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1.
石英的微量元素记录了石英生长的物理化学条件。通过微量元素对石英原岩进行分类的研究历史已久,经典工作是在以微量元素为坐标轴的图解上绘制各类型石英的分布范围,以区分石英类型。经典图解包括Rusk(2012)提出用于区分三种矿床类型石英的Al-Ti二元图解,和Schr9n et al.(1988)提出的用于判别不同岩浆岩类型石英的Ti-Al-Ge三元图解。越来越多的研究表明,上述图解不能满足对更多石英类型进行分类的需求,同时也出现与部分已知产状类型的石英微量元素判别相矛盾的情况。随着石英原位微区测试方法的成熟,高精度石英微量元素数据逐渐丰富为系统开展机器学习提供了大数据基础,为石英微量元素研究提供了新的角度和可能性。本研究运用机器学习分类方法对石英微量元素进行精确数学分析,提出Ti/Ge-P图解为石英成因研究提出新的地球化学指标。本文同时测试了六种经典机器学习分类算法,提高Ti/Ge-P图解在石英成因分类研究上的精度。此Ti/Ge-P图解适用于多种矿床研究,包括但不局限于斑岩型矿床、矽卡岩型矿床、浅成低温热液型矿床、卡林型矿床以及造山型矿床中的石英。这项工作是大数据技术与机器学习技术在地球化学研究中的积极探索。 相似文献
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《地球科学进展》2017,(3)
激光剥蚀电感耦合等离子体质谱(LA-ICP-MS),由于其原位、实时、低检测限、高空间分辨率等优点,在矿物原位微量元素分析方面具有独特的优势。磁铁矿作为多种矿床和岩石中的常见矿物,其化学组成一直是国内外学者关注的焦点。而大量的研究表明,在磁铁矿LA-ICP-MS分析过程中,基体效应不明显,一般采用富铁硅酸盐玻璃作为标样,就能够取得较为准确的结果。因此近年来磁铁矿原位微量元素研究进展迅速,并在反演成岩成矿条件、辅助判别矿床类型和间接指导找矿勘探等方面显示出广泛的应用前景。通过总结25个不同类型岩浆和热液矿床中磁铁矿微量元素数据,与前人在矿床类型判别上的研究进行了一定的对比,发现常用的磁铁矿判别图解可以用来区分多种不同类型的矿床,但是已经划分出的分类边界可能需要进一步细化和严格验证,并且事先仔细的岩相学观察是数据解释的重要基础。另外,通过磁铁矿微量元素分配对岩浆和热液过程一系列复杂物理化学条件(熔/流体成分、温度、冷却速率、压力、氧逸度、硫逸度和二氧化硅活度等)的响应进行了一定探讨。在岩浆阶段,磁铁矿成分与熔体组成及分异演化密切相关;而热液阶段,流体性质的变化也会显著改变磁铁矿的化学成分。并且后期流体的改造或者磁铁矿的亚固相再平衡作用会对磁铁矿的成因鉴别产生严重干扰。综述了近年来LA-ICP-MS在磁铁矿微量元素分析方面的发展以及在矿床学领域的重要应用,以期对成矿作用和成矿过程研究提供新的思路和方向。 相似文献
3.
锆石是在自然界中多种温压条件下能够稳定保存,并记录原岩年龄信息的副矿物。锆石微量元素能完整记录地质演化过程信息。通过微量元素分析锆石成因的研究已久,通常利用Th-U图解和LaN-(Sm/La)N图解等二元图解对锆石进行分类研究。然而,随着锆石研究的深入,以及二元图解无法呈现数据高维度信息的局限性,传统图解已经不能满足对锆石类型进行准确判别,且对已知类型的锆石出现判定偏差。因此,本文将地质大数据与机器学习相结合,训练出高维度锆石成因分类器。文中收集了3 498条不同成因类型的锆石微量元素数据,并通过测试和运用随机森林、支持向量机、人工神经网络和k近邻等4种机器学习算法,最终得出准确率为86.8%的线性支持向量机锆石成因分类器,用于锆石类型的判定与预测。这项工作为锆石分类研究提供了更高维度的判别手段,极大提高了微量元素分析成因结果的精度。将锆石微量元素数据与机器学习方法相结合,是大数据分析与机器学习技术在地球化学研究中的积极探索。 相似文献
4.
