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By Meimei Zhang

In the overall open pit mine planning process, mining phase design is a strategic driver in guiding and constructing the block extraction sequence and determining the annual net cash flow distribution. Mining phase design should obey some practical constraints, such as ?minimum mining width? and ?flat mining phase bottom?, to allow space for haul road development and truck and shovel access on each bench. However, these practical mining phase design requirements are not taken into account in all first-cut mining phase design methods and post-processing is always required to convert an impractical design to a practical one, resulting in a potentially significant loss of Net Present Value (NPV) relative to the first-cut impractical designs. In this paper, we present a method using a meta-heuristic algorithm ? Simulated Annealing ? to enforce those practical constraints in determining a mineable phase design whilst ensuring minimum NPV loss.

Oct 1, 2009

By Martin Kesting

The world wide growth dynamics and the continuously growing demand for energy, results in increasing energy prices. Looking from this point, the efficient exploitation of fossil fuel deposits has become a more important factor to the production of energy raw materials than ever before. This shall be reached by an increase of the automation degree of the bucket wheel excavator in the open pit mining as well as a quality increase of the entire mining process chain. A further optimization of this operation can only be achieved by gathering additional information about the input parameters. The earlier and more exact the description of the input parameter, the greater the effectiveness of the entire process chain. To address this major issue, the RWE Power AG assigned the Institute for Transportation and Automation Technology with the research project "SIMT, Sensory Identification of Material Type and Detection of the Interfaces" [Kes07]. Presently, the control of the bucket wheel excavator is carried out manually by the operator, as well as the visual identification of the different geological layers and the energy raw materials. In this paper, a sensor-system is introduced, which was developed in order to transfer the manual material identification and detection of interfaces into an automatic online procedure. A special challenge and the main focus of this contribution is the integration of this sensor system into a bucket of the bucket wheel excavator. For measuring procedures where direct contact with the in situ material is necessary, the sensor has to be integrated into the bucket. Since direct contact with the material is not necessary, it can be integrated next to the bucket wheel. The results of a preliminary study show that although there is a broad spectrum of sensor technologies for material and interface identification, only a few are suitable for an application in on-line measuring at the bucket wheel excavator. Taking into consideration the demands on the sensor technology, the studies carried out and comparable applications of individual sensor technologies which have already taken place in practice, the integration of the following measuring systems have been realized: ground penetrating radar / reflection measurements, geo electric, resistance geo electric technology. The solution developed in the research project offers for the first time the direct integration of sensor systems into the bucket of a bucket wheel excavator. It will now be possible to test other measurement methods and sensors, not only for the ones already mentioned. As an example the integration of a triaxial accelerometer to measure the solid borne sound and vibrations concerning the cutting of different materials will be shown.

Oct 1, 2009

By Hamid Mahmoudabadi

In the present paper, the performance of four approaches based on neural networks and geostatistical method for grade estimation are compared and analyzed their performance to find a proper method. Four methods, Multi Layer Perceptron neural network (MLP), Radial Basis Function (RBF), General Regression Neural Network (GRNN) and Ordinary Kriging (OK) are selected for ore grade estimation of variable Fe in an iron deposit located in Iran. For each method, two diagnostic statistics are calculated: Mean square error (MSE) and correlation coefficient. The results show the superiority of the General Regression Neural Network.

Oct 1, 2009

By Solar D. Andrés

Several large open pit mines are facing the challenge to design and plan an underground transition to sustain the long term future of their operations. The desired underground method is Block Cave since its natural high productivity and low operating cost that could compete against the open pit cost to mine the final open pit pushbacks. It has been found at several operations where this transition is taking place that the pit limit at which transition is performed is rather deep. This aims to think that perhaps several transition projects have started late in the life of an operation producing an over stress in the transition project and reducing the flexibility in the design of the overall infrastructure and a substantial lost in the complete project NPV. Traditionally the approach to plan open pit underground transition consists of sequentially deciding the final pit using a Lerchs and Grossman type of optimization to find the overall maximum pit shell and then running block cave simulations to find the best footprint for the underground option. The research summarized in this paper is related to the development of an integer linear programming model that aims to compute simultaneously the maximum NPV of the combined option final limit open pit and block cave underground footprint. The model has been tested using two large block models representing two of the current operations in the process of transiting from open pit to underground operations. Finally, the integrated open pit underground transition model is going to be compared to the traditional sequential approach in order to define which method achieves the best NPV. The paper illustrates both case studies in depth.

