行动赋能,这为找矿工作数据库体系的智能化建设提供了全新的思路.

基于SNA的煤矿工人安全信息认知影响因素研究

大多数煤矿事故是由人的不安全行为导致的,而人的不安全行为是煤矿工人安全信息认知水平力低下造成的。为预防和控制煤矿工人在安全信息认知失效下引发的煤矿安全事故,通过分析我国近年典型的煤矿事故案例,确定影响煤矿工人安全信息认知的3个一级指标和15个二级指标,并利用社会网络分析法构建煤矿工人安全信息认知网络;通过对安全信息认知因素进行整体网络密度、个体网络密度、节点的度数中心度、节点的中间中心度、关键影响因素和重要影响路径,得出辨识理解能力、安全知识等5个关键影响因子,并识别出关键影响路径。

基于ASTER和WorldView-3数据在新疆坡北地区蚀变矿物信息提取对比研究

利用ASTER和WorldView-3数据进行预处理,通过借鉴和分析ASTER数据矿物指数、矿物指数法理论、蚀变矿物光谱特征规律,总结提出WorldView-3数据蚀变矿物指数。通过观察研究区蚀变矿物信息分布情况,对比分析ASTER和WorldView-3数据蚀变矿物信息提取的适用性。ASTER数据更适用于赤铁矿、褐铁矿,黄钾铁矾矿物信息提取,WorldView-3数据更适用于白云母、绿泥石、绿帘石、菱铁矿、方解石矿物的信息提取。同时,结合研究区地质特征,预测了成矿远景区。基于ASTER和WorldView-3数据蚀变矿物指数,实现两种数据的优势互补,完善了WorldView-3数据蚀变矿物信息提取。预测成矿远景区对进一步找矿提供了参考。

长江经济带非金属矿采矿权时空变化特征分析

文章基于长江经济带非金属矿产数据,利用地理信息系统(geographic information system,GIS)空间分析方法和脱钩模型研究2007—2018年期间该地区非金属矿采矿权分布的时空变化特征。结果表明:非金属矿开采重心呈现出向西部地区移动的趋势;非金属矿采矿权分布呈现“西南—东北”的空间格局,且非金属矿高开采强度区呈现出收缩趋势;非金属矿采矿权分布具有显著的空间正相关特性,其中,高-高类型区域分布在贵州、江西等省份,低-低类型区域分布在浙江、江苏、安徽等省份;非金属矿采矿权面积与经济增长脱钩状态稳定,脱钩情况理想,经济发展对非金属矿产开发依赖性减小;建筑石料用灰岩采矿权分布的时空规律和非金属矿采矿权分布的时空规律相似,均呈现开采重心向西部偏移的态势。该研究结果反映了在2007—2018年中国经济高速发展期间,长江经济带非金属矿采矿权分布的时空特征变化及其影响因素,为今后非金属矿产资源开发空间布局优化提供空间决策参考。