共查询到19条相似文献，搜索用时 62 毫秒
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本文以云南德钦羊拉铜矿床为例, 借助Surpac矿业软件建立了矿床地质数据库, 并运用地质统计学的方法, 通过分析羊拉5号矿体铜品位分布规律, 计算出了厚度、倾向、走向3个方向的实验变异函数, 并进行了理论变异函数的曲线拟合, 确立了矿床的数学模型。在此基础上运用克立格法和距离平方反比法分别进行了储量计算, 再结合传统的块段法计算出的储量, 将三者进行对比分析, 探讨了三种方法的影响因素及其产生误差的根本原因, 最后认为运用克立格法计算储量具有先进性和使用性。文章还分析了铜矿体的品位－吨位曲线图, 为矿山合理确定经济品位和吨位提供了可靠的理论依据。 相似文献
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地质统计学在多金属矿床储量计算中的应用研究 总被引：5，自引：1，他引：5
借助国际矿业软件Surpac建立了矿床地质数据库,筛选出矿体内钻孔样品数据并对其进行组合.根据组合样的统计分布特征,应用地质统计学理论建立了品位参数变异规律的数学模型,采用加权多项式回归法自动拟合求得实验变异函数,经交叉验证,优选出理想的实验变异函数参数值.根据理想的实验变异函数参数值,采用普通克立格法对矿体金属元素品位进行了估值,运用估值结果分别按各金属元素和中段进行了储量计算,并与矿山实际勘探获得的储量进行了对比.结果表明,所建模型可靠,计算结果准确,可用于辅助地质及采矿工程师进行资源评估、采矿设计及计划编制等工作. 相似文献
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云南大姚凹地苴铜矿床数学模型的建立 总被引：1，自引：0，他引：1
大姚铜矿是我国重要铜矿山，对该矿床的最大矿体之一Ⅱ-1号矿体进行了研究，在地质规律研究的基础上，收集了与该矿体相关的铜、银品位数据，建立原始资料数据库，并对所收集的数据进行了可靠性讨论；对9061件铜样品和4160件银样品进行了统计分析，结果表明，铜、银品位服从对数正态分布；铜、银共生相关关系，为弱相关关系，需要分别建立其数学模型。计算了铜、银走向、倾向、厚度方向及平均实验变异函数，并进行了理论拟合和验证，结合矿体的地质特征对获得的参数进行了讨论。 相似文献
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运用地质统计学计算研究区的实验变异函数,采用球状模型,拟合了研究区的理论变异函数;采用克立格法进行品位估值,运用Surpac建立了矿体的空间品位模型及矿床地质数学模型,并对其估值结果进行了有效性检验,结果与矿体实际情况基本吻合;充分利用矿床地质数学模型的各种数据信息,实现矿山资源储量动态管理。 相似文献
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小铁山矿床空间结构模型的建立及应用 总被引：2，自引：0，他引：2
建立小铁山矿床区域化变量空间结构的数学模型 ,给出利用计算机进行品位估计和储量计算的一些实用模型参数 ,根据不同方向上变异函数特征掌握矿化的变化强度 ,确定矿山最合理的勘探工程网距 ,并可进行品位估计和储量计算 ,进行图形输出 相似文献
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云南省马关县都龙锡锌多金属超大型矿床是滇东南3大锡石硫化物矿床之一,铜街—曼家寨(铜曼)矿段是矿区最主要矿段,随着生产规模的扩大,矿山地质资源逐步被消耗,寻找可接替资源是当前矿山紧迫任务.本文研究表明,铜曼矿段内"低品位矿化废石资源"分布广泛,储量巨大,具有重要开采价值.通过该矿段地质勘探与生产的总结,发现"低品位矿化废石资源"与锡锌多金属工业矿体空间分布基本一致,下寒武统新寨岩组第2段和第3段碳酸盐岩夹片岩是最有利的赋矿地层,其中工业主矿体周围、大理岩与片岩层间剥离断层带和断层破碎带是该类资源的主要矿化类型."低品位矿化废石资源"与工业矿石矿物组成和金属矿物嵌布特征基本一致,仅矿石矿物所占比例相对较低,该类资源以夕卡岩型硫化矿石为主,其次为大理岩型和片岩型硫化矿石;矿石中Sn、Zn和Cu等3个矿化元素均呈较好正相关关系,表明这些有价元素在矿石中共生关系密切.此外,矿区平面上成矿元素分带明显,由西至东,Zn逐渐变低,Sn和Cu则呈现明显升高趋势,而由北至南,呈现Sn-Cu-Zn(北部)→Zn(中部)-Sn-Zn(南部)变化趋势.该研究成果为都龙矿山"低品位矿化废石资源"开采和富集回收提供了新的依据. 相似文献
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Analysis and Estimation of Multi-unit Deposits: Application to a Porphyry Copper Deposit 总被引：1，自引：1，他引：0
Serge Antoine Séguret 《Mathematical Geosciences》2013,45(8):927-947
This work concerns mineral deposits consisting of geological bodies whose metal grades have different characteristics in terms of distribution and variogram, which means that estimating grades by ordinary kriging may produce unrealistic spatial continuity. This paper proposes a method based on the indicators of the geological objects (hereafter called units) and their product with the metal grade. This is illustrated by an application to a porphyry copper deposit. The aim of this paper is essentially to promote the use of variogram ratios to analyze and characterize deposits. 相似文献
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I. C. Lemmer 《Mathematical Geosciences》1986,18(7):605-623
