Relevant bibliographies by topics / Open pit mine planning

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Open pit mine planning'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Open pit mine planning"

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Parra, Andrés, Nelson Morales, Javier Vallejos, and Phu Minh Vuong Nguyen. "Open pit mine planning considering geomechanical fundamentals." International Journal of Mining, Reclamation and Environment 32, no. 4 (January 13, 2017): 221–38. http://dx.doi.org/10.1080/17480930.2017.1278579.

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Gu, Xiao Wei, Peng Fei Wang, Qing Wang, You Yi Zheng, Jian Ping Liu, and Bin Chen. "A Push-Back Sequencing Model for Production Planning in Open-Pit Coal Mining." Applied Mechanics and Materials 88-89 (August 2011): 219–24. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.219.

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A dynamic sequencing method has been developed to simultaneously optimize the coal production rate, waste stripping rate, mining sequence, and mine life of an open-pit coal mine. The method first establishes a geological seam model of a bedded coal deposit which estimates the relevant attributes of coal seams at the center of each block on the X-Y plane. Based on the seam model, a sequence of “geologically optimum push-backs” is generated in the final pit. The geologically optimum push-backs are then put into a dynamic sequencing model and economically evaluated. The best production schedule which has the highest NPV is obtained, which indicates the best quantities of coal and waste to be mined in each year, the best zone to be mined in each year, and the best number of years to mine the entire final pit.
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Otto, T. J., and G. C. Lindeque. "Improving productivity at an open-pit mine through enhanced short-term mine planning." Journal of the Southern African Institute of Mining and Metallurgy 121, no. 11 (November 30, 2021): 1–10. http://dx.doi.org/10.17159/2411-9717/1710/2021.

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Productivity is improved by increasing the ratio of output to input. In an operating open-pit mine, improving the productivity of heavy mining equipment (HME) enables the unit cost of production to be reduced. To optimize HME productivity, the Kolomela open-pit iron ore mine transitioned to an enhanced short-term mine planning (STMP) process that supports the application of a manufacturing-type operating model. At the core of the enhanced STMP process is a focus on integration across the open-pit mining value chain. The interdependencies between mining activities are highlighted and emphasized, thus ensuring that mining activities are synchronized. The improvements related to HME productivity were monitored from 2019 to 2020. The utilization of mining area in the Leeuwfontein pit improved from 71% to 90%, and the blasting frequency reduced by 14% while the average blast size increased by 17%. The distance travelled during shovel relocations between mining phases reduced by 16%, and the lost time associated with drills relocating reduced by 53%. These productivity improvements resulted in an 11% increase in the loading rate of the main waste shovel at Kolomela from 0.9 Mt/month in 2019 to 1.0 Mt/month in 2020. The enhanced STMP process can be adapted to other open-pit mining operations.
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Alvarez, Felipe, Jorge Amaya, Andreas Griewank, and Nikolai Strogies. "A continuous framework for open pit mine planning." Mathematical Methods of Operations Research 73, no. 1 (October 17, 2010): 29–54. http://dx.doi.org/10.1007/s00186-010-0332-3.

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Paricheh, Morteza, and Morteza Osanloo. "Concurrent open-pit mine production and in-pit crushing–conveying system planning." Engineering Optimization 52, no. 10 (November 6, 2019): 1780–95. http://dx.doi.org/10.1080/0305215x.2019.1678150.

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Rezakhah, Mojtaba, and Alexandra Newman. "Open pit mine planning with degradation due to stockpiling." Computers & Operations Research 115 (March 2020): 104589. http://dx.doi.org/10.1016/j.cor.2018.11.009.

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Strogies, Nikolai, and Andreas Griewank. "A PDE constraint formulation of Open Pit Mine Planning Problems." PAMM 13, no. 1 (November 29, 2013): 391–92. http://dx.doi.org/10.1002/pamm.201310191.

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Morales, Nelson, Sebastián Seguel, Alejandro Cáceres, Enrique Jélvez, and Maximiliano Alarcón. "Incorporation of Geometallurgical Attributes and Geological Uncertainty into Long-Term Open-Pit Mine Planning." Minerals 9, no. 2 (February 13, 2019): 108. http://dx.doi.org/10.3390/min9020108.

