Resource Model Updating For Compositional Geometallurgical Variables

In the field of mineral resources extraction, one main challenge is to meet production targets in terms of geometallurgical properties. These properties influence the processing of the ore and are often represented in resource modeling by coregionalized variables with a complex relationship between them. Valuable data are available about geometalurgical properties and their interaction with the beneficiation process given sensor technologies during production monitoring. The aim of this research is to update resource models as new observations become available. A popular method for updating is the ensemble Kalman filter. This method relies on Gaussian assumptions and uses a set of realizations of the simulated models to derive sample covariances that can propagate the uncertainty between real observations and simulated ones. Hence, the relationship among variables has a compositional nature, such that updating these models while keeping the compositional constraints is a practical requirement in order to improve the accuracy of the updated models. This paper presents an updating framework for compositional data based on ensemble Kalman filter which allows us to work with compositions that are transformed into a multivariate Gaussian space by log-ratio transformation and flow anamorphosis. This flow anamorphosis, transforms the distribution of the variables to joint normality while reasonably keeping the dependencies between components. Furthermore, the positiveness of those variables, after updating the simulated models, is satisfied. The method is implemented in a bauxite deposit, demonstrating the performance of the proposed approach.

     

A Study of the Influence of Measurement Volume,Blending Ratios and Sensor Precision on Real-Time Reconciliation of Grade Control Models

The mining industry continuously struggles to keep produced tonnages and grades aligned with targets derived from model-based expectations. Deviations often result from the inability to characterise short-term production units accurately based on sparsely distributed exploration data. During operation, the characterisation of short-term production units can be significantly improved when deviations are monitored and integrated back into the underlying grade control model. A previous contribution introduced a novel simulation-based geostatistical approach to repeatedly update the grade control model based on online data from a production monitoring system. The added value of the presented algorithm results from its ability to handle inaccurate observations made on blended material streams originating from two or more extraction points. This contribution further extends previous work studying the relation between system control parameters and algorithm performance. A total of 125 experiments are conducted to quantify the effects of variations in measurement volume, blending ratio and sensor precision. Based on the outcome of the experiments, recommendations are formulated for optimal operation of the monitoring system, guaranteeing the best possible algorithm performance.     

Real-time Uncertain Geological Boundaries Updating for Improved Block Model Quality Control Based on Blast Hole Data: A Case Study for Golgohar Iron Ore Mine in Southeastern Iran

One main problem in the modeling of mineral deposits is to design a block model that divides the deposit into homogeneous subdomains. The spatial uncertainty in the geological boundaries becomes a critical factor prior to the modeling of the ore properties. For this reason, reducing the uncertainty of geological models leads to an improved mineral resource evaluation. This research work addresses the problem of updating the geological models by using actual online-sensor measurement data. A novel algorithm is provided, which integrates the discrete wavelet transform to the Ensemble Kalman Filter for assimilating online-sensor production data into geological models. The geological realizations in each time step are transformed to frequency coefficients and, after each assimilation step, the updated realizations are back-transformed to the original categorical distribution. Furthermore, a reconciliation process is performed to compare the online-sensor data derived from the production blocks and the updated realizations in each time step. The algorithm is illustrated through an application to the Golgohar iron deposit located in SW of Sirjan, Iran, and proves to reproduce the statistical parameters and connectivity values of the primary geological realizations.

     

面向生态的干旱半干旱地区区域地下水资源评价的方法体系

为了提高区域地下水资源评价的可靠性、扩展干旱半干旱地区面向生态的区域地下水资源评价方法,对准噶尔盆地和鄂尔多斯盆地地下水与生态环境关系进行调查研究,认为地下水具有重要的生态价值。目前在干旱半干旱地区区域地下水资源评价中对地下水的生态价值考虑不够,是造成地下水资源评价可靠性不高的原因之一。因此,提出了干旱半干旱地区地下水生态价值的概念,围绕可持续利用的地下水资源量与生态环境良性循环的目标,构建了面向生态的区域地下水资源评价方法体系。方法体系的基本思路是突出系统的观点和地表水与地下水统一评价、水质水量并重、地下水资源与其相关生态环境统一评价的3个原则;通过建立水文地质概念模型、集中参数型模型、分布参数型模型和基于地下水变化的生态环境综合评价4个模型,加上引进水量、水位与水质3个约束条件,以及开发基于GIS的地下水资源评价信息系统的平台,对地下水资源、调蓄能力与生态环境效益进行整体评价与预警。方法体系注重了地下水的资源和生态的双重属性,强调地下水资源与相关生态环境整体评价和预警的一体化,突出了模型体系与GIS技术在区域地下水资源评价和相关生态环境评价的有效集成。     