The theory of mononodal variography developed in the preceeding paper is checked against a simulated deposit consisting of 60,500 grade values, called Stanford II. In the case of this deposit at least, assumptions underlying the concept of mononodal variography are borne out accurately. In particular, a linear relationship does exist indeed between indicator and grade variogram values of Stanford II at corresponding lags. Furthermore, such grade-indicator plots, and the information deduced from them, are robust under reduction of data at the mononodal cutoff. The method thus has predictive potential for grade variograms of highly variant deposits. Forecasting a grade variogram from the associated mononodal indicator variogram and grade-indicator plot is illustrated. Agreement with the experimental variogram is shown to be excellent. 相似文献
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I. C. Lemmer 《Mathematical Geology》1986,18(7):605-623
The theory of mononodal variography developed in the preceeding paper is checked against a simulated deposit consisting of 60,500 grade values, called Stanford II. In the case of this deposit at least, assumptions underlying the concept of mononodal variography are borne out accurately. In particular, a linear relationship does exist indeed between indicator and grade variogram values of Stanford II at corresponding lags. Furthermore, such grade-indicator plots, and the information deduced from them, are robust under reduction of data at the mononodal cutoff. The method thus has predictive potential for grade variograms of highly variant deposits. Forecasting a grade variogram from the associated mononodal indicator variogram and grade-indicator plot is illustrated. Agreement with the experimental variogram is shown to be excellent.This paper is based in part on a PhD thesis submitted to the Department of Applied Earth Sciences, Stanford University, Stanford, California 94305, in 1984 (unpublished). 相似文献
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Xavier Emery 《Mathematical Geosciences》2012,44(1):27-46
In oxide copper deposits, the acid soluble copper represents the fraction of total copper recoverable by heap leaching. Two
difficulties often complicate the joint modeling and simulation of total and soluble copper grades: the inequality constraint
linking both grade variables and the sampling design for soluble copper grade, which may be preferential and cause biases
in sample statistics. A methodology is presented in order to accurately estimate the total and soluble copper grade bivariate
distribution, based on an explicit modeling of the conditional distributions of soluble copper grade. Co-simulation is then
realized by converting the copper grades into Gaussian random fields, through stepwise conditional transformation, and by
fitting a coregionalization model while accounting for the preferential sampling design. The proposed approach is illustrated
through an application to an ore deposit located in northern Chile. 相似文献
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我国重要有色金属资源——铜矿的现状及展望 总被引：3，自引：0，他引：3
铜及其合金材料被广泛地应用于电子工业、机器制造、军事工业、农业等经济领域,是现代工业、农业、国防和科学技术必需的金属材料。铜在自然界中,主要呈硫化物及其类似化合物和铜的氧化物、自然铜以及铜的硫酸盐、碳酸盐、硅酸盐等类型矿物存在,已发现约有280多种,其中主要矿物16种。铜矿石的自然类型一般按物相分析中含氧化矿和硫化矿的比例不同,分为硫化矿石(含氧化铜在10%以下)、混合矿石(含氧化铜10%～30%)和氧化矿石(含氧化铜在30%以上)3种。我国铜矿主要分布在江西、云南、湖北、西藏、甘肃、安徽、山西、黑龙江等省,具有以下特点:(1)矿床规模小。(2)共生伴生矿多,品位低。(3)适合采用浸出-萃取-电积工艺的斑岩型铜矿少,降低生产成本的空间受到限制。(4)剩余储量中规模大、品位高的矿床多处于边远地区,外部建设条件差,在目前的金融、财税政策下,难以开发利用。总体上,我国铜矿资源在数量和品位等方面均比较差,其国际竞争力低,铜资源特别是富铜资源不足,已是不争的事实。近十余年来我国铜矿保有储量总体上处于一个相对平稳的状态,即新增探明储量和矿山消耗储量大体平衡。我国快速增长的铜消费主要靠进口解决。 相似文献