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Long-term open-pit mine planning is a critical stage of a mining project that seeks to establish the best strategy for extracting mineral resources, based on the assumption of several economic, geological and operational parameters. Conventionally, during this process it is common to use deterministic resource models to estimate in situ ore grades and to assume average values for geometallurgical variables. These assumptions cause risks that may negatively impact on the planned production and finally on the project value. This paper addresses the long-term planning of an open-pit mine considering (i) the incorporation of geometallurgical models given by equiprobable scenarios that allow for the assessing of the spatial variability and the uncertainty of the mineral deposit, and (ii) the use of stochastic integer programming model for risk analysis in direct block scheduling, considering the scenarios simultaneously. The methodology comprises two stages: pit optimization to generate initial ultimate pit limit per scenario and then to define a single ultimate pit based on reliability, and stochastic life-of-mine production scheduling to define block extraction sequences within the reliability ultimate pit to maximize the expected discounted value and minimize the total cost of production objective deviations. To evaluate the effect of the geometallurgical information, both stages consider different optimization strategies that depend on the economic model to be used and the type of processing constraints established in the scheduling. The results show that geometallurgical data with their associated uncertainties can change the decisions regarding pit limits and production schedule and, consequently, to impact the financial outcomes.
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Quelopana, A., and A. Navarra. "Integration of strategic open-pit mine planning into hierarchical artificial intelligence." Journal of the Southern African Institute of Mining and Metallurgy 121, no. 12 (December 31, 2021): 1–10. http://dx.doi.org/10.17159/2411-9717/1367/2021.

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The mine production scheduling problem (MPSP) has been studied since the 1960s, and remains an active area of computational research. In extending the concepts of the MPSP, the automated mine may now be regarded as a hierarchical intelligent agent in which the bottom layer consists of distributed robotic equipment, while strategic functionality occupies the higher layers. Here we present a disambiguation of artificial intelligence, machine learning, computational optimization, and automation within the mining context. Specifically, the Q-learning algorithm has been adapted to generate the initial solutions for a high-performing strategic mine planning algorithm, originally developed by Lamghari, Dimitrakopoulos and Ferland, based on the variable neighbourhood descent (VND) metaheuristic. The hierarchical intelligent agent is presented as an integrative conceptual platform, defining the interaction between our new Q-learning adaptation and Lamghari's VND, and potentially other hierarchically controlled components of an artificially intelligent mine, having various degrees of automation. Sample computations involving Q-learning and VND are presented.
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Bao, Haiming, Peter Knights, Mehmet Kizil, and Micah Nehring. "Electrification Alternatives for Open Pit Mine Haulage." Mining 3, no. 1 (January 1, 2023): 1–25. http://dx.doi.org/10.3390/mining3010001.

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Truck-Shovel (TS) systems are the most common mining system currently used in large surface mines. They offer high productivity combined with the flexibility to be rapidly relocated and to adjust load/haul capacity and capital expenditure according to market conditions. As the world moves to decarbonise as part of the transition to net zero emission targets, it is relevant to examine options for decarbonising the haulage systems in large surface mines. In-Pit Crushing and Conveying (IPCC) systems offer a smaller environmental footprint regarding emissions, but they are associated with a number of limitations related to high initial capital expenditure, capacity limits, mine planning and inflexibility during mine operation. Among the emerging technological options, innovative Trolley Assist (TA) technology promises to reduce energy consumption for lower carbon footprint mining systems. TA systems have demonstrated outstanding potential for emission reduction from their application cases. Battery and energy recovery technology advancements are shaping the evolution of TAs from diesel-electric truck-based patterns toward purely electrified BT ones. Battery Trolley (BT) systems combined with autonomous battery-electric trucks and Energy Recovery Systems (ERSs) are novel and capable of achieving further significant emission cuts for surface mining operations associated with safety, energy saving and operational improvements. This article reviews and compares electrification alternatives for large surface mines, including IPCC, TA and BT systems. These emerging technologies provide opportunities for mining companies and associated industries to adopt zero-emission solutions and help transition to an intelligent electric mining future.
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Dissertations / Theses on the topic "Open pit mine planning"

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Anderson, J. Michael. "Open pit mine planning using simulated gold grades." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/MQ54442.pdf.

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Giannini, Luciano Mario. "Optimum design of open pit mines." Thesis, Curtin University, 1990. http://hdl.handle.net/20.500.11937/1342.

