基于Surpac软件的矿床模型构建及矿体资源量估算-以陕西山阳夏家店金钒矿床为例

文章介绍了陕西省山阳县夏家店金钒矿床矿体地质特征,矿体赋存于与寒武系有关的地层及断裂构造中。根据矿床以往地质勘查工程资料,应用Surpac软件建立了矿床数据库,建立了矿区地表模型、矿体模型和品位块体模型,模型形象直观的展现了矿区地形地貌、矿体展布位置及形态。应用普通克立格法建立的矿体品位块体模型,简洁清晰的表达了矿体品位分布位置及高低,并对部分矿体采用不同的基本块体单元估算了资源量,分析认为采用的基本块体单元越小,估算的矿体资源量越精确。将其与勘查报告中采用传统地质块段法估算的资源量进行了对比,表明采用该软件估算的矿体资源量可靠准确,计算过程高效、便捷。     

动态构建福建紫金山铜金矿矿体模型

为了将不同边界品位情况下矿体的形态及由边界品位变化引起的矿体形态变化程度在计算机中动态、实时地展现,同时也为了解矿体在不同工业指标条件下的空间形态,进行了矿体动态建模方法研究。采用了一种新的、基于矿体属性模型向其几何结构模型转化的方法--克里格块体法。通过该方法,基于指示克里格估值技术,使用块体模型＋实体模型的三维数据模型结构,动态地构建出了福建上杭紫金山铜金矿矿体在不同边界品位条件下、信息充分、完备且具高可信度的矿体模型,达到了使建模结果能够真正服务于矿山勘探和生产实践的效果。该方法具有一定的可扩展和易推广的性质,能够完成大多数类似矿山及类似地质体的动态建模过程。     

灰色GM(1,1)模型在山东焦家金矿床深部含矿性预测中的应用

运用灰色理论,以焦家金矿床矿体品位、厚度代表矿化的白化值,经过数据生成处理,建立了矿体品位、厚度灰色GM(1,1)模型.通过残差、后验差、关联度检验,研究了模型的可靠性,对影响预测模型精度的因素进行了分析,并提出了提高模型精度的方法;通过GM(1,1)模型预测,焦家金矿床Ⅰ,Ⅲ矿体金矿化强度自浅部向深部逐渐增强,Ⅱ号矿体品位自浅部向深部逐渐增高,但厚度有逐渐减小的趋势,总体矿化强度不及Ⅰ,Ⅲ矿体.     

矿体三维数据模型及品位插值方法研究

传统的储量计算方法采用几何平均法计算矿体的体积,用部分化验数据的平均品位代替矿块的整体品位,其计算精度很难满足需要.以三维矿体模型为基础计算矿体体积能够提高体积计算精度,以空间插值技术对矿体任意空间位置的品位进行估值,有助于提高品位估值的精度.提出了一种适于矿体储量计算的混合数据模型（线框块段模型）,详细论述了根据剖面数据生成矿体线框模型进而在线框模型基础上生成块段模型的方法.介绍了距离反比法和克立格法的原理,利用距离反比法结合某金矿体数据进行了储量估算,结果表明以线框块段模型为基础,采用空间插值技术计算矿体储量具有一定的实用价值.     

基于Surpac的紫金山金铜矿床三维地质建模

使用Surpac三维可视化数字矿山软件,建立了紫金山金铜矿床地质数据库,构建了矿床地表、采空区、巷道、金铜矿体的三维模型;利用地质统计学方法,对样长、组合样长进行基本统计,分析频率累计曲线,确定特高品位并进行处理,开展矿体走向、倾向、厚度方向的变异函数分析和曲线拟合,建立了变异函数模型;确定了估值方法和估值参数,主矿体采用普通克里格法,小矿体采用距离幂次反比法进行估值,建立了带有丰富属性值的矿体块体模型。实践表明,所建地质模型总体可靠性强,适用性符合要求,极大地提高了工作效率。     

属性-结构(P-S)矿体动态建模方法

针对空间形态复杂的矿体三维模型动态构建难度大的问题,从决定其空间分布的本质属性出发,提出了一种解决途径:属性-结构(P-S)动态建模方法.先在较大的空间范围内构建出矿石属性模型;再依据不同的工业指标参数等约束条件,动态提取生成矿体属性模型和结构模型.在详细阐述传统矿体建模方法的驱动机制及决定矿体动态建模的本质属性的基础上,对这种方法的原理、特点及实现过程进行了详细阐述.理论分析及实践表明:矿体P-S动态建模方法能够以较高的质量和效率动态构建出形态复杂、信息量丰富的矿体三维模型,具有一定的可实践性和理论意义.     

