Geodynamic settings and tectonic model of skarn gold deposits in China: An overview

Seventy skarn-type gold deposits, including 1 super-large, 19 large and 24 medium-sized, are known from different geotectonic units of China. They contain a total resource of approximately 1000 t of gold (625 t in South China), and account for 20% of China's gold reserves. These skarn deposits are sited in collisional orogenic belts, fault-controlled magmatic belts and reactivated cratonic margins. All of the Chinese skarn gold provinces were affected by Phanerozoic collisional orogenesis. The timing of the metallogenic events and the spatial–temporal distribution of the Chinese skarn gold deposits indicates that they were formed during ore-forming processes linked to the transition from shortening to extension in the geodynamic evolution of a collision orogen, and not to subduction systems as is commonly advocated for porphyry copper systems around the Pacific Rim.     

A Preliminary Review of Metallogenic Regularity of Tin Deposits in China

China is rich in tin resources,and contains many types of tin deposits.Among the tin deposit types,the cassiterite-sulfide type,skarn type and quartz vein type occupy a large proportion of tin resources and reserves.From the aspect of exploitation and utilization,the most important types are cassiterite-sulfide type and quartz vein type.The cassiterite-sulfide type tin deposits are mainly located in Northern Guangxi and Eastern Yunnan,skarn type deposits are mainly distributed in the ore-concentration areas of South Hunan in Middle Nanling,and the quartz vein type tin deposits are mainly distributed in South China,such as Western Fujian,Middle Jiangxi,Northern Guangzhou and Southern Hunan.The most important metallogenic epoch for tin deposits is the Mesozoic era.The metallogenic geotectonic background is mainly continental environments after orogeny process,with strong tectonic changes,interlaced deep fracture and frequent magmatism.And the most distinctive feature is the well developed Mesozoic granites,which have a close relationship with tin mineralization.Based on the detailed study of the data from 873 tin deposits in China,this paper summarized the metallogenic regularity of tin deposits,classified 20 important metallogenic series of tin or tin-associated deposits,and inferred that the cassiterite-sulfide type,skarn type,quartz vein type and greisen type are the main prediction types of tin resources.Forty-four tin-mineralization belts were divided,among which,19 belts are the most important.In addition,a series of maps about tin metallogenic belts and tin metallogenic regularity were compiled,aiming to provide theoretical basis for potential estimation and prediction of tin mineral resources.     

Risk quantification with combined use of lithological and grade simulations: Application to a porphyry copper deposit

The uncertainty in the recoverable tonnages and grades in a mineral deposit is a key factor in the decision-making process of a mining project. Currently, the most prevalent approach to model the uncertainty in the spatial distribution of mineral grades is to divide the deposit into domains based on geological interpretation and to predict the grades within each domain separately. This approach defines just one interpretation of the geological domain layout and does not offer any measure of the uncertainty in the position of the domain boundaries and in the mineral grades. This uncertainty can be evaluated by use of geostatistical simulation methods. The aim of this study is to evaluate how the simulation of rock type domains and grades affects the resources model of Sungun porphyry copper deposit, northwestern Iran. Specifically, three main rock type domains (porphyry, skarn and late-injected dykes) that control the copper grade distribution are simulated over the region of interest using the plurigaussian model. The copper grades are then simulated in cascade, generating one grade realization for each rock type realization. The simulated grades are finally compared to those obtained using traditional approaches against production data.     