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A fundamental problem in open pit mine planning is that of determining the optimum ultimate pit limits of the mine. These limits are that pit contour which is the result of extracting a volume of material which maximizes the difference between the value of extracted ore and the total extraction cost of ore and waste whilst satisfying certain practical operational requirements, such as. safe wall slopes. The determination of the optimum pit contour provides information which is essential in the evaluation of the economic potential of the mineral deposit.A number of optimization techniques have been proposed for determining the optimum pit contour. Of these techniques, those based on graph theory, linear programming and dynamic programming are mathematically rigorous, but only those based on graph theory are more suited to solving the three-dimensional problem. Unfortunately, direct application of these techniques to large ore- bodies may cause considerable difficulties because of the exceptionally high demand on computer storage and time requirements. Indeed, 25 years of research effort has not satisfactorily resolved these computational problems.A major contribution of the work presented in this thesis is the successful implementation of a system of techniques to solve the graph theoretic model, particularly when applied to large ore- bodies. A measure of this success is the fact that pits, as much as seven times larger may be designed with a given amount of computer storage, at a fraction of the time required by current software packages. The solution strategy presented involves the application of a modified Dinics Maximum Flow algorithm, together with an efficient data reducing technique. Computational results of these techniques applied on data from gold producing mines in Western Australia are used to demonstrate the success of this strategy.The relationships between the rigorous pit optimization techniques are also considered in this work. In particular, the Lerchs-Grossman graph-theoret ic method is shown to be stepwise equivalent to a modified version of the Dual-Simplex Linear Programming technique and not as efficient as the Network Flow method.
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Giannini, Luciano Mario. "Optimum design of open pit mines." Curtin University of Technology, Department of Mathematics and Statistics, 1990. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=15490.

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A fundamental problem in open pit mine planning is that of determining the optimum ultimate pit limits of the mine. These limits are that pit contour which is the result of extracting a volume of material which maximizes the difference between the value of extracted ore and the total extraction cost of ore and waste whilst satisfying certain practical operational requirements, such as. safe wall slopes. The determination of the optimum pit contour provides information which is essential in the evaluation of the economic potential of the mineral deposit.A number of optimization techniques have been proposed for determining the optimum pit contour. Of these techniques, those based on graph theory, linear programming and dynamic programming are mathematically rigorous, but only those based on graph theory are more suited to solving the three-dimensional problem. Unfortunately, direct application of these techniques to large ore- bodies may cause considerable difficulties because of the exceptionally high demand on computer storage and time requirements. Indeed, 25 years of research effort has not satisfactorily resolved these computational problems.A major contribution of the work presented in this thesis is the successful implementation of a system of techniques to solve the graph theoretic model, particularly when applied to large ore- bodies. A measure of this success is the fact that pits, as much as seven times larger may be designed with a given amount of computer storage, at a fraction of the time required by current software packages. The solution strategy presented involves the application of a modified Dinics Maximum Flow algorithm, together with an efficient data reducing technique. Computational results of these techniques applied on data from gold producing mines in Western Australia are used to demonstrate the success of this strategy.The relationships ++
between the rigorous pit optimization techniques are also considered in this work. In particular, the Lerchs-Grossman graph-theoret ic method is shown to be stepwise equivalent to a modified version of the Dual-Simplex Linear Programming technique and not as efficient as the Network Flow method.
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Farrelly, Christopher Terence. "Risk quantificaiton in ore reserve estimation and open pit mine planning /." St. Lucia, Qld, 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16453.pdf.

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Puell, Ortiz Jorge. "Methodology for a dump design optimization in large-scale open pit mines." TAYLOR & FRANCIS AS, 2017. http://hdl.handle.net/10150/626612.

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Modern large-scale open pit mines move hundreds of thousands of tonnes of material daily, from the loading sources to the destination zones, whether these are massive mine dumps or, to a lesser extent, to the grinding mills. Mine dumps can be classified as leach or waste dumps, depending upon their economic viability to be processed in-place, a condition that has experienced great progress in the last decades and has reconfigured the open pit haulage network with an increase in the number of dumps. Therefore, new methods for dump design optimization are of the highest priority in mine planning management. This paper presents a methodology to model and optimize the design of a dump by minimizing the total haulage costs. The location and design of these dumps will be given mainly by the geological characteristics of the mineral, tonnage delivered, topographical conditions, infrastructure capital and transportation costs. Spatial and physical design possibilities, in addition, provide a set of parameters of mathematical and economic relationship that creates opportunities for modelling and thus facilitates the measurement and optimization of ultimate dump designs. The proposed methodology consists of: (1) Formulation of a dump model based on a system of equations relying on multiple relevant parameters; (2) Solves by minimizing the total cost using linear programming and determines a "preliminary" dump design; (3) Through a series of iterations, changes the "preliminary" footprint by projecting it to the topography and creates the ultimate dump design. Finally, an application for a waste rock dump illustrates this methodology.
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Zhao, Yixian. "Algorithms for optimum design and planning of open-pit mines." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185842.