青海省祁漫塔格-都兰成矿带是以铁铜多金属为主的成矿带,其矿产丰富但研究程度较低。双庆铁矿床是该成矿带上十分典型的矿床,目前尚未系统开展矿物地球化学研究。笔者采用电子探针、电感耦合等离子质谱仪(ICP-MS)等测试手段,对磁铁矿进行主(常)量元素、微量元素地球化学特征进行研究,辅以磁铁矿氧同位素数据,以期为矿床成因提供地球化学证据。磁铁矿主量元素的Ti O2-Al2O3-(Mg O+Mn O)三角成因图解揭示,形成双庆铁矿床的磁铁矿为接触交代作用的夕卡岩型磁铁矿。微量元素特征表明其成矿物质来源较深,Ni/Co比值揭示磁铁矿为火山热液交代的岩浆成因的来源特征,而Pb、Zn质量分数相对较高,表明有后期的热液叠加作用。稀土元素呈不对称的"V"字形配分模式,轻重稀土发生一定程度的分异作用,无明显δEu和δCe异常,稀土总量低;磁铁矿的氧同位素特征表明其成矿物质来源属于幔源,流体来源为花岗质岩浆水。 相似文献
5.
黄陵断穹核部石墨矿是我国鳞片(晶质)石墨矿的主要产区,对该区石墨矿的研究具有重要理论和实际意义。该区已有石墨矿研究成果多侧重于矿床地质方面,对矿床成因分析缺乏地球化学支撑。为此,本文从地球化学层面查明石墨矿原岩类型,碳质富集岩相、变质作用和晶质石墨的形成,为矿床成因和成矿作用提供地球化学依据。通过系统采集区内主要石墨矿样品,进行主量元素、微量元素、稀土元素和同位素分析,根据矿床地球化学原理和分析方法,阐明石墨矿的物质来源,成矿元素集散行为和矿床形成机制。根据主量元素含量和组合,推断石墨的原岩为碳质粉砂质泥岩。微量元素的双重性指示石墨矿的物质有两个来源:中太古代野马洞岩组和中太古代东冲河片麻杂岩。独特的稀土元素配分型式说明物源转化为原岩时存在着强烈的地球化学反应。石墨矿的碳同位素组成支持碳质来自有机物的观点。 相似文献
6.
扬子板块北缘马元铅锌矿床闪锌矿LA-ICP-MS微量元素特征与指示意义 总被引：1，自引：0，他引：1
马元铅锌矿床是我国近年来在扬子板块北缘探获的大型铅锌矿床,对马元铅锌矿床闪锌矿微量元素进行了高精度的LA-ICP-MS测试研究,结果表明矿床闪锌矿微量元素含量具有低Fe、Mn,高分散元素Cd、Ge、Ga,低分散元素In的特征;闪锌矿Fe、Mn含量和Ga/Ge比值特征指示了矿床成矿流体温度不高,可能为与中低温盆地流体有关的铅锌矿床;闪锌矿中分散元素In、Ge特征能有效的区分铅锌矿床的成因类型:与岩浆或火山活动有关的铅锌矿床闪锌矿具有高In或低In,低Ge的特征,而与盆地卤水有关的中低温矿床中闪锌矿则普遍富Ge贫In。依据马元铅锌矿床微量元素特征,结合矿床地质与地球化学特征,认为马元铅锌矿应属于密西西比河谷型铅锌矿床(MVT铅锌矿床)。 相似文献
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8.
山西省刁泉银矿床微量元素地球化学特征研究 总被引：1，自引：0，他引：1
本文根据区域地层、岩浆岩、构造中微量元素分布特征,水系沉积物地球化学异常,微量元素在矿区各地质体中的分布特征,垂向、水平分带特征,元素的相关性及因子分析,元素在成矿作用过程中的地球化学行为,结合地质特征,提出刁泉银矿外围找矿的水系沉积物指示元素组合和原生晕指示元素组合,划分了刁泉银矿床微量元素的垂向和水平分带序列,并以矿床的成因、物质来源有所指示。 相似文献
9.
铅锌矿床中微量元素的富集特征、富集机制及对矿床成因指示是当前矿床学研究的热点之一。对铅锌矿床微量元素富集及关键测试技术研究新进展进行了综述,指出:①富集微量元素的铅锌矿床不仅分布于古陆边缘,造山带也是有利的构造背景;②不同成因类型铅锌矿床所富集的微量元素种类和含量不同,元素组合、含量及比值可以指示矿床成因;③微量元素以类质同象、固熔体、微细矿物包裹体形式甚至是独立矿物形式存在于闪锌矿和方铅矿中,富集过程受扩散速率、结晶温度、氧化还原条件、硫逸度、成矿物质和成矿流体等物理化学条件控制;④硫化物LA-ICP-MS微区分析能精确测定硫化物中微量元素的含量,了解其赋存状态,可为铅锌矿床成因研究提供微观证据。最后指出微量元素研究过程中要加强LA-ICP-MS原位微区测试技术的应用,并与宏观矿床地质特征研究相结合。 相似文献
10.
