岩(矿)石中真实矿物组成的计算及矿物化学成分的初步逼近

本文基于线性规划的数学模型,利用岩(矿)石化学分析资料,佐以矿物相的鉴定结果,能准确计算出岩(矿)石中真实矿物组成。在没有矿物化学成分分析数据的情况下,通过迭代、逼进,能同时给出岩矿石的真实矿物组成及矿物化学成分的逼近值,若进一步结合矿物晶体化学原理进行修正,可得出更为准确的结果。线性规划的数学模型还能应用于矿物端员组成的计算,天然及人工系统的物理化学平衡、岩石学混合计算等各个方面。     

把握新机遇实现新发展为实现我局"十五"改革发展目标任务而努力奋斗

这次会议是进入新世纪我局第一次工作会议,是一次总结过去,谋划未来的重要会议,开好这次会议对我局在新世纪实现新发展有着十分重要的意义.会议的主要内容是认真学习温家宝副总理的重要讲话精神,总结回顾"九五"地矿工作改革发展的基本情况,讨论修改我局"十五"改革发展纲要、"十五"前三年经济责任制考核办法和精神文明建设考核办法,安排部署2001年工作.下面我代表局党组作工作报告.     

基于GIS的单元簇遗传建模及其在区域矿产预测中的应用

论述一种GIS支持下的基于"单元簇”概念和遗传建模的多源地学信息综合分析方法及在多目标矿产预测中的应用.在以往矿产定量预测中,根据随机抽样思想进行单元划分,对空间信息利用不够充分.用单元的空间组合("单元簇”)代替单元作为定量类比的基本单位,从而能较好实现地质变量值及其所反映的局部地质空间结构的定量类比;将单元作为GIS区图元,利用GIS空间分析功能实现对单元及单元簇的管理和操作;以已知样品判对率最大为适应值计算准则,用遗传算法建立线性判别函数,可快速有效地实现多目标矿产定位预测.以新疆康古尔塔格地区金矿预测实例说明了其应用效果.     

浅析矿产资源储量动态管理现状、存在问题及对策

矿产资源开采必须实行有偿取得,有偿出让的本质是出让矿产资源储量,矿产资源的开发利用都是围绕矿产资源储量,离开矿产资源储量,采矿权的有偿出让就无从谈起。介绍了当前储量动态管理现状,提示了存在的问题,并就如何加强对矿产资源储量监管提出了对策并进行了探讨。     

从成矿构造动力学探讨脉状金矿床成矿深度

在综述国内外与韧性剪切带有关的脉状金矿床成矿动力学的新近研究成果后,根据成矿控矿构造动力学特征及其与成矿流体运移机制、矿物结晶特点的关系认为矿物结晶发生于地震微破裂导致成矿流体压力骤降后的低压力阶段,由矿物包裹体压力并按静岩压力梯度推算的成矿深度要明显小于矿床的实际成矿深度.本文提出一种新的成矿深度估算方法,其估算的成矿深度与目前大多数脉状金矿床中石英具有明显的韧性变形的特点相吻合.     

Quantification of mineral matter in the Argonne Premium Coals using interactive Rietveld-based X-ray diffraction

The mineral matter in the eight reference North American coal samples of the Argonne Premium Coal series has been investigated on a quantitative basis using X-ray diffraction (XRD) techniques. X-ray diffraction data obtained from electronic low-temperature (oxygen–plasma) ash (LTA) residues, from ashes produced by heating the coals in air at 370°C, and also from the raw coals themselves, were evaluated using an interactive data processing system ( ™) based on Rietveld interpretation methods. The results from the three types of material (LTA, 370°C ash and raw coal) were compared for each sample. This allowed the components present in the raw coals in crystalline form to be recognised separately from mineral artifacts produced, particularly in the low-rank coals, from interaction of organically associated elements (Ca, S, etc.) during the two ashing processes.After the allowance for the production of any artifacts, the quantitative mineral assemblages identified from XRD of the raw coals were found to be consistent, even for coals having a relatively low ash percentage (around 5%), with the results obtained from the respective mineral concentrates prepared by the ashing methods. The effects of heating the coal to 370°C could also be distinguished, relative to the raw coal or the LTA, through changes in components such as pyrite and the clay minerals.Although some areas of uncertainty exist, particularly with magnesium in the low-rank coals, the calculated chemical compositions of the coal ash derived from the mineral mixtures identified for each coal were also found to be consistent with the results of direct chemical analysis of the respective coal ash materials.     