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A graph theory oriented algorithm for optimal ultimate pit limit design is developed. Mathematical proofs of optimality and convergence are given. The algorithm works on a 3-D block mine model and formulates the model into a directed graph consisting many trees. The vertices in the graph are identified with the blocks in the model and the imposed arcs in the graph represent pit slope constraints. The formation of each directed tree is based more on the ore-waste support concept than geometric constraints alone. The algorithm efficiently handles the joint support and re-allocation problems. The theoretical proof shows that the new algorithm is consistently faster than the well known Lerchs-Grossmann's (LG) algorithm, which is the only algorithm developed in the past one-quarter century capable of producing a true optimum pit limit. The case study results show that the new algorithm is able to generate the optimal ultimate pit limit for a model with 80 columns x 80 rows x 40 levels on an IBM PC AT 80286 microcomputer in 115 minutes. The indirect comparison was made between the results of the new algorithm and the results obtained by P. Huttagosol (1988, 1989) using the LG algorithm. P. Huttagosol optimized a smaller mine model than the one optimized by the new algorithm in 535 minutes of VAX8600 CPU time. The comparison between 535 minutes of VAX8600 CPU time for a smaller model with 115 minutes PC AT processing time for a bigger model clearly indicates that the new algorithm is significantly faster than the LG algorithm. This study also investigates both proposed mathematical optimization approaches and the popular trial and error "pushback" approach to long range mine planning. Both the theoretical analysis and numerical examples demonstrate it is impossible to obtain the optimal solution to mine production scheduling by the approach combining the Lagrangian relaxation with the ultimate pit limit algorithm. The non-convergence due to redundant optimal solutions and the non-convergence due to the requirement of advanced stripping are identified with the proposed approach. The investigation clarifies the long-time misunderstood concept and proves the impossibility of such a research direction itself. Finally, some problem solving techniques which play important roles in the computerized mine planning and grade control are developed and discussed. Specifically, they are: (1) point-in-polygon algorithm, (2) polygon area algorithm, (3) polygon clipping algorithm, (4) blast hole data collection, validation and database maintenance, and (5) the interactive graphics ore-waste delineation.
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Nascimento, Leite Andre. "Stochastic optimization approaches to open pit mine planning : applications for and the value of stochastic approaches." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116039.

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The mine production schedule defines the sequence of extraction of selected mine units over the life of the mine, and consequentially establishes the ore supply and total material movement. This sequence should be optimized so as to maximize the overall discounted value of the project. Conventional schedule approaches are unable to incorporate grade uncertainty into the scheduling problem formulation and may lead to serious deviations from forecasted production targets. Stochastic mine production schedulers are considered to obtain more robust mine production schedule solutions.
The application of stochastic approaches to the mine production schedule problem is recent and additional testing is required to better understand these tools and to define the value of a stochastic solution as compared to the conventional result. Two stochastic schedulers are tested in a low-grade variability copper deposit, optimization parameters are discussed and their results compared with a conventional schedule.
The first method uses a stochastic combinatorial optimization approach based on simulated annealing to address the mine production schedule problem. The method aims for maximization of the net present value (NPV) of the project and minimization of deviations from the production targets. These objectives are attained by incorporating grade uncertainty into the mine production schedule problem formulation. The second method formulates the problem as a stochastic integer programming problem, in which the objective is the maximization of the projects' NPV and the minimization of production targets deviations. The model can also manage how the risk of deviating from the targets is distributed between production periods.
Both stochastic approaches were tested in a low-grade variability copper deposit. In both case studies, the value of a stochastic solution is demonstrated to be higher than the conventional one. This fact demonstrated the misleading results that a conventional schedule may produce and shows the importance of not ignoring the presence of uncertainty when defining the mine production schedule for a project.
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Hölck, Teuber Carlos Javier. "Open pit geomechanics and mine planning integration: design & economic assessment of a subsurface slope deformation monitoring campaign." Tesis, Universidad de Chile, 2016. http://repositorio.uchile.cl/handle/2250/141034.