Northern Ireland lignite

Conclusion There is no doubt that Northern Ireland's lignite deposits are of high quality and constitute a natural resource of considerable potential value in this small, peripheral part of the European Community. Whether or not one or more will be used commercially and, if so, when depends on an interacting complex of economic, social and political factors. In purely economic terms, use will be effectively determined by lignite's economic competitiveness as a fuel dor electricity generation and on the relationship between capital and fuel costs. The economics of other possibly viable products such as lignite briquettes will be heavily dependent on the use of by-products of electricity generation, most notably surplus heat.The availability of lignite offers an alternative fuel option to those charged with formulating the Province's energy policy. If, as now seems likely, it is no longer a serious competitor for the power station planned for the mid-1990's, it most certainly is a competitor for the early part of the next century. This is particularly so in view of its low sulphur content which is about half that of Scottish coal on an energy equivalent basis. Lignite also offers security of supply at predictable prices, an important advantage, and thus carries a premium over coal, oil and natural gas which are imported at prices determined wholly exogenously.As the Province has by far the highest rate of regional unemployment in the United Kingdom, one argument advanced for the use of indigenous lignite is that its use in electricity generation would create much needed additional employment — an estimated 400 jobs being associated with the mining operations needed to support a 450 MW power station. But the Coagh example shows that other considerations must be taken seriously. It is extremely unlikely that the lignite in this area will ever be worked unless local attitudes change dramatically or there is some national fuel crisis which would over-ride local opposition. It is difficult enough developing lignite without having to contend with such strong resistance at the local level.This study has shown that certainly in the Northern Irish context it is highly important for the policy makers not only to consider the economic factors involved in choice of an energy fuel but to work closely with local communities and the various environmental bodies, to take their perceptions, right or wrong, into consideration.     

Optimization of the rate of return of the mine production process

Summary The basic foundations of an integrational method of modelling and estimating the economic effectiveness of a deep coal mine production process is presented. The method is founded on the concept of integration of smaller structural elements into larger ones in order to obtain a representational model of the whole mine production process. It involves analysis of the spatial, engineering and time structures of the mining process. The basic structural unit of the production process is the elementary time interval,T, together with a linear function of the approximate intensity of financial outlays or effects. The repeated integration of these elementary time intervals within the spatial, engineering and time structures of the mine production process can be extended to model the whole mine or discrete spatial structure elements.The model may be used to investigate the trends of financial outlays and effects, and their current values updated for arbitrarily assumed updating moments. The model can also be used as an investigation tool for analysing the economical effectiveness of the mine production process.     

数字矿区的建设构想

伴随着新世纪和“数字地球”时代到来，数字省区、数字城市等工程已经启动，数字矿区的建设也因此提上日程。根据我国矿区现状，从区域融合和可持续发展结合的角度，诠释了矿区概念，对数字矿区建设的必要性及可行性进行探讨，给出了数字矿区建设的思路和框架。     

Characterizing uncertainty in geotechnical design of energy piles based on Bayesian theorem

It is known that a lot of uncertainties are involved in geotechnical design of energy piles. In this paper, a Bayesian updating framework is presented to characterize those uncertainties. The load-transfer model is developed to predict the thermomechanical response of energy piles. Considering the cross-case variability of the uncertainty in the axial strains of pile, the global model bias is firstly calibrated by establishing a comprehensive database consisting of 12 energy pile cases. Furthermore, the uncertainty in input parameters is considered in the Bayesian updating of model bias in a specific case. The variability of the uncertain parameters is effectively reduced after updating. The coefficient of variation of prediction is decreased from 0.34 to 0.13. The present framework can well quantify uncertain factors and improve the accuracy and reliability of the prediction model.