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This work deals with the joint simulation of copper grade (as a continuous regionalized variable) and rock type (as a categorical variable) in Lince–Estefanía deposit, located in northern Chile. The region under study is heterogeneous, containing three main rock types (intrusive, andesite and breccia bodies) with different copper grade distributions. To perform joint simulation, the multi-Gaussian and pluriGaussian models are used in a combined form. To this end, three auxiliary Gaussian random fields are considered, one for simulating copper grade, up to a monotonic transformation, and two for simulating rock types according to a given truncation rule. Furthermore, the dependence between copper grade and rock types is reproduced by considering cross correlations between these Gaussian random fields. To investigate the benefits of the joint simulation algorithm, copper grade and rock types are also simulated by the traditional cascade approach and the results are compared. It is shown that the cascade approach produces hard boundaries, that is, abrupt transitions of copper grades when crossing rock-type boundaries, a condition that does not exist in the study area according to the contact analysis held on the available data. In contrast, the joint simulation approach produces gradual transitions of the copper grade near the rock-type boundaries and is more suited to the actual data. 相似文献
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Assessment of the sampling variance of the experimental variogram is an important topic in geostatistics as it gives the uncertainty of the variogram estimates. This assessment, however, is repeatedly overlooked in most applications mainly, perhaps, because a general approach has not been implemented in the most commonly used software packages for variogram analysis. In this paper the authors propose a solution that can be implemented easily in a computer program, and which, subject to certain assumptions, is exact. These assumptions are not very restrictive: second-order stationarity (the process has a finite variance and the variogram has a sill) and, solely for the purpose of evaluating fourth-order moments, a Gaussian distribution for the random function. The approach described here gives the variance–covariance matrix of the experimental variogram, which takes into account not only the correlation among the experiemental values but also the multiple use of data in the variogram computation. Among other applications, standard errors may be attached to the variogram estimates and the variance–covariance matrix may be used for fitting a theoretical model by weighted, or by generalized, least squares. Confidence regions that hold a given confidence level for all the variogram lag estimates simultaneously have been calculated using the Bonferroni method for rectangular intervals, and using the multivariate Gaussian assumption for K-dimensional elliptical intervals (where K is the number of experimental variogram estimates). A general approach for incorporating the uncertainty of the experimental variogram into the uncertainty of the variogram model parameters is also shown. A case study with rainfall data is used to illustrate the proposed approach. 相似文献