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Magíster en Minería. Ingeniero Civil de Minas
La geomecánica y planificación minera son áreas de la minería a cielo abierto íntimamente relacionadas, ya que las restricciones geomecánicas limitan al diseño minero y, así, los planes mineros factibles. El diseño y los planes mineros han de empujar los límites de lo que la geomecánica permite, para asegurar operaciones mineras competitivas y mantener un nivel de riesgo al personal y operaciones aceptable. Luego, se requiere del monitoreo geotécnico para adquirir datos de calidad que permitan un diseño minero de alto nivel. Sin embargo, la relación entre geomecánica y planificación minera no se extiende al diseño e implementación de programas de monitoreo. En general, los programas de monitoreo de deformaciones superficiales son diseñados con posterioridad al inicio de la operación del rajo y cuando se han identificado signos de inestabilidad en la superficie de los taludes. El monitoreo de deformaciones del subsuelo permite alertar sobre fallas en desarrollo semanas antes de que estas se hagan notar en superficie. Luego, se debería diseñar campañas de monitoreo de deformaciones del subsuelo durante el proceso de planificación minera, considerando el diseño minero en la instalación de instrumentos geotécnicos previo a la construcción de la mina. Lo que permitiría registrar el proceso de relajación del macizo a medida que la construcción progresa y adquirir datos más exhaustivos del comportamiento del macizo rocoso (antes que con monitoreo superficial), con el fin de optimizar el diseño de taludes futuros y adoptar medidas correctivas para evitar fallas. En esta tesis, fueron diseñadas una serie de campañas de monitoreo de deformaciones del subsuelo usando In-Place Inclinometers, ShapeAccelArrays y Networked Smart Markers (NSMs) como equipos de monitoreo. Las opciones fueron aplicadas a una mina teórica desarrollada como parte de la tesis y comparadas en términos de costos, cantidad y calidad de los datos recopilados. Los resultados indican a la opción de NSMs cada 2[m] como la más eficiente en cuanto a costos ya que: (1) presenta el menor costo por unidad de datos adquiridos (US$57.21) y (2) 5 veces mayor vida útil, lo que permitiría obtener el doble de datos que la siguiente mejor opción, (3) se financia con un aumento de 2° en el ángulo de talud y (4) aumenta el VAN del proyecto en 3.2%.
Open pit geomechanics and mine planning are two closely related areas in the development of an open pit mine since geotechnical constrains limit the possible mine designs and, thus, the feasible mine plans. Mine designs and plans have to push the limits of what rock mass geomechanics allow to assure competitive mine operations, while maintaining acceptable levels of risk to operations and personnel. Therefore, geotechnical monitoring programs are required to acquire good quality data to be used as input for mine design. However, the relation between geomechanics and mine planning does not extend to monitoring programs design and implementation. Generally, surface deformation monitoring programs are designed after the project is in operation and signs of slope instability have been identified on the surface. Subsurface deformation monitoring can alert about developing failures weeks before any sign of instability is noted on the surface. Therefore, subsurface deformation monitoring campaigns should be designed along the mine planning process and considering the mine s design to install geotechnical instrumentation prior to the construction of the slopes. This methodology would allow to register the rock mass relaxation process as construction progresses and to acquire more comprehensive data about rock mass behaviour, in advanced of surface monitoring, towards future slope design optimization and adoption of remedial measurements to avoid failure. In this thesis, a series of subsurface deformation monitoring campaign were designed using In-Place Inclinometers, ShapeAccelArrays and Networked Smart Markers as monitoring devices. All options were applied to a theoretical open pit developed as part of this work. The campaigns were compared in terms of cost, quantity and quality of gathered data. The results showed that the campaign using NSMs installed every 2 meters was the most cost-efficient option as it represented: (1) the lowest cost per unit of gathered data (US$57.21), (2) five times longer lifespan, which allowed to gather twofold the amount of data compared with the next best option, (3) be financing of the campaign through steepening of the slopes by 2° and (4) increase in project s original NPV by 3.2%.
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De, Carli Carla. "Análise de projetos limite : lavra a céu aberto x lavra subterrânea." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/77760.

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Com o passar dos anos a sociedade tem se tornado gradativamente mais dependente de recursos minerais para o seu funcionamento e para o desenvolvimento de produtos. A maior parte das coisas que cercam o homem necessita de alguma espécie de bem mineral como matéria prima para sua fabricação. Por isso, cada vez mais, a mineração tem sido objeto de estudos, buscando aprimoramento e desenvolvimento nos métodos de extração de minérios. Existem duas formas utilizadas para a extração de bens minerais, uma por uso de métodos de lavra a céu aberto (OP) e outra através da aplicação de métodos para lavra subterrânea (UG). A definição de qual método deve ser aplicado em cada caso depende de diversos fatores, como profundidade e geometria do corpo mineral, competência da rocha portadora do minério e da rocha encaixante, entre outros, mas ao final, aspectos econômicos predominam para a definição da viabilidade de cada um dos possíveis métodos. Porém, existem casos em que a melhor escolha para minerar o depósito não se dá por umas dessas duas opções, e sim, pela combinação de ambas, ou seja, a aplicação da lavra a céu aberto seguida da extração dos recursos remanescentes por lavra subterrânea. A grande dificuldade, nestes casos, é definir qual o momento ideal para a transição de método, de maneira que os resultados do projeto integrado sejam otimizados e que um método não inviabilize o outro. Para isso é necessário analisar as duas opções de lavra individualmente, lavrando somente a céu aberto e lavrando somente por métodos subterrâneos, além de analisar-se a viabilidade do projeto através da combinação dos dois métodos, comparando as opções técnica e economicamente e selecionando a que apresente a melhor resposta ao final, para então tomar-se a decisão de qual alternativa de projeto é o mais indicado para cada caso.
Over the years, the society has become progressively dependent on mineral resources for its operation and for development of products. The majority of the things that surround the men needs some kind of mineral material as raw material for its manufacture. Therefore, increasingly, mining has been studied aiming to improve and develop methods of mineral extraction. There are two ways that are utilized to mineral extraction, one by open pit methods (OP) e another by application of underground methods (UG). The definition of which one should be applied in each case depends on many factors, such as depth and geometry of the mineral body, strength of the mineralized and bounding rock, among others, but at the end, economic aspects are predominant for the definition of viability of the methods. However, there are some cases where the best choice to mine the deposit is not one of these options, but the combination of both methods, it means, the application of open pit mining followed by extraction of remaining resources by underground mining. The great challenge, in these cases, is to define what is the right moment for the transition of the methods, making sure that the results are optimized and one method do not impede the development of the other one. In this sense, it is necessary to analyze both options individually, mining the deposit only by open pit and mining only by underground, and also analyze the combination of the two methods, comparing these options technically and economically at the end, and then decide which project alternative is the best for each case.
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Tipe, Luis Alberto Martinez. "Strategic project evaluation for open pit mining ventures using real options and allied econometric techniques." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/48334/1/Luis_Martinez_Thesis.pdf.