Mineral Deposit Densities for Estimating Mineral Resources

Estimates of numbers of mineral deposits are fundamental to assessing undiscovered mineral resources. Just as frequencies of grades and tonnages of well-explored deposits can be used to represent the grades and tonnages of undiscovered deposits, the density of deposits (deposits/area) in well-explored control areas can serve to represent the number of deposits. Empirical evidence presented here indicates that the processes affecting the number and quantity of resources in geological settings are very general across many types of mineral deposits. For podiform chromite, porphyry copper, and volcanogenic massive sulfide deposit types, the size of tract that geologically could contain the deposits is an excellent predictor of the total number of deposits. The number of mineral deposits is also proportional to the type’s size. The total amount of mineralized rock is also proportional to size of the permissive area and the median deposit type’s size. Regressions using these variables provide a means to estimate the density of deposits and the total amount of mineralization. These powerful estimators are based on analysis of ten different types of mineral deposits (Climax Mo, Cuban Mn, Cyprus massive sulfide, Franciscan Mn, kuroko massive sulfide, low-sulfide quartz-Au vein, placer Au, podiform Cr, porphyry Cu, and W vein) from 108 permissive control tracts around the world therefore generalizing across deposit types. Despite the diverse and complex geological settings of deposit types studied here, the relationships observed indicate universal controls on the accumulation and preservation of mineral resources that operate across all scales. The strength of the relationships (R ²=0.91 for density and 0.95 for mineralized rock) argues for their broad use. Deposit densities can now be used to provide a guideline for expert judgment or used directly for estimating the number of most kinds of mineral deposits.     

Mineral assemblages of the Francisco I. Madero Zn–Cu–Pb–(Ag) deposit, Zacatecas, Mexico: Implications for ore deposit genesis

The Francisco I. Madero deposit, central Mexico, occurs in the Mesozoic Guerrero Terrane, which hosts many ore deposits, both Cretaceous (volcanogenic massive sulfides) and Tertiary (epithermal and skarn deposits). It is hosted by a 600 m-thick calcareous-pelitic unit, of Lower Cretaceous age, crosscut by porphyritic dikes that strike NW–SE. A thick felsic volcanic Tertiary sequence, consisting of andesites and rhyolitic ignimbrites, unconformably overlies the Cretaceous series. At the base, the mineralization consists of several mantos developed within calcareous beds. They are dominantly composed of sphalerite, pyrrhotite and pyrite with minor chalcopyrite, arsenopyrite and galena. At the top of the orebody, there are calcic skarns formed through prograde and retrograde stages. The resulting mineral assemblages are rich in manganoan hedenbergite (Hd_75–28Di_40–4Jh_40–20), andraditic garnets (Adr_100–62Grs_38–0), epidote (Ep_95–36Czo_60–5Pie_8–0), chamosite, calcite and quartz. The temperature of ore deposition, estimated by chlorite and arsenopyrite geothermometry, ranges from 243° to 277 °C and from 300° to 340 °C, respectively. The pressure estimated from sphalerite geobarometry averages 2.1 kbar. This value corresponds to a moderately deep skarn and agrees with the high Cu content of the deposit. Paragenesis, P–T conditions and geological characteristics are compatible with a distal, dike-related, Zn skarn deposit. Its style of mineralization is similar to that of many high-temperature carbonate replacement skarn deposits in the Southern Cordillera.     

中国锡矿成矿规律概要

我国锡矿资源丰富,矿床类型比较齐全。在锡矿资源储量中占有较大比重的主要是锡石—硫化物型、矽卡岩型和石英脉型;从开采和利用角度来说,最为重要的是锡石—硫化物型和石英脉型。锡石—硫化物型主要集中在桂北、滇东等地,矽卡岩型集中分布在南岭中段湘南等矿集区、石英脉型则主要集中在华南地区的闽西、赣中、粤北、湘南等地;成矿时代以中生代最为重要;成矿大地构造背景以造山运动之后的大陆环境为主,构造变动剧烈,深大断裂纵横交错,岩浆活动频繁,特别是与锡成矿作用关系密切的中生代花岗岩类非常发育,最具特色。本次在对全国873处锡矿矿产地资料进行系统梳理的基础上,深入总结了全国锡矿的成矿规律,厘定出20个以锡为主或锡较为重要的矿床成矿系列,认为锡石—硫化物型、矽卡岩(—云英岩型)、石英脉型和岩体型4类锡矿类型,应该作为重点预测类型,并划分出44个成锡带,提出了19个重要工作部署区,并编制了中国成锡带图、中国锡矿成矿规律图等系列图件,为潜力评价预测工作提供了理论依据。     