铜坑矿锌多金属矿体三维可视化模型构建

构建矿体三维可视化模型对指导资源优化开采具重要意义。利用3DMine软件对铜坑矿锌多金属矿体钻孔勘探数据进行整理和分析,构建了矿山地表地形、矿体赋存状态及井巷工程布置等三维可视化模型。     

三维模型在新疆梅岭铜矿勘探中的应用

梅岭矿区勘探程度较高,积累了大量的地质资料及研究成果,此次研究,建立了梅岭矿区三维地质数据库,应用Micromine软件建立铜矿体三维模型及Fm1断层模型,并应用距离反比法对M1和M2号矿体矿块模型进行空间插值,获得相应的品位模型.通过对比不同勘探网度条件下的矿体三维模型及矿体品位、矿石储量等特征的变化,探讨了在M1和M2号矿体勘探范围内设计勘探网度的合理性.     

3D矿床建模技术在数字矿产勘查中的应用

为弥补现有数字矿床建模技术在地质矿产勘查处理和应用中的不足,从原始勘查数据建库及标准化、多指标单工程矿体自动圈定、基于语义识别的剖面矿体的连接与外推、矿体表面和品位建模、基于剖面矿体线框模型构建矿体表面模型及基于TIN+Octree数据结构和地质统计学理论建立矿体的空间属性模型等5个方面总结提出一套面向地质矿产勘查业务处理的矿床建模流程和总体技术解决方案.提高了地质矿产勘查研究精度,为进一步的矿山开采提供可靠的数据模型.      

基于Datamine的大厂矿体三维可视化

以广西大厂矿体为研究对象,应用Datamine 构建了矿体的三维模型,通过模型能直观清楚地看到地层的空间特征,矿体的空间位置;为计算矿体储量和品位报告奠定了基础,从而为矿山合理开发利用资源提供科学依据.     

Isotopic systematics of He,Ar, S,Cu, Ni,Re, Os,Pb, U,Sm, Nd,Rb, Sr,Lu, and Hf in the rocks and ores of the Norilsk deposits

This paper reports the first results of a study of 11 isotope systems (³He/⁴He, ⁴⁰Ar/³⁶Ar, ³⁴S/³²S, ⁶⁵Cu/⁶³Cu, ⁶²Ni/⁶⁰Ni, ⁸⁷Sr/⁸⁶Sr, ¹⁴³Nd/¹⁴⁴Nd, ^206–208Pb/²⁰⁴Pb, Hf–Nd, U–Pb, and Re–Os) in the rocks and ores of the Cu–Ni–PGE deposits of the Norilsk ore district. Almost all the results were obtained at the Center of Isotopic Research of the Karpinskii All-Russia Research Institute of Geology. The use of a number of independent genetic isotopic signatures and comprehensive isotopic knowledge provided a methodic basis for the interpretation of approximately 5000 isotopic analyses of various elements. The presence of materials from two sources, crust and mantle, was detected in the composition of the rocks and ores. The contribution of the crustal source is especially significant in the paleofluids (gas–liquid microinclusions) of the ore-forming medium. Crustal solutions were probably a transport medium during ore formation. Air argon is dominant in the ores, which indicates a connection between the paleofluids and the atmosphere. This suggests intense groundwater circulation during the crystallization of ore minerals. The age of the rocks and ores of the Norilsk deposits was determined. The stage of orebody formation is restricted to a narrow age interval of 250 ± 10 Ma. An isotopic criterion was proposed for the ore-bearing potential of mafic intrusions in the Norilsk–Taimyr region. It includes several interrelated isotopic ratios of various elements: He, Ar, S, and others.     