Oct 1, 2009

By Jan W. Merks

The objective of metrology in mineral exploration is to derive unbiased confidence limits for masses of metals contained in reserves and resources. Sets of test results for gold and silver determined in pairs of interleaved bulk samples give unbiased confidence limits for the central value of each metal. The same sets of test results show how to verify spatial dependence by applying Fisher?s F-test to the variance of a set and the first variance term of the ordered set. A significant degree of spatial dependence gives a higher degree of precision for the central values of gold and silver. Plotting variance terms of an ordered set against the variance of the set and its lower limits of asymmetric 99% and 95% confidence ranges gives a sampling variogram. Sampling variograms put in plain view where spatial dependence in sampling units or sample spaces dissipates into randomness. The application of statistical methods to test results for sets of ordered core samples within boreholes, and for sets of ordered ore volumes within profiles, plays an important role in defining reserves and resources.

Oct 1, 2009

By Ernest Baafi

A simulation model RoadSIM using the ARENA modelling system has been developed to evaluate roadway development options for a given development panel configuration. The RoadSIM simulation system has provisions for variability/randomness in operations including cutting and loading at the face, tramming and discharge of coal to the boot end and availability of equipment. The modelling system provides a means for assessing the operational limitations of roadway development practices at a particular coalmine. It is a ?what if? tool that allows a range of equipment, configurations and operating practices to be assessed in terms of achievable advance rates and equipment utilisation. Output from the system is in the form of a dynamic visualisation as well as summary reports and detailed logs of operations over time.

Oct 1, 2009

By Sebastián H. Troncoso

Open pit mine planning is normally based on the selection of an economic envelope that has been generated by the Lerchs & Grossman algorithm, which requires individual economic valuation of each block of a geological block model. The selected envelope, usually called Final Pit, is later discretized in pushbacks and benches, which correspond finally to the fractions that the production schedule will allocate in time. This planning methodology has been widely used by the mining industry in countless projects to exploit open-pit mines, however, in many of the deposits can be found some undesirable elements such as arsenic, phosphates, ash among others that tend to reduce the value of elements of economic interest, either by disrupting the processes of concentration or as deemed impurities that affect the quality of the final product. Thus, a fair amount of blending would be required to capture the real value of the ore body. The traditional approach under estimates a block value by penalizing the block value by the amount of contaminant even when at the mine a set of blocks is amine at a time. This paper proposes a methodology for computing cut off grades over time that would maximize net present value allowing blending that should fulfill a set of metallurgical constraints. Preliminary results show significant increases in value and reserves quantity, questioning the use of fixed cut-off grades in generating a production schedule when blending applies to fulfill a set of geometallurgical constraints. Finally, the model allows the authors to show the importance of having adequate planning tools that will lead to the ability to look at the potential economic value of a mineral deposit.

Oct 1, 2009

By André van Wageningen

Since the beginning of this century Boliden Mineral and Atlas Copco have worked together in stages on improving the accuracy and quality of drilling. Navigation of the drill rigs with IREDES has been in use in the Boliden mines for several years. Recently the capability of the system has extended with map navigation to more accurately follow the ore in cut&fill mines. The system allows for changes on the individual round level to follow the ore without changing the whole design for the heading. Those changes are done in a CAD-system and remove the need for face markings and will allow for even better accuracy in both height and wall position. All the information between the CAD-system and the drill rigs is exchanged using the IREDES standard. This paper describes the workflow and the use of the IREDES standard.

Oct 1, 2009

By Jiwen Zhang

Abstract Due to the blocking nature at the crusher station, straightforward application of queuing theory cannot give realistic results on the performance of a shovel-truck-crusher system. A new queuing network-based model has been developed in which, the crusher station is formulated into an open queuing network and the whole shovel-truck-crusher system into a closed queuing network with the crusher station as a special server. To fully account for the influence of blocking, Monte Carlo simulation is first used to obtain the performance parameters of the open queuing network for the crusher station. The closed queuing network for the entire system is solved by applying the Extended Summation Method (ESUM), in which the crusher server is described by the simulation results. The model has been applied to the Yuanbaoshan open-pit coal mine to analyze its shovel-truck-crusher system and to improve its efficiency. Results indicate that the blocking at the crusher is an important factor affecting the crusher output and in turn the efficiency of the whole system, and prove that the model can realistically describe the behavior of such systems.