锡矿自然重砂矿物组合规律及其找矿意义

为探究不同类型锡矿床所反映出的自然重砂矿物组合特征,统计了云南、福建、江西、浙江、湖南、青海和广西7省共35个典型锡矿床的自然重砂情况,通过计算和分析各自然重砂矿物在所对应类型矿床中的报出频率,得出矽卡岩型、热液脉型和斑岩型3种锡矿所对应的自然重砂矿物组合。所反映出的重砂矿物组合既有相似之处,如均出现锡石+白钨矿(或黑钨矿)的矿物组合,亦反映出不相同的地方,如矽卡岩型锡矿石榴子石报出率高,斑岩型锡矿锆石报出率高等。因此,按照矿床类型建立的自然重砂矿物组合对于建立自然重砂找矿模型具有重要意义。     

资源定量评价发展方向展望

未来的资源定量评价希望能够评估未发现矿产资源的量、价值并对其进行定位预测, 以能够表达矿产资源的经济潜力和不确定性.近年来金属价格的长期下跌提出了对更大型的矿床的需求.敏感度分析表明了减少评价中不确定性和风险的最有效途径是降低有关吨位估计因素的不确定性.到目前为止, 在评价中所有可能造成误差的因素中, 那些与吨位估计误差有关的因素是最重要的.鉴于吨位模型的绝对重要地位以及矿床模型是吨位最有效的预测手段, 正确地选择矿床模型是控制误差最重要的途径.地表大部分地区被大面积裸露的岩石和沉积物所覆盖.由于很多出露地表的矿床已经被发现, 人们开始把注意力转向盖层下面岩石可能显露的矿化信息上.这些区域的资源评价必需依靠对其周边地区的外推、地下覆盖岩石新的地质填图或者通过在其他成功勘探区获得的经验进行类推.盖层对评价的不确定性以及评价的方法与程序都具有深远的影响, 因为地下地质现象的不可见性和地球物理方法所获得的是一种被削弱了的信息.许多早期的评价方法都是基于从那些出露地表的矿床中总结出的地球化学和地球物理变量之间的关系而进行的, 而现在我们同样需要研究基于地下隐伏矿床的勘探经验.矿床模型在资源定量评价中的重要地位基于以下两个原因: (1) 大多数矿床类型具有明显不同的品位和吨位分布; (2) 不同的矿床类型出现在不同的地质背景中, 而这种背景可从地质图中进行区分.在综合利用地质、矿产、地球物理和地球化学等地学信息进行资源评价及矿床勘探中, 矿床模型起着至关重要的作用.品位和吨位模型以及定量描述、经济和矿床密度模型的发展将有利于减少这些新的评价的不确定性.      

中国锡矿床时空分布特征与潜力评价

锡矿是中国传统优势矿种,但是近年来遇到了找矿潜力区不足和找矿方向不明等问题,急需进一步分析和总结其地质特征、成矿规律和资源潜力,为今后地质找矿工作提供借鉴。文中采用矿床模型综合地质信息预测方法,在各省区锡矿资源潜力预测成果的基础上,以MapGIS为平台,进行数据库汇总与综合分析研究。首先,基于全国893处锡矿产地数据的统计分析,初步总结了中国锡矿时空分布特征,岩浆岩、构造和地层等控矿因素。其次,根据锡矿床及预测区的空间分布和大地构造单元,划分了44个锡矿成矿区带。再次,将锡矿的预测类型划分为石英脉型、锡石硫化物型、夕卡岩型、云英型、伟晶岩型、火山岩型和砂矿型,并建立了主要锡矿类型的预测模型。最后,在全国范围累计圈定1 179个最小预测区,累计预测资源量1 861.13×104 t。根据锡矿区域成矿特征,将最小预测区归并为405个二级预测区,并进一步合并为109个锡矿三级预测区,其中找矿潜力大的湖南香花岭-千里山和塔山-大义山、云南个旧和薄竹山-都龙、内蒙古黄冈梁等5个三级预测区可优先部署锡矿勘查工作。预测结果还表明锡矿在500 m以浅的找矿空间里仍有很大资源潜力,因此,找矿工作应注重深浅结合,在重视老矿山深部外围找矿的同时,还应重视覆盖区和非传统锡矿类型等新领域的找矿勘查。     