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Open pit mine operations are complex businesses that demand a constant assessment of risk. This is because the value of a mine project is typically influenced by many underlying economic and physical uncertainties, such as metal prices, metal grades, costs, schedules, quantities, and environmental issues, among others, which are not known with much certainty at the beginning of the project. Hence, mining projects present a considerable challenge to those involved in associated investment decisions, such as the owners of the mine and other stakeholders. In general terms, when an option exists to acquire a new or operating mining project, , the owners and stock holders of the mine project need to know the value of the mining project, which is the fundamental criterion for making final decisions about going ahead with the venture capital. However, obtaining the mine project’s value is not an easy task. The reason for this is that sophisticated valuation and mine optimisation techniques, which combine advanced theories in geostatistics, statistics, engineering, economics and finance, among others, need to be used by the mine analyst or mine planner in order to assess and quantify the existing uncertainty and, consequently, the risk involved in the project investment. Furthermore, current valuation and mine optimisation techniques do not complement each other. That is valuation techniques based on real options (RO) analysis assume an expected (constant) metal grade and ore tonnage during a specified period, while mine optimisation (MO) techniques assume expected (constant) metal prices and mining costs. These assumptions are not totally correct since both sources of uncertainty—that of the orebody (metal grade and reserves of mineral), and that about the future behaviour of metal prices and mining costs—are the ones that have great impact on the value of any mining project. Consequently, the key objective of this thesis is twofold. The first objective consists of analysing and understanding the main sources of uncertainty in an open pit mining project, such as the orebody (in situ metal grade), mining costs and metal price uncertainties, and their effect on the final project value. The second objective consists of breaking down the wall of isolation between economic valuation and mine optimisation techniques in order to generate a novel open pit mine evaluation framework called the ―Integrated Valuation / Optimisation Framework (IVOF)‖. One important characteristic of this new framework is that it incorporates the RO and MO valuation techniques into a single integrated process that quantifies and describes uncertainty and risk in a mine project evaluation process, giving a more realistic estimate of the project’s value. To achieve this, novel and advanced engineering and econometric methods are used to integrate financial and geological uncertainty into dynamic risk forecasting measures. The proposed mine valuation/optimisation technique is then applied to a real gold disseminated open pit mine deposit to estimate its value in the face of orebody, mining costs and metal price uncertainties.
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Books on the topic "Open pit mine planning"

1

Mark, Kuchta, ed. Open pit mine planning & design. Rotterdam: A.A. Balkema, 1998.

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Hustrulid, William. Open pit mine planning & design. Rotterdam: A.A. Balkema, 1995.

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Mark, Kuchta, ed. Open pit mine planning & design. 2nd ed. London: Taylor & Francis Group, 2006.

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4

Hustrulid, W. A. Open pit mine: Planning and design. Rotterdam: Balkema, 1995.

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Wright, E. Alaphia. Open pit mine design models: An introduction with FORTRAN/77 programs. Clausthal-Zellerfeld: Trans Tech Publications, 1990.

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P, Deetlefs J., South African Institute of Mining and Metallurgy, and Mining Alumni Society of the University of Pretoria, eds. The planning and operation of open-pit and strip mines: Proceedings of an international conference held at The University of Pretoria, 9-13 April 1984. Johannesburg: South African Institute of Mining and Metallurgy, 1986.