高压微波消解法测定醋酸纤维过滤器采集的微尘粒子中的砷镉钴铬铜铁锰镍铅钒锌

最新的流行病学研究表明,空气中较高浓度的悬浮细颗粒可能对人类的健康有不利的影响。根据该项研究显示,由于心脏病、慢性呼吸问题和肺功能指标恶化而导致死亡率的升高与细尘粒子有关。这些研究结果已经促使欧盟于1999年4月出台了限制空气中二氧化硫、二氧化氮、氧化氮、铅和颗粒物含量的法案(1999/30/EC),对各项指标包括对可吸入PM10颗粒的浓度提出了新的限制性指标。PM10颗粒是指可以通过预分级器分离采集的气体动力学直径小于10μm的细颗粒。目前研究的兴趣重点逐步偏向PM2.5这些更细微颗粒物,PM2.5这种颗粒物对健康有明显的不利影响。在欧盟指令2008/50/EC中,对PM10和PM2.5都提     

Wavelength-dispersive X-ray fluorescence spectrometric determination of Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th in komatiites

Komatiites are mantle-derived ultramafic volcanic rocks. Komatiites have been discovered in several States of India, notably in Karnataka. Studies on the distribution of trace-elements in the komatiites of India are very few. This paper proposes a simple, accurate, precise, rapid, and non-destructive wavelength-dispersive x-ray fluorescence (WDXRF) spectrometric technique for determining Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th in komatiites, and discusses the accuracy, precision, limits of detection, x-ray spectral-line interferences, inter-element effects, speed, advantages, and limitations of the technique. The accuracy of the technique is excellent (within 3%) for Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Zr, Nb, Ba, Pb, and Th and very good (within 4%) for Y. The precision is also excellent (within 3%) for Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th. The limits of detection are: 1 ppm for Sc and V; 2 ppm for Cr, Co, and Ni; 3 ppm for Cu, Zn, Rb, and Sr; 4 ppm for Y and Zr; 6 ppm for Nb; 10 ppm for Ba; 13 ppm for Pb; and 14 ppm for Th. The time taken for determining Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th in a batch of 24 samples of komatiites, for a replication of four analyses per sample, by one operator, using a manual WDXRF spectrometer, is only 60 hours.     

Regional distribution of Al,B, Ba,Ca, K,La, Mg,Mn, Na,P, Rb,Si, Sr,Th, U and Y in terrestrial moss within a 188,000 km2 area of the central Barents region: influence of geology,seaspray and human activity

Five hundred and ninety-eight samples of terrestrial moss (Hylocomium splendens and Pleurozium schreberi) collected from a 188,000 km² area of the central Barents region (NE Norway, N Finland, NW Russia) were analysed by ICP-AES and ICP-MS. Analytical results for Al, B, Ba, Ca, K, La, Mg, Mn, Na, P, Rb, Si, Sr, Th, U and Y concentrations are reported here. Graphical methods of data analysis, such as geochemical maps, cumulative frequency diagrams, boxplots and scatterplots, are used to interpret the origin of the patterns for these elements. None of the elements reported here are emitted in significant amounts from the smelting industry on the Kola Peninsula. Despite the conventional view that moss chemistry reflects atmospheric element input, the nature of the underlying mineral substrate (regolith or bedrock) is found to have a considerable influence on moss composition for several elements. This influence of the chemistry of the mineral substrate can take place in a variety of ways. (1) It can be completely natural, reflecting the ability of higher plants to take up elements from deep soil horizons and shed them with litterfall onto the surface. (2) It can result from naturally increased soil dust input where vegetation is scarce due to harsh climatic conditions for instance. Alternatively, substrate influence can be enhanced by human activity, such as open-cast mining, creation of ‘technogenic deserts’, or handling, transport and storage of ore and ore products, all of which magnify the natural elemental flux from bedrock to ground vegetation. Seaspray is another natural process affecting moss composition in the area (Mg, Na), and this is most visible in the Norwegian part of the study area. Presence or absence of some plant species, e.g., lichens, seems to influence moss chemistry. This is shown by the low concentrations of B or K in moss on the Finnish and Norwegian side of the (fenced) border with Russia, contrasting with high concentrations on the other side (intensive reindeer husbandry west of the border has selectively depleted the lichen population).     