云南镇康地区铅锌多金属矿成矿规律

镇康地区位于西南"三江"成矿带南段,是云南省重要的铅锌铁铜多金属矿矿集区之一。区内以铅锌矿为主,次为铁、锡,伴生铜、银;已发现超大型铅锌矿1个,中型铅锌矿3个,小型锡矿1个。文章认为区内的寒武系沙河厂组、核桃坪组及保山组碳酸盐岩地层和奥陶系是本区重要的赋矿层位,铅锌多金属矿床受构造控制明显,多分布在区域褶皱核部断裂带上,往往与夕卡岩型铁矿及夕卡岩体相伴,且产于花岗岩体与围岩接触带上。因此,区内的磁异常及区域低重力场中的次级重力高异常是寻找铅锌多金属矿的主要标志,而铅、锌、铜、银等元素的化探异常及重砂异常范围可指示铅锌矿的存在区域。     

Effects of intrusions on grades and contents of gold and other metals in volcanogenic massive sulfide deposits

The reason some VMS deposits contain more gold or other metals than others might be due to the influence of intrusions. A new approach examining this possibility is based on examining the information about many VMS deposits to test statistically if those with associated intrusions have significantly different grades or amounts of metals. A set of 632 VMS deposits with reported grades, tonnages, and information about the observed presence or absence of subvolcanic or plutonic intrusive bodies emplaced at or after VMS mineralization is statistically analyzed.Deposits with syn-mineralization or post-mineralization intrusions nearby have higher tonnages than deposits without reported intrusions, but the differences are not statistically significant. When both kinds of intrusions are reported, VMS deposit sizes are significantly higher than in the deposits without any intrusions. Gold, silver, zinc, lead, and copper average grades are not significantly different in the VMS deposits with nearby intrusions compared to deposits without regardless of relative age of intrusive. Only zinc and copper contents are significantly higher in VMS deposits with both kinds of intrusive reported. These differences in overall metal content are due to significantly larger deposit sizes of VMS deposits where both intrusive kinds are observed and reported, rather than any difference in metal grades.     

夕卡岩矿床研究的某些重要新进展

夕卡岩矿床是一种具有重要工业意义的矿床类型，是世界上富铁矿，钨、锡、铋、铅锌，金和金云母，透辉石，硅灰石等金属和非金属矿产的重要来源。这类矿床不仅分布广泛，矿物组合特殊，而且包含有内生成矿作用许多复杂的成因信息。因此，一个多世纪以来国际上对夕卡岩矿床的研究长盛不衰，不断有所创新，文章回顾了近二十年来，在成矿的构造背景，矿床的多成因性，岩浆期和岩浆夕卡岩，碱交代与成矿，交代分带，含银铅锌锰质夕卡岩，含金夕卡岩和夕卡岩含矿性评价标志等方面新的研究进展。     

Defining trace-element alteration halos to skarn deposits hosted in heterogeneous carbonate rocks: Case study from the Cu–Zn Antamina skarn deposit,Peru

The presence of geochemical anomalies, defining haloes around hydrothermal ore deposits, can be used to vector towards mineralization, or identify ore bodies buried at depth. Several important types of ore deposits, including skarn deposits, are often hosted within carbonate-rich sedimentary rocks. Identifying anomalous trace-element concentrations in carbonate rocks is complicated by variable lithology (i.e. siliciclastic component) and volume loss during hydrothermal alteration. In this study of the world-class Antamina skarn deposit in Peru, we use the ratio of metals:immobile elements (e.g. La, Al₂O₃) to differentiate genuine and false geochemical anomalies in limestones and marbles surrounding the skarn deposit. Unaltered limestones are used to define threshold values for metal:immobile element ratios (through use of the median value ± 2 median absolute deviations). Genuine anomalies are identified when metal concentrations exceed those predicted using median + 2 median absolute deviations. In addition, comparison of “four acid” and lithium-borate fusion analytical techniques reveals that the lower cost four-acid techniques give reliable results. Our approach can be used to identify geochemical anomalies and halos related to hydrothermal alteration of carbonate-rich rocks, which have direct application to skarn deposits.     