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Courchesne, Trevor R. Optimization of blast designs in an open pit quarry mine. Sudbury, Ont: Laurentian University, School of Engineering, 1987.

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Straskraba, Vladimir. Application of computer modeling for the design of open pit mine dewatering. [s.l.]: International Mine Water Association, 1985.

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Montana. Department of State Lands. Environmental assessment [for] Golden Sunlight Mines, Inc. open pit mine and vat leach mill. Helena?, Mont: Dept. of State Lands, 1993.

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Burman, B. C. Dewatering and depressurization studies for development of the Lochiel Open Pit Mine, South Australia. S.l: s.n, 1985.

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Book chapters on the topic "Open pit mine planning"

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Arteaga, Felipe, Micah Nehring, Peter Knights, and Juan Camus. "Schemes of Exploitation in Open Pit Mining." In Mine Planning and Equipment Selection, 1307–23. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_126.

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Dagdelen, K., and I. Traore. "Open Pit Transition Depth Determination Through Global Analysis of Open Pit and Underground Mine Production Scheduling." In Advances in Applied Strategic Mine Planning, 287–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69320-0_19.

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Froyland, G., M. Menabde, P. Stone, and D. Hodson. "The Value of Additional Drilling to Open Pit Mining Projects." In Advances in Applied Strategic Mine Planning, 119–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69320-0_10.

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Richmond, A. "Direct Net Present Value Open Pit Optimisation with Probabilistic Models." In Advances in Applied Strategic Mine Planning, 217–28. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69320-0_15.

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Trajković, Slobodan, Suzana Lutovac, and Marina Ravilić. "Determination of Safe Distance While Blasting at Open Pit Mine Zabrdica, Valjevo." In Mine Planning and Equipment Selection, 749–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_73.

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Fazeli, M., and Morteza Osanloo. "Mine Facility Location Selection in Open-Pit Mines Based on a New Multistep-Procedure." In Mine Planning and Equipment Selection, 1347–60. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_129.

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Montiel, L., R. Dimitrakopoulos, and K. Kawahata. "Simultaneously Optimizing Open-Pit and Underground Mining Operations Under Geological Uncertainty." In Advances in Applied Strategic Mine Planning, 231–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69320-0_16.

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Mahdi, Rahmanpour, and Osanloo Morteza. "Determining the Most Effective Factors on Open Pit Mine Plans and Their Interactions." In Mine Planning and Equipment Selection, 197–207. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_20.

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Shishvan, Masoud Soleymani, Christian Niemann-Delius, and Javad Sattarvand. "Application of Nonlinear Interpolation Based Methods in Open Pit Mines Planning and Design." In Mine Planning and Equipment Selection, 967–78. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_93.

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Statsenko, Larissa, and Nouné Sophie Melkoumian. "Modeling Blending Process at Open-Pit Stockyards: A Northern Kazakhstan Mining Company Case Study." In Mine Planning and Equipment Selection, 1017–27. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_98.

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Conference papers on the topic "Open pit mine planning"

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Liu, Wenfei, Liguan Wang, Lichun Wu, Zhe Wang, and Xiaochuan Xu. "Optimization of Ultimate Pit Realm of an Open Pit Coal Mine." In International Conference On Civil Engineering And Urban Planning 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412435.078.

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Cristescu, Bogdan, Gordon Stenhouse, Marc Symbaluk, and Mark Boyce. "Land-use planning following resource extraction – lessons from grizzly bears at reclaimed and active open pit mines." In Sixth International Conference on Mine Closure. Australian Centre for Geomechanics, Perth, 2011. http://dx.doi.org/10.36487/acg_rep/1152_89_cristescu.

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Min Zuo, Junping Du, Yipeng Zhou, and Xin Hongye. "The satellite positioning and planning system of open-pit mine vehicles and mining equipments." In China-Ireland International Conference on Information and Communications Technologies (CIICT 2007). IEE, 2007. http://dx.doi.org/10.1049/cp:20070786.

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Hall, Jonathan. "The hydro-geotechnical decision cycle – having mine design and planning decisions made by the right people." In 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2013. http://dx.doi.org/10.36487/acg_rep/1308_79_hall.

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Mrlina, J. "Monitoring Hazardous Open Pit Mine Slope." In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20148183.

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de Graaf, Phil, Geoff Beale, Trevor Carter, and Justin Dixon. "Geotechnical Guidelines for Open Pit Closure – a new publication by the Large Open Pit (LOP) project." In 14th International Conference on Mine Closure. QMC Group, Ulaanbaatar, 2021. http://dx.doi.org/10.36487/acg_repo/2152_120.