     

岩浆岩侵入煤层的地震属性识别技术

岩浆岩体严重影响井田的煤质、储量等,对采区工作面布置、巷道掘进及回采工作造成严重的影响,因而探测岩浆岩侵入煤层的范围对煤矿安全高效生产具有重大意义。在总结岩浆岩侵入体的地质特征基础上,建立岩浆侵入煤层地震地质模型,通过正演,对多种属性进行交互分析,发现主频能量属性与振幅类属性对岩浆岩反应较为敏感,并且随着岩浆岩厚度的逐渐增加能量类与振幅类属性逐渐降低。通过对QN煤矿103工作面高密度三维地震资料连井剖面10煤进行属性分析,发现频带宽度、中心频率、主振幅属性可以较好地识别岩浆侵入区。通过对勘探区10煤层进行频带宽度、中心频率和主振幅属性分析识别岩浆侵入区,其识别结果与钻孔实际揭露吻合较好,证明采用地震属性识别技术可以识别煤层岩浆岩侵入区范围。     

地质统计学在细脉型矿体模拟中的应用:以新疆梅岭-红石铜矿为例

细脉状矿体由于矿脉厚度小且沿走向和倾向品位变化较大,致使其在资源模拟中很难实现三维建模.通过构建高斯变换的二维变异函数转载到单层三维块体模型,首次完成了对新疆梅岭-红石铜矿区细脉状矿体的三维建模.这一成果弥补了二维模型在空间形态、品位变化特征上的不足,避免了采用传统极小的子块模型匹配实体模型所产生的高平滑效应.单层三维块体模型能够更加有助于实际采矿生产中块段划分,具有创新性,并为矿产资源评价和开发设计提供基础,对同类矿体的三维建模具有重要的指导意义.      

The spatial distribution of the lignite qualitative parameters and variant estimates of coal reserves: the Czech Part of the Vienna Basin

The aim of this article is to inform about the spatial distribution of the lignite qualitative parameters and total lignite reserves in the Czech Part of the Vienna Basin—The South Moravian Lignite Coalfield (SMLC). The total reserves were estimated on the basis of several composed variant digital models of individual seams in four partial area of SMLC. Calculations of the reserves resulted from the identified spatial distribution of chemical-technological parameters obtained from the thousands analysis of samples taken from more than 4,000 exploration works. The basic model of the deposit was so-called geological model characterising genetic evolution of the deposit and defines the spatial positions of the coal seams. Subsequently developed variant economical models spatially define the selected areas by the quality of lignite expressed by the limits of ash yield. Based on the created models, it was found that in the past just 3–7 % (depending on the variant model) of the total lignite reserves SMLC had been extracted. The presented geological reserves are currently using the existing mining technologies only partially mineable.     

编制煤炭资源储量报告常见问题及注意事项

《煤、泥炭地质勘查规范》实施以来,因对规范、规定、通知、办法的理解差异,在煤炭资源储量报告评审、备案工作中出现了诸多问题,如矿权范围确定、资源储量估算、煤质分析、探采对比、煤层气综合评价、技术经济评价、报告编制等等,针对该类问题,提出了其相应的界定标准和注意事项,以期提高报告质量。     

Rock quality designation-fracture intensity index method for geomechanical classification

Rock quality designation (RQD) is a simple and effective way of rock mass classification from surface scanlines or preferably borehole measurements. A major drawback in its classical use is that only one representative RQD value is obtained from the field measurements per core run. However, it is shown in this paper that the field measurements along a scanline provide detailed information about the rock quality and the fracture intensity (FI) for a given number of joints. In order to be able to extract the complete information concealed within the field data, the RQD-fracture index diagram concept is proposed and applied to actual field scanline measurements from England. The basis of the suggested procedure is to obtain a series of all possible RQD and FI values from given intact length measurements. This procedure provides additional information as to the local zones of heterogeneities within the rock mass and a new way of rock classification on the basis of the combined effects of RQD and FI. It is also possible to calculate percentages of different rock qualities within the same rock mass.     

A new model of geo-environmental impact assessment of mining: a multiple-criteria assessment method integrating Fuzzy-AHP with fuzzy synthetic ranking

A new evaluation model for geo-environmental impact assessment of mining (GEIAM) is proposed. The evaluation framework in this model considers three groups of criteria, namely, geo-hazards risks, environmental risks, and resource damages. Fuzzy-analytic hierarchy process (AHP) was used to establish a multiple-criteria evaluation system and simultaneously command weighting to avoid vagueness and ambiguity in expert judgment. Membership function was employed to deal with the vagueness boundary problem of indices scoring and to help complete the ultimate fuzzy synthetic ranking. The model expresses the evaluation results with an integrated objective ranking and three criteria ranking. It was tentatively applied to assess an opencast limestone mine. The results indicated that the indices sequences were consistent with the mine background and the expert professional experience and better revealed the impact of geo-hazards risks. Specific assessment factors such as geo-hazards potential, engineering geological condition, and hydrogeological condition were prioritized for further improvement. Compared with existing GEIAM evaluation methods, the proposed assessment model focuses more on expert experience and judgment, breaks through the limitation of local estimation to variable attributes and, most importantly, satisfies the multi-purpose requirements to incorporate real considerations together for mining safety, geo-environmental protection, and natural resource conservation.     