安徽沿江坳陷多金属成矿带控矿因素与找矿建议

安徽沿江坳陷是长江中下游铁铜成矿带的重要组成部分,近10年来安徽新发现的具有较高经济价值的金属矿床几乎全都在该区。侵入岩体周边不同性质的围岩往往对矿床的类型具有控制作用;区域性深大断裂控制了成矿母岩的形成和分布,而具体的矿床构造(褶皱、断裂、接触带)控制着成矿有利空间(低压带)的分布;燕山中晚期中性-中酸性混熔型钙碱性岩浆岩不仅控制金属矿床的产出部位,还提供了成矿物质、热能,并产生成矿热液;矿床均围绕岩体分布,具有矿种和矿物组合等方面的水平-垂向分带;成矿时代为130~155 Ma,金属矿床分为玢岩型铁矿、夕卡岩型铁矿、斑岩型铜矿、夕卡岩型铜矿、层控型铁铜矿等5种矿床类型,各类型之间存在过渡、共生、叠加关系,构成中性-中酸性岩浆成矿系列。建议在今后的找矿工作中,要选好靶区、就矿找矿,加强中性-中酸性岩浆岩和控矿构造的研究,并注意技术方法的有效性与多解性。     

云南三江地区典型金矿床吨位-边界品位曲线特征

吨位-平均品位-边界品位曲线是矿床评价的重要参考,也是理解成矿过程的一个窗口。本文借助吨位-平均品位-边界品位分形模型,选取我国三江地区典型金矿床的局部地段矿体——北衙万硐山磁铁矿-赤铁矿型矿体、镇沅冬瓜林浸染状低温硫化物型矿体、大龙潭氧化硫化物型矿体以及勐满热水塘强硅化泥化蚀变的热泉型矿体;热水塘主要为低品位矿石,而其它三个矿床品位相对较高;分别计算了四个金矿床的吨位-边界品位曲线,并分析其特征。文章提出矿化分散指数(MDI),将其定义为K_o=－ΔO/ΔG_c,K_m=－ΔM/ΔG_c(ΔG_c为两个边界品位之差,ΔO与ΔM分别为相对应的矿石量与金属量之差);K_o与K_m值越小,表明空间中金属分布相对分散。文中分析的四个金矿床的曲线均是低边界品位区间的矿化分散指数较高(MDI₁,即K_o1,K_m1),高边界品位区间的矿化分散指数相对较低(MDI₂,即K_o2,K_m2);说明在不同类型金矿床中,高品位区间比低品位区间的金属空间分布更加分散。K_o1和K_o2由高到低依次为热水塘、大龙潭、万硐山和冬瓜林,K_m1和K_m2由高到低依次为热水塘、万硐山、大龙潭和冬瓜林。热水塘的矿化分散指数比其他三个矿床高,说明热泉型金矿成矿元素空间分布比较集中。     

安徽庐枞盆地龙桥铁矿床中钴的赋存状态和空间分布规律

中国东部的长江中下游、莱芜、邯邢和临汾等矿集区中发育大量的矽卡岩型铁矿床,其中普遍伴生钴,部分矿床估算伴生钴资源量大于1万t,达到中型钴矿床的规模。已有研究表明,中国东部富钴矽卡岩型铁矿床的成矿时代相同,成矿特征相似,均为中国东部130Ma大规模成矿作用的产物,反映较大规模的铁钴成矿作用受统一的动力学背景控制。钴与其他伴生组分一样,其工业价值主要不取决于矿石中钴的含量,而取决于钴的赋存状态,因此开展矽卡岩型铁矿床中钴的赋存状态和分布规律研究具有重要的理论和实践意义。龙桥矽卡岩型铁矿床位于长江中下游成矿带,是目前发现的成矿带内伴生钴含量最高的矿床。矿床主矿体长1000m,成矿岩体位于矿体中部,黄铁矿分布范围广,距离岩体中心不同距离均有分布,是研究矽卡岩型铁矿床中钴赋存状态和空间分布规律的理想对象。本次研究在龙桥铁矿床勘探巷道-370m平面自西向东采集了9件含黄铁矿样品,黄铁矿主要呈浸染状-细脉状交代磁铁矿。研究表明,龙桥铁矿床中钴主要赋存在黄铁矿和磁铁矿中,其次为独立钴矿物(主要为辉砷钴矿)。黄铁矿的LA-ICP-MS微区微量元素分析结果表明,龙桥黄铁矿中Co(0.019×10~(-6)～5639×10~(-6))、Ni(0.025×10~(-6)～5798×10~(-6))和As(0.46×10~(-6)～14526×10~(-6))的含量均具有较大的变化范围,黄铁矿总体上具有边缘富钴、核部贫钴的特征,黄铁矿边部的钴含量是核部的100～1000倍。通过对LA-ICP-MS测试数据以及时间分辨率剖面的逐一对比,推测Co主要以类质同象形式替代Fe进入黄铁矿晶格。由于钴在黄铁矿中分布极不均匀,不同空间位置采集的黄铁矿样品中Co含量平均值和变化范围没有明显规律。本文通过类比,提出中国东部矽卡岩型铁矿床中钴矿物可能是普遍存在的,但以前受限于分析测试手段未能发现;如何在选矿过程中分离富集钴矿物和富钴黄铁矿,是矽卡岩型铁矿床硫精粉中钴回收利用的关键。     