矿床的形成受制于多种复杂的地质作用,包括全球尺度的板块构造运动、岩浆活动、变质沉积改造等过程,并普遍伴随热液活动、流体迁移、水-岩相互作用、元素分异及同位素分馏等一系列局部区域地质和地球化学过程.在过去的矿床学研究中,地球化学方法主要围绕在主、微量元素和传统的稳定同位素等手段,解决了很多矿床成因问题.但仍存在不少的多解和难解问题,比如许多矿床在矿化类型、蚀变分带与金属矿物组合方面具有诸多相似之处,常规地球化学指标难以区分.随着测试精度的提高和自然储库组成的完善,Li同位素近些年来已成为新兴的稳定同位素体系.Li同位素在自然界过程中高达80‰的同位素分馏使其具有更好的辨识能力,同时兼有直接和间接指示作用,有潜力成为研究各种复杂成矿过程的良好示踪剂.本文总结了近年来有关矿床学中Li同位素的研究和应用进展,以俯冲带成矿为主,阐述了斑岩型-热液矿床、伟晶岩型矿床和沉积矿床等类型矿床的Li同位素地球化学特征,并探究新的Li同位素方法在矿床中的应用前景.基于Li同位素体系在各类矿床的应用实例,我们认为Li同位素体系将为矿床学研究提供更多的指示信息和依据. 相似文献
11.
The petrography and mineral chemistry of magnetite from fifteen volcanogenic massive sulfide (VMS) deposits in Canada, and the Lasail VMS deposit in Oman, as well as from two VMS-associated banded iron formations (BIF), Austin Brook (New Brunswick, Canada) and Izok Lake (Nunavut, Canada), were investigated using optical microscopy, electron probe micro-analyzer (EPMA), and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS). The method of robust estimation for compositional data (robCompositions) was applied to investigate geochemical censored data. Among thirty-seven elements analyzed by EPMA and/or LA-ICP-MS in magnetite from the studied deposits/bedrock lithologies, only the results for Si, Ca, Zr, Al, Mg, Ti, Zn, Co and Ni contain < 40% censored values, and thus could be imputed using robCompositions. Imputed censored data were transformed using centered log-ratios to overcome the closure effect on compositional data. Transformed data were classified by partial least squares-discriminant analysis (PLS-DA) to identify different compositional characteristics of magnetite from VMS deposits and BIFs. The integration of petrography and mineral chemistry identifies three types of magnetite in VMS settings: magmatic, hydrothermal, and metamorphic. Magmatic magnetite in VMS deposit host bedrocks is characterized by ilmenite exsolution and may be overprinted by metamorphism. Some VMS deposits contain hydrothermal magnetite, which is intergrown with sulfides, and shows a metamorphic overprint as it is partly replaced by common metamorphic minerals including chlorite, sericite, anthophyllite, and/or actinolite, whereas the majority of the deposits are characterized by metamorphic magnetite formed by replacing pre-existing sulfides and/or silicates, and is intergrown with metamorphic minerals. Among VMS deposits of the Noranda mining district, the West Ansil deposit is characterized by hydrothermal-metamorphic magnetite zoned by inclusion-free cores and Si- and Mg-rich rims. Magnetite from the studied VMS-associated BIFs is also metamorphic in origin. Aluminum, Ti and Zn contents of magnetite can separate BIF from the other mineralized and un-mineralized bedrock lithologies in the studied VMS settings.PLS-DA shows that variable compositions of magnetite slightly discriminate different studied deposits/bedrock lithologies. The geochemical observations suggest that the variation in magnetite chemistry from different VMS settings might be sourced from differences in: 1) the composition and temperature of parental magmas or hydrothermal fluids, 2) the composition of host bedrocks, 3) the composition of co-forming minerals, and 4) oxygen fugacity. PLS-DA distinguishes magnetite compositions from the studied VMS deposits and BIFs from that of the other ore deposit types including Ni–Cu, porphyry Cu-Mo-Au, iron oxide-copper- gold, iron oxide-apatite, and the Bayan Obo REE-Fe-Nb deposit. Magnetite from the VMS settings on average contains lower concentrations of Si, Zr, Al, Mg, Ti, Zn, Co and Ni relative to that from the other mineral deposit types. PLS-DA of magnetite data from VMS deposits and BIFs of the Bathurst mining camp as well as PLS-DA of magnetite compositions from various mineral deposit types yield discrimination models for application to mineral exploration for VMS deposits using indicator minerals in Quaternary lithified sedimentary rocks. 相似文献
12.