Oct 1, 2009

By Reik M. Winkel

Radar Technologies are successful implemented in the military industry since decades and recently found their way in the mining industry as level gauge radars for bin applications. The latest generation of microwave radar sensors are capable to provide geometrical data of the surrounding area of mining machines, too. Radar sensors are an improvement to laser scanners as they are more robust and able to penetrate dust and mist. Radar sensors will be the key source for operator assistance systems. indurad and RWTH Aachen University conducted a large series of tests at open pit mines and underground coal mines to determine the potential of the new two dimensional Dual Range Radar iDRR. Several applications were determined as highly feasible and are now completed respectively in the implementation stage. The authors are giving an insight in the experimental results, the implementation and an outlook of future applications for this technology.

Oct 1, 2009

By Shahram Tafazoli

This article presents a novel technology for sensing the size of rocks after blasting in hard rock mines. Blast engineers require rock size statistics to carefully adjust the blasting parameters. The rock fragmentation requirements vary depending on the ore type and crusher specifications. The most popular statistical parameters in the industry are the so-called P numbers (e.g., P80 and P100). A machine vision based system is introduced here for automatic image collection and fragmentation analysis of the material right inside the bucket or dipper of mining shovels. A heavy-duty camera provides the required imaging data to an embedded computer mounted inside the cab. A custom machine vision software continuously analyzes the captured bucket images and stores the suitable ones in local storage which are then fed to a Desktop software for automatic fragmentation analysis. This technology has been developed by Motion Metrics International and is commercially available as FragMetrics?.

Oct 1, 2009

By Jiwen Zhang

Due to the blocking nature at the crusher station, straightforward application of queuing theory cannot give realistic results on the performance of a shovel-truck-crusher system. A new queuing network-based model has been developed in which, the crusher station is formulated into an open queuing network and the whole shovel-truck-crusher system into a closed queuing network with the crusher station as a special server. To fully account for the influence of blocking, Monte Carlo simulation is first used to obtain the performance parameters of the open queuing network for the crusher station. The closed queuing network for the entire system is solved by applying the Extended Summation Method (ESUM), in which the crusher server is described by the simulation results. The model has been applied to the Yuanbaoshan open-pit coal mine to analyze its shovel-truck-crusher system and to improve its efficiency. Results indicate that the blocking at the crusher is an important factor affecting the crusher output and in turn the efficiency of the whole system, and prove that the model can realistically describe the behavior of such systems.

Oct 1, 2009

By Shahram Tafazoli

This article presents a novel technology for sensing the size of rocks after blasting in hard rock mines. Blast engineers require rock size statistics to carefully adjust the blasting parameters. The rock fragmentation requirements vary depending on the ore type and crusher specifications. The most popular statistical parameters in the industry are the so-called P numbers (e.g., P80 and P100). A machine vision based system is introduced here for automatic image collection and fragmentation analysis of the material right inside the bucket or dipper of mining shovels. A heavy-duty camera provides the required imaging data to an embedded computer mounted inside the cab. A custom machine vision software continuously analyzes the captured bucket images and stores the suitable ones in local storage which are then fed to a Desktop software for automatic fragmentation analysis. This technology has been developed by Motion Metrics International and is commercially available as FragMetrics?.

Oct 1, 2009

By Andrew Bamber

A fast and objective spreadsheet-based model for the financial evaluation of innovative mining and processing strategies such as pre-concentration vs. a conventional base case is presented. The size and grade of the deposit must be chosen, from which a mining rate is selected. Expected operational data for the deposit as well as any mill testwork and results from the pre-concentration testwork are entered as input variables on the sheet, and cost and revenue impacts are calculated in the ?Output? sheet. A capital sum and operating costs for the initial mine and mill development as well as the pre-concentration facility are calculated. The net changes in capital and operating costs are calculated, and impacts on revenue through changes in metal recovery are also calculated. These outputs are used to calculate the overall impact on the cutoff grade and thus the size of the mineral reserve using a generic grade-tonnage model. The NPV and NPV profile of the two scenarios is calculated, with variations in basic parameters such as operating cost, capital requirements, metal price or grade as well as discount rate. Cost and revenue impacts are evaluated and compared to the baseline to establish a positive or negative impact overall. Different scenarios of grade, tonnage, mining rate, process performance, capital and operating cost structure can be explored using the model. Outcomes projected by the model for case studies conducted thus far have been calibrated against internal estimates by the sponsoring organizations and found to be accurate to within 30%, confirming the utility of the model in practice.