中国铁矿床品位-吨位模型

文章以2005年国家有关部门公布的铁矿储量数据为依据,在拥有翔实和权威的铁矿数据材料的基础上,经过分析整理和统计计算,以铁矿的6种矿床类型(沉积变质型、沉积型、矽卡岩型、岩浆岩型、火山岩型和风化型)为划分依据,建立了中国铁矿及其伴生矿种的品位和吨位模型,并对其品位-吨位联合分布的模型进行了研究。通过研究得出结论,中国铁矿的资源量不服从正态分布,经过对数变换后服从正态分布,品位除了矽卡岩之外都直接服从正态分布。由于铁矿的品位和吨位之间相关性较差,因而不具备分形特征。最后通过建立吨位和品位的直方图来构造正态分布函数,从而实现累计概率曲线的拟合。在取得了远景区的矿床类型、矿床数分布以及矿床的品位和吨位的累计概率曲线后,可以使用计算机通过蒙特卡洛模拟的方法来实现远景区资源量的预测和模拟。     

甘肃玛曲大水金矿成矿过程中资源量生长的数量规律

大水金矿床是著名的超大型矿床.在借鉴前人矿床地质研究成果的基础上, 通过对矿体规模数据的多重分形特征及吨-品位关系研究, 揭示了成矿过程中资源量生长的数量规律.矿体长度服从简单分形分布, 矿床资源量的吨-品位关系能用指数函数或直线方程更好地拟合, 矿床与矿体资源量双对数图、吨-品位的双对数图的多重分形特征表明: 在分形构造成矿空间中, 特定成矿阶段的矿床资源量的生长方式是自组织非线性增殖过程, 与自组织有关的随机性使吨-品位关系趋于指数关系; 在整个成矿过程中, 矿床资源量的生长方式是各阶段矿体资源量的线性叠加.进一步根据熵最大化原理及效用理论导出了与统计结果吻合的矿床吨-品位方程, 并得到柴家庄金矿矿体地质数据的验证.      

中国碲矿成矿规律概要

富金斑岩-矽卡岩矿床产出了大部分碲资源,其他类型碲矿资源时空分布规律暂未明确。在全国矿产资源潜力动态评价项目开展过程中,本文对中国碲矿资源特征、碲矿类型、时空分布进行分析与归纳,初步总结了中国碲矿成矿规律。本文对中国碲矿的资源特征进行了介绍;收集了全国45个含碲矿床的资料,将中国碲矿分为碱性-偏碱性侵入岩型、卡林-类卡林型、浅成低温热液型、斑岩-矽卡岩型、造山型、铜镍硫化物型6大预测类型;将碲矿形成时代分为元古宙、古生代、中生代、新生代4个成矿期,划分了9个碲成矿带,即吉黑、华北陆块西缘、华北陆块北缘、辽东、秦岭、苏鲁、长江中下游、三江、南岭成矿带;厘定出34个与碲矿有关的成矿系列,建立了中国碲矿成矿谱系。综合研究所得,中国碲矿以晚古生代和中生代华北和东北地区的浅成低温热液型、斑岩-矽卡岩型、铜镍硫化物型矿床,小秦岭-熊耳山地区的造山型矿床,长江中下游和滇川黔地区的斑岩-矽卡岩型、铜镍硫化物型矿床为主。