Petrographic, mineralogy, and geochemistry of coals of Pabedana, Kerman Province, Central Iran

This paper discusses the result of the detailed investigations carried out on the coal characteristics, including coal petrography and its geochemistry of the Pabedana region. A total of 16 samples were collected from four coal seams d2, d4, d5, and d6 of the Pabedana underground mine which is located in the central part of the Central-East Iranian Microcontinent. These samples were reduced to four samples through composite sampling of each seam and were analyzed for their petrographic, mineralogical, and geochemical compositions. Proximate analysis data of the Pabedana coals indicate no major variations in the moisture, ash, volatile matter, and fixed carbon contents in the coals of different seams. Based on sulfur content, the Pabedana coals may be classified as low-sulfur coals. The low-sulfur contents in the Pabedana coal and relatively low proportion of pyritic sulfur suggest a possible fresh water environment during the deposition of the peat of the Pabedana coal. X-ray diffraction and petrographic analyses indicate the presence of pyrite in coal samples. The Pabedana coals have been classified as a high volatile, bituminous coal in accordance with the vitrinite reflectance values (58.75–74.32 %) and other rank parameters (carbon, calorific value, and volatile matter content). The maceral analysis and reflectance study suggest that the coals in all the four seams are of good quality with low maceral matter association. Mineralogical investigations indicate that the inorganic fraction in the Pabedana coal samples is dominated by carbonates; thus, constituting the major inorganic fraction of the coal samples. Illite, kaolinite, muscovite, quartz, feldspar, apatite, and hematite occur as minor or trace phases. The variation in major elements content is relatively narrow between different coal seams. Elements Sc,, Zr, Ga, Ge, La, As, W, Ce, Sb, Nb, Th, Pb, Se, Tl, Bi, Hg, Re, Li, Zn, Mo, and Ba show varying negative correlation with ash yield. These elements possibly have an organic affinity and may be present as primary biological concentrations either with tissues in living condition and/or through sorption and formation of organometallic compounds.     

Mercury,arsenic, antimony,and selenium contents of sediment from the Kuskokwim River,Bethel, Alaska,USA

The Kuskokwim River at Bethel, Alaska, drains a major mercury-antimony metallogenic province in its upper reaches and tributaries. Bethel (population 4000) is situated on the Kuskokwim floodplain and also draws its water supply from wells located in river-deposited sediment. A boring through overbank and floodplain sediment has provided material to establish a baseline datum for sediment-hosted heavy metals. Mercury (total), arsenic, antimony, and selenium contents were determined; aluminum was also determined and used as normalizing factor. The contents of the heavy metals were relatively constant with depth and do not reflect any potential enrichment from upstream contaminant sources.     

Coprecipitation of Ti,Mo, Sn and Sb with fluorides and application to determination of B,Ti, Zr,Nb, Mo,Sn, Sb,Hf and Ta by ICP-MS

We examined the coprecipitation behavior of Ti, Mo, Sn and Sb in Ca–Al–Mg fluorides under two different fluoride forming conditions: at < 70 °C in an ultrasonic bath (denoted as the ultrasonic method) and at 245 °C using a Teflon bomb (denoted as the bomb method). In the ultrasonic method, small amounts of Ti, Mo and Sn coprecipitation were observed with 100% Ca and 100% Mg fluorides. No coprecipitation of Ti, Mo, Sn and Sb in Ca–Al–Mg fluorides occurred when the sample was decomposed by the bomb method except for 100% Ca fluoride. Based on our coprecipitation observations, we have developed a simultaneous determination method for B, Ti, Zr, Nb, Mo, Sn, Sb, Hf and Ta by Q-pole type ICP-MS (ICP-QMS) and sector field type ICP-MS (ICP-SFMS). 9–50 mg of samples with Zr–Mo–Sn–Sb–Hf spikes were decomposed by HF using the bomb method and the ultrasonic method with B spike. The sample was then evaporated and re-dissolved into 0.5 mol l^− 1 HF, followed by the removal of fluorides by centrifuging. B, Zr, Mo, Sn, Sb and Hf were measured by ID method. Nb and Ta were measured by the ID-internal standardization method, based on Nb/Mo and Ta/Mo ratios using ICP-QMS, for which pseudo-FI was developed and applied. When 100% recovery yields of Zr and Hf are expected, Nb/Zr and Ta/Hf ratios may also be used. Ti was determined by the ID-internal standardization method, based on the Ti/Nb ratio from ICP-SFMS. Only 0.053 ml sample solution was required for measurement of all 9 elements. Dilution factors of ≤ 340 were aspirated without matrix effects. To demonstrate the applicability of our method, 4 carbonaceous chondrites (Ivuna, Orgueil, Cold Bokkeveld and Allende) as well as GSJ and USGS silicate reference materials of basalts, andesites and peridotites were analyzed. Our analytical results are consistent with previous studies, and the mean reproducibility of each element is 1.0–4.6% for basalts and andesites, and 6.7–11% for peridotites except for TiO₂.