Oct 1, 2009

By Henry Gómez Urquizo

El presente trabajo señala que la capacitación y entrenamiento en tecnologías de automatización y control a distancia, es una alternativa viable para las poblaciones de jóvenes y adultos que se encuentran alejadas de los centros de entrenamiento especializado a través de los laboratorios virtuales de acceso remoto, los cuales permiten la realización de experiencias de aprendizaje semejantes a las que se logran bajo la modalidad presencial. Esta modalidad denominada "telepresencia", utiliza los recursos e infraestructura de los laboratorios reales que se utilizan en la capacitación presencial y mediante las TIC lo ponen a disposición de los estudiantes de los lugares remotos.

Sep 14, 2009

By J. Tremolada

El presente trabajo señala las bases y resultados que favorecen la recuperación del oro cuando se incrementa la concentración de oxigeno disuelto en la solución lixiviante. En ese sentido, el oxígeno es el agente que incrementa la disolución del oro, y el cianuro, su medio de transporte. Asimismo, aumentar la cantidad de oxigeno disuelto en la solución cianurada de riego mediante el uso de venturis (dispositivos que aspira aire del medio ambiente) logra soluciones cianuradas con concentraciones de oxígeno más altas, de forma se lograría una mejora en el proceso de la extracción del oro.

Sep 14, 2009

By Maribel Guzmán Córdova

Ante la problemática del tratamiento de drenajes ácidos de mina (DAM) se ha previsto solucionarlo a través del uso de tecnologías convencionales existentes como la precipitación química, osmosis inversa, intercambio iónico y separación por membranas. Sin embargo, estas técnicas presentan significativas desventajas como son los requerimientos de reactivos y costos de energía; además de la generación de lodos tóxicos. En este sentido, el presente texto describe el uso de “lodos activados”- en tanto materiales de desecho que procedentes de un proceso industrial, pueden remover metales pesados de un drenaje ácido de mina,

Sep 14, 2009

By Violeta Vigo Vargas

El Centro de Innovación Tecnológica en Joyería “Koriwasi”, CITE Joyería Koriwasi, es el resultado de una alianza estratégica entre Minera Yanacocha (Asociación Los Andes de Cajamarca) y el Estado (MINCETUR). El proyecto se ejecutó hace cinco años y busca mejorar las capacidades técnicas y las condiciones tecnológicas del proceso productivo del artesano joyero mediante la implementación de una institución prestadora de servicios especializados. En ese sentido, el presente texto describe los objetivos estratégicos de dicha empresa para mejorar permanentemente las capacidades técnicas del artesano joyero en función a estándares internacionales y apoyar el proceso de producción individual del artesano joyero, mediante la facilitación de materiales procesados garantizados y la prestación de servicios de maquinado de calidad, así como desarrollar un sistema de información que promueva la articulación entre la red de artesanos joyeros y el mercado nacional e internacional.

Sep 14, 2009

By Henry Brañes

El presente trabajo describe el proceso de optimización metalúrgica de la planta concentradora “La Inmaculada” de la U.P. “El Cofre en Puno, dado que la mina no contaba con reserva suficiente para abastecer a la planta concentradora. Para ello, se ha dejado de realizar el blending de los minerales oxidados, mixtos y sulfurados y ahora se efectúan los tratamientos metalúrgicos en forma independiente para cada tipo de mineral (sulfurado, mixto y oxidado). Así también, se mejoró la calidad del producto final de molienda del orden y se ha modificado el reporte del balance metalúrgico diario de la planta concentradora, efectuando los balances por cada turno de operación, con indicación de controles de molienda, suma de recuperaciones y recuperación económica; representando este último es un índice indispensable y primordial que nos indica la eficiencia final económica con el que estamos operando.

Sep 14, 2009

By Omar Manfredo Herrera Terrazas

La voladura de rocas es una de las operaciones más relevantes dentro del proceso extractivo de minerales, cuyo objetivo es lograr un tamaño adecuado de roca, con un mínimo de daño en su entorno. Sin embargo, los resultados han sido adversos, incrementando los costos de operación. Por ello, el presente texto describe una metodología que basada en la exactitud del diseño de tiempos, optimiza los resultados de fragmentación en la mina Toquepala. Asímismo, incorpora la tecnología en su evaluación y desarrolla herramientas técnicas a objeto que permitan predecir el comportamiento de las variables que inciden en el desarrollo de las voladuras.

Sep 14, 2009