得尔布干成矿带是中国东北地区中、俄、蒙毗邻区域一条重要的铜、钼、金、铅锌多金属成矿带,控制产出大量多金属矿床。满洲里—陈巴尔虎旗一线集中产出铜钼矿,如乌奴格吐山铜钼矿、八大关铜钼矿、八八一铜钼矿。然而与相邻俄罗斯额尔古纳—上黑龙江—岗仁成矿带中的铜钼矿产出现状对比,无论数量还是规模均相差甚远,显示仍存在较大找矿空间。在近年来大量野外地质工作及矿床实际考察基础上,阐述了八大关铜钼矿矿床地质特征。通过岩石地球化学特征研究、LA-ICPMS锆石U-Pb及辉钼矿Re-Os年龄测试,确定八大关铜钼矿为形成于印支晚期(205.8±3.4Ma),受八大关短轴背斜及NE-SN向断裂控制的造山带斑岩型铜钼矿。与乌奴格吐山铜钼矿对比,八大关矿区形成于燕山早期的花岗质斑岩体极有可能是新的铜钼赋矿体。 相似文献
13.
《地学前缘(英文版)》2023,14(4):101580
Due to the combined influences such as ore-forming temperature, fluid and metal sources, sphalerite tends to incorporate diverse contents of trace elements during the formation of different types of Lead-zinc (Pb-Zn) deposits. Therefore, trace elements in sphalerite have long been utilized to distinguish Pb-Zn deposit types. However, previous discriminant diagrams usually contain two or three dimensions, which are limited to revealing the complicated interrelations between trace elements of sphalerite and the types of Pb-Zn deposits. In this study, we aim to prove that the sphalerite trace elements can be used to classify the Pb-Zn deposit types and extract key factors from sphalerite trace elements that can discriminate Pb-Zn deposit types using machine learning algorithms. A dataset of nearly 3600 sphalerite spot analyses from 95 Pb-Zn deposits worldwide determined by LA-ICP-MS was compiled from peer-reviewed publications, containing 12 elements (Mn, Fe, Co, Cu, Ga, Ge, Ag, Cd, In, Sn, Sb, and Pb) from 5 types, including Sedimentary Exhalative (SEDEX), Mississippi Valley Type (MVT), Volcanic Massive Sulfide (VMS), skarn, and epithermal deposits. Random Forests (RF) is applied to the data processing and the results show that trace elements of sphalerite can successfully discriminate different types of Pb-Zn deposits except for VMS deposits, most of which are falsely distinguished as skarn and epithermal types. To further discriminate VMS deposits, future studies could focus on enlarging the capacity of VMS deposits in datasets and applying other geological factors along with sphalerite trace elements when constructing the classification model. RF’s feature importance and permutation feature importance were adopted to evaluate the element significance for classification. Besides, a visualized tool, t-distributed stochastic neighbor embedding (t-SNE), was used to verify the results of both classification and evaluation. The results presented here show that Mn, Co, and Ge display significant impacts on classification of Pb-Zn deposits and In, Ga, Sn, Cd, and Fe also have relatively important effects compared to the rest elements, confirming that Pb-Zn deposits discrimination is mainly controlled by multi-elements in sphalerite. Our study hence shows that machine learning algorithm can provide new insights into conventional geochemical analyses, inspiring future research on constructing classification models of mineral deposits using mineral geochemistry data. 相似文献
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本文总结了黄铁矿、闪锌矿的成因地球化学标志;阐明了黄铁矿中元素在空间上的分带规律和在成矿过程中时间上的演化规律;建立了反映上述分带规律的回归方程组;论证了本矿床矿石中黄铁矿与磁黄铁矿间、矿石矿物与花岗岩副矿物磁铁矿间的成因联系;类比了国内外铅锌矿床上述矿物的地球化学特征。由此得出结论:放牛沟硫铁多金属矿床系岩浆热液成因,其成矿物质主要来自后庙岭花岗岩深部岩浆源。铅锌矿主要在中温条件下形成,接触带矿体与外接触带矿体属同一成矿系列。放牛沟矿床与后庙岭花岗岩系同一岩浆—热液系统的产物。 相似文献
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李屯铁矿为近年在山东省齐河—禹城地区发现的隐伏富磁铁矿床,为空白区地质找矿新发现。本文通过详细野外调查、室内镜下观察及地球化学分析测试,对矿床地质、地球化学特征进行了系统研究,初步揭示矿床成因。磁铁矿体赋存于李屯岩体与石炭纪—二叠纪地层接触带附近的砂泥岩地层内。李屯铁矿中岩体微量元素分配模式具有较好的一致性,均不同程度地富集Rb、Ba、Sr等大离子亲石元素,亏损Zr、Nb、Ta等高场强元素,磁铁矿石中富集大离子亲石元素Sr,亏损K;高场强元素富集U、P、Hf、Ta,亏损Nb、Ti。岩体与磁铁矿石稀土元素均表现出轻稀土富集、重稀土亏损的右倾型配分模式。李屯铁矿形成于岩石圈大规模快速减薄期,成矿构造背景应为板块伸展扩张环境。李屯岩体的岩浆来源为壳幔混源,尖晶石相二辉橄榄岩发生部分熔融产生的的岩浆熔体;成矿物质来源于深源岩浆及其形成的岩浆岩。磁铁矿成矿与李屯岩体关系密切,矿床成因类型应是接触交代型矽卡岩铁矿床。 相似文献
16.
Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) is well characterized by the in-situ, real time, lower limit of detection and high space resolution, etc. Therefore, it is more excellent in the analysis of trace element for varied minerals in comparison to other micro-zone analysis technologies. Magnetite as a common mineral from different deposits and rocks has been focused on chemical compositions by researchers worldwide. In fact, as the insignificant matrix effect for most elements in magnetite, analysis results could be calculated effectively against Fe-rich silicate glass as the reference material. Therefore, researches on trace element distribution of magnetite have been developed rapidly in recent years, and it has a wide application prospect in reflecting the condition of ore-forming, discriminating different deposit types and indicating prospecting exploration. Comparing varied previous discrimination diagrams about magnetite via collecting trace element data from available literatures based on 25 deposits, we found that there was an urgent need for further detailing and reexamining the boundary of fields representing different genetic types, and it was vital for interpreting the data through carefully petrographical observation before analysis. In addition, we discussed several complex physicochemical factors, which would influence the element concentration of magmatite in igneous and hydrothermal processes, such as melt/fluid composition, temperature, cooling rate, pressure, oxygen fugacity, sulfur fugacity and silica activity. In magma stage, Magnetite’s components are closely related to melts composition and differentiation, while fluid features would also significantly change magnetie's components. Furthermore, there is serious interference for discriminating the genesis of magnetite because of late stage fluids and equilibrium again in subsolidus condition. This paper reviewed the developments of trace elements analysis by LA-ICP-MS and important applications about magnetite in mineral deposit so that unique thoughts for the research on mineralization and ore-forming processes could be obtained. 相似文献
17.
Magnetite is a common mineral in many ore deposits and their host rocks, and contains a wide range of trace elements (e.g., Ti, V, Mg, Cr, Mn, Ca, Al, Ni, Ga, Sn) that can be used for deposit type fingerprinting. In this study, we present new magnetite geochemical data for the Longqiao Fe deposit (Luzong ore district) and Tieshan Fe–(Cu) deposit (Edong ore district), which are important magmatic-hydrothermal deposits in eastern China.Textural features, mineral assemblages and paragenesis of the Longqiao and Tieshan ore samples have suggested the presence of two main mineralization periods (sedimentary and hydrothermal) at Longqiao, among which the hydrothermal period comprises four stages (skarn, magnetite, sulfide and carbonate); whilst the Tieshan Fe–(Cu) deposit comprises four mineralization stages (skarn, magnetite, quartz-sulfide and carbonate).Magnetite from the Longqiao and Tieshan deposits has different geochemistry, and can be clearly discriminated by the Sn vs. Ga, Ni vs. Cr, Ga vs. Al, Ni vs. Al, V vs. Ti, and Al vs. Mg diagrams. Such difference may be applied to distinguish other typical skarn (Tieshan) and multi-origin hydrothermal (Longqiao) deposits in the MLYRB. The fluid–rock interactions, influence of the co-crystallizing minerals and other physicochemical parameters, such as temperature and fO2, may have altogether controlled the magnetite trace element contents of both deposits. The Tieshan deposit may have had higher degree of fO2, but lower fluid–rock interactions and ore-forming temperature than the Longqiao deposit. The TiO2–Al2O3–(MgO + MnO) and (Ca + Al + Mn) vs. (Ti + V) magnetite discrimination diagrams show that the Longqiao Fe deposit has both sedimentary and hydrothermal features, whereas the Tieshan Fe–(Cu) deposit is skarn-type and was likely formed via hydrothermal metasomatism, consistent with the ore characteristics observed. 相似文献
18.