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Aung, Thant Zin, and Ohn Thaik. "Assessment of Sabetaung open pit general mine closure process." In Mine Closure 2022: 15th Conference on Mine Closure. Australian Centre for Geomechanics, Perth, 2022. http://dx.doi.org/10.36487/acg_repo/2215_89.

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More O’Ferrall, Gregory, and Nsipa Simbile. "Addressing pit wall instabilities in Africa’s largest open pit copper mine." In 2020 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2020. http://dx.doi.org/10.36487/acg_repo/2025_104.

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Toh, Jeremy, David Green, Gareth Swarbrick, Mark Fowler, and Beatriz Estrada. "Earthquake stability assessment for open pit mine slopes." In 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2013. http://dx.doi.org/10.36487/acg_rep/1308_84_toh.

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Vellingiri, Shanthi, Deepaknath Tandur, and Mallikarjun Kande. "Energy efficient wireless infrastructure solution for open pit mine." In 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2013. http://dx.doi.org/10.1109/icacci.2013.6637395.

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Reports on the topic "Open pit mine planning"

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Skone, Timothy J. Open Pit Uranium Mine, Construction. Office of Scientific and Technical Information (OSTI), November 2010. http://dx.doi.org/10.2172/1509112.

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Cavers, D. S., G. H. Baldwin, T. Hannah, and R. K. Singhal. Design methods for open pit coal mine footwalls. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304972.

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Jarpe, S. P., B. Moran, P. Goldstein, and L. A. Glenn. Implications of mining practices in an open-pit gold mine for monitoring of a comprehensive test-ban treaty. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/207601.

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Jarpe, S. P., P. Goldstein, B. Moran, and L. A. Glenn. Preliminary report on the implications of mining practices in an open-pit gold mine for monitoring of a comprehensive Test Ban Treaty. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/89555.

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Fisekci, M. Y., and N. J. Stuart. Initial field application/tests of telemetry system to monitor 33 Stability of highwall and tailings areas at the Syncrude Oilsands open pit mine. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304859.

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Urban, Angela, Ioannis Wallingford, Stephen Cosper, Abigail Rice, Whitney Wolf, H. Anderson, Michael Wolford, Chad Gemeinhardt, and David Stokes. Standard Operating Procedure (SOP) for open-air solid waste burning in contingency locations. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45363.

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Abstract:
Service engineer doctrine and field manuals, such as Army Techniques Publication 3-34.40, Technical Manual 5-634, and Army Regulation 420-1, offer guidance on solid waste management but do not provide the level of detail and practical guidance for open-air burning of solid waste to reduce risk to the Warfighter. Studies have shown that there could be ill health effects to service members from exposure to toxins from open-air burning. Further practical guidance is necessary to ensure that if there are no other means available for solid waste disposal, the risks associated with open-air burning are minimized as much as possible during contingency operations. Commands have limited resources and reduced personnel available to study which open-air burning procedures are optimal based on readiness and mission requirements. Planning for efficiency and risk avoidance in open-air burning operations includes several facets (e.g., site planning, processing, and recordkeeping considerations). This special report provides operational guidance to minimize risk of open-air burning for the Warfighter and other joint service personnel, particularly when there is no other alternative to open-air burning, during initial phase operating a burn pit or for waste management planning to establish standard operating procedures.
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White, H. P., W. Chen, and S G Leblanc. Satellite observations for detection of dust from mining activities in a caribou habitat, Northwest Territories and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330548.

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Diamond mining via open pit mining has been ongoing within the Tlicho region of the Northwest Territories for several decades, which includes the habitat range of the Bathurst Caribou Herd. This has led to the importance of quantitative characterization of the Zone Of Influence (ZOI), where resource development activities may be influencing the natural behaviour of the caribou herd in the tundra environment. As part of better defining and understanding the ZOI in this region, an initiative to evaluate the potential of detecting and mapping mine waste rock dust in the surrounding environment is explored. This dust has been shown to coat foliage near roads, influencing the acidity levels of the surficial soil layer and impacting the foliage distribution. To this end, field spectrometry was acquired at various distances from road ways. Satellite imagery from the Proba-1 CHRIS hyperspectral sensor and the multi-spectral Sentinel-2a system were also acquired of the region. This presentation presents the initial spectral analysis pursued to evaluate the potential to remotely spectrally detect waste rock dust material used in road construction in the surrounding tundra vegetation. Initial analysis of the Proba-1 CHRIS hyperspectral imagery shows spectral indicators of fugitive dust and waste rock easily detects the road and suggests detectable dust concentration above ambient up to a distance of under 1km from the road.
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