澧县曾家河芒硝岩盐矿床开发浅析

本文在分析矿床内外部建设条件的基础上,根据芒硝岩盐原料市场行情,着重对矿床开发的经济社会效益进行了评价,初步评价表明:国家和企业均可获得较丰厚的利润,还可安置1400多人就业。建议进一步开展地质勘查工作。     

The study of the undiscovered mineral resources of the Tongass National Forest and adjacent lands,Southeastern Alaska

The quantitative probabilistic assessment of the undiscovered mineral resources of the 17.1-million-acre Tongass National Forest (the largest in the United States) and its adjacent lands is a nonaggregated, mineral-resource-tract-oriented assessment designed for land-planning purposes. As such, it includes the renewed use of gross-in-place values (GIPV's) in dollars of the estimated amounts of metal contained in the undiscovered resources as a measure for land-use planning.Southeastern Alaska is geologically complex and contains a wide variety of known mineral deposits, some of which have produced important amounts of metals during the past 100 years. Regional geological, economic geological, geochemical, geophysical, and mineral exploration history information for the region was integrated to define 124 tracts likely to contain undiscovered mineral resources. Some tracts were judged to contain more than one type of mineral deposit. Each type of deposit may contain one or more metallic elements of economic interest. For tracts where information was sufficient, the minimum number of as-yet-undiscovered deposits of each type was estimated at probability levels of 0.95, 0.90, 0.50, 0.10, and 0.05.The undiscovered mineral resources of the individual tracts were estimated using the U.S. Geological Survey's MARK3 mineral-resource endowment simulator; those estimates were used to calculate GIPV's for the individual tracts. Those GIPV's were aggregated to estimate the value of the undiscovered mineral resources of southeastern Alaska. The aggregated GIPV of the estimates is $40.9 billion.Analysis of this study indicates that (1) there is only a crude positive correlation between the size of individual tracts and their mean GIPV's: and (2) the number of mineral-deposit types in a tract does not dominate the GIPV's of the tracts, but the inferred presence of synorogenic-synvolcanic nickel-copper, porphyry copper skarn-related, iron skarn, and porphyry copper-molybdenum deposits does. The influence of this study on the U.S. Forest Service planning process is yet to be determined.     

陕西省矿泉水资源特征及开发对策

陕西省矿泉水资源丰富，开发条件优越，但发展速度较慢，存在着不少问题。针对全省矿泉水资源特点及开发中存在的问题，提出了矿泉水开发的具体对策。     

Knowledge-Driven and Data-Driven Fuzzy Models for Predictive Mineral Potential Mapping

In this paper, we describe new fuzzy models for predictive mineral potential mapping: (1) a knowledge-driven fuzzy model that uses a logistic membership function for deriving fuzzy membership values of input evidential maps and (2) a data-driven model, which uses a piecewise linear function based on quantified spatial associations between a set of evidential evidence features and a set of known mineral deposits for deriving fuzzy membership values of input evidential maps. We also describe a graphical defuzzification procedure for the interpretation of output fuzzy favorability maps. The models are demonstrated for mapping base metal deposit potential in an area in the south-central part of the Aravalli metallogenic province in the state of Rajasthan, western India. The data-driven and knowledge-driven models described in this paper predict potentially mineralized zones, which occupy less than 10% of the study area and contain at least 83% of the model and validation base metal deposits. A cross-validation of the favorability map derived from using one of the models with the favorability map derived from using the other model indicates a remarkable similarity in their results. Both models therefore are useful for predicting favorable zones to guide further exploration work.