新疆塔什库尔干地区“帕米尔式”铁矿床的发现及其地质意义 总被引：5，自引：0，他引：5
新疆塔什库尔干地区近年来发现了一系列规模较大的铁矿床,如老并铁矿床、乔普卡里莫铁矿床、叶里克铁矿床、吉尔铁克沟铁矿床等。由于这些矿床具有较为独特的矿床地质特征和成矿时代特点而有别于世界上已知的铁矿床,因而将其命名为"帕米尔式"铁矿床。以老并铁矿床为例对"帕米尔式"铁矿床的地质特征、成矿年代、矿床成因等进行了初步研究。研究表明,"帕米尔式"铁矿床主要赋存于布伦阔勒岩群黑云石英片岩岩性段内,该岩性段磁铁矿化现象较为普遍,普遍发育磁铁矿、黄铁矿、石膏、硬石膏的矿物同生组合,为一种特殊的膏铁建造;LA-ICP-MS碎屑锆石U-Pb同位素测年表明,含铁建造布伦阔勒岩群的形成时代为早古生代;矿床成因类型为海相火山沉积型磁铁矿矿床,后期受到一定的区域变质作用的叠加改造。该类型矿床的发现,对于丰富世界铁矿床的类型和同类型铁矿床的找矿工作都具有重要的借鉴意义。 相似文献
19.
单颗粒矿物微量元素激光原位定量分析测试数据的大量积累和研究,使矿物成为矿床地球化学研究和矿床勘查的重要示踪剂。本文重点选择磁铁矿、磷灰石、石榴子石、榍石、锆石、绿泥石和绿帘石等的原位分析研究所获得的认识,介绍单颗粒矿物成分组合及变化在矿床类型划分、成矿年龄测定、氧逸度、成矿过程与物质来源、找矿与勘探等方面的应用。不同矿床类型中普遍存在的矿物,如磁铁矿、磷灰石等的微量元素含量及组合差异,提供了矿床类型识别的标志。单颗粒矿物,特别是矿石矿物和密切共生矿物如锡石、铌钽铁矿、赤铁矿、石榴子石、方解石等的原位定年,使成矿年龄的直接准确测定成为现实。矿物中变价元素,如Fe、V、Mn、Ce、Eu含量和/或比值的变化,指示了成矿过程氧逸度及其变化特点。从矿物核部向震荡环带与边部的微量元素含量或同位素组成的变化,示踪了成矿过程中流体来源或性质的变化。斑岩和矽卡岩矿床中与成矿作用关系密切的蚀变矿物,如绿泥石、绿帘石的形成温度、特征微量元素比值,如Ti/Sr、Ti/Co、V/Ni、Mg/Sr等,与距矿床中心距离呈线性函数关系,可定量预测距矿床中心的距离,使以绿泥石、绿帘石为代表的找矿指示矿物研究迅速发展。 相似文献
20.
安徽庐枞盆地泥河玢岩型铁矿床地质-原生晕地球化学找矿模型 总被引：1，自引：1，他引：0
开展长江中下游地区玢岩型铁矿床轴向原生晕地球化学分析及建模,可弥补地球物理勘探结果的多解性及探测精度的局限性,对定位和评价深部盲矿体具有至关重要的作用。文章在以往研究的基础上,开展庐枞盆地泥河玢岩型铁矿床钻孔原生晕的研究工作,采用多元统计分析方法,查明了主要成矿指示元素在不同地质体中的富集和亏损,确定了磁铁矿、硫铁矿和硬石膏矿体的矿中、近矿及远矿指示元素组合,结合矿床成因模型,建立了泥河玢岩型铁矿床地质-原生晕地球化学找矿模型,通过罗河和小包庄玢岩型铁矿床的佐证,认为该模型可以应用于长江中下游成矿带玢岩型铁矿床的勘探工作中。 相似文献