矿业权设置研究内容及工作技术路线

为了深化矿业权分类管理、推进我国矿业权审批制度改革、全面实行矿业权设置管理制度,提出了矿业权设置、矿业权设置方案概念及技术要点,指出矿业权设置不但需要开展政策、经济、技术等基础性研究,还要开展功能定位、适用性、合理性、保障措施等方面的研究。在此基础上规划了矿业权设置工作技术路线：依靠多专业技术团队,在国家矿产资源政策的指导下,分析现有地质资料,划分矿业权设置区及矿业权区块,对涉及开采总量控制矿种进行专题论证,并对汇总成果按技术要求进行编制。     

褐煤生物产气规律及其液相体系中阳离子变化特征

为研究褐煤生物产气规律及其液相体系中常见阳离子变化特征,以内蒙古胜利褐煤为产气底物,寺河矿区煤层气井排采水中微生物作为发酵菌群,利用5 L厌氧发酵罐进行模拟生物产气实验,采用离子色谱仪对发酵液中的NH₄⁺、K⁺、Ca²⁺、Mg²⁺和Na⁺5种阳离子浓度进行动态监测。结果表明：煤模拟生物产气周期为33 d,分为缓慢增长期、快速增长期和平缓期3个阶段,33 d单位质量煤净产甲烷量最高达23 μmol/g;产气体系中NH₄⁺（741.5 mg/L）和K⁺（994.5 mg/L）离子质量浓度变化最为明显,Ca²⁺（26 mg/L）、Mg²⁺（10.7 mg/L）和Na⁺（72 mg/L）次之,表明发酵液中5种阳离子均参与了褐煤生物产气过程,且被不同程度地释放和利用;褐煤生物产气量与阳离子浓度有一定相关性,单位质量煤产气量与NH₄⁺和K⁺浓度呈正相关,与Ca²⁺、Mg²⁺浓度呈负相关。此外,NH₄⁺和K⁺以及Ca²⁺和Mg²⁺之间浓度呈显著正相关。由实验结果可知：褐煤生物产气液相体系中4⁺、K⁺、Ca²⁺、Mg²⁺和Na⁺5种阳离子会随着煤中有机组分的厌氧降解而缓慢释放、再吸附,同时可被微生物利用参与细胞内的生物化学反应。     

地形数据库增量信息数据建模及其RDF描述

为了保持用户数据库现势性,需将数据库更新过程中产生的增量信息及时发布给用户。而增量信息的建模与描述是实现发布的前提。以中国1∶25万地形数据库的两个版本为例研究了增量信息的数据建模和数据描述的问题。提出了基于超图数据模型的建模和基于资源描述框架（RDF）的增量信息描述方法。该方法能够以统一的方式实现不同增量信息的建模和描述,具可行性和有效性。     

安徽省重要矿产地质勘查项目区块（探矿权）设置研究

安徽省是我国矿产资源丰富的省份之一,是重要的煤炭、有色金属、建材及钢铁生产基地,矿业经济在安徽省的经济发展中占有十分重要的地位。为进一步加强探矿权管理,鼓励、支持社会资金参与矿产资源勘查开发,促进矿产资源管理健康有序发展,创新地质勘查开发新机制,实现安徽省地质找矿新的重大突破,特对安徽省重要矿产地质勘查项目区块(探矿权)设置进行研究。在安徽省矿产资源总体规划和地质勘查规划的总体框架下,对安徽省重要矿产勘查区、预留区、成果保护区的地质背景和成矿条件进行研究,进一步细化和实施地质勘查规划,突出重点矿种和重点成矿区带勘查工作,科学合理地划分勘查区块,设立矿产勘查项目区块(探矿权),为地质勘查及探矿权设置和整合提供技术依据。