Relevant bibliographies by topics / Open pit mine design and planning

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Open pit mine design and planning'

Author: Grafiati
Published: 11 December 2022
Last updated: 26 January 2023

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Journal articles on the topic "Open pit mine design and planning"

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Freitas, Sandro, Benevides Aires, Giorgio de Tomi, and Richardson Agra. "Risk Management Incorporated to Life-of-Mine Planning at Sossego Copper Mine, Carajás, Brazil." Materials Science Forum 805 (September 2014): 263–71. http://dx.doi.org/10.4028/www.scientific.net/msf.805.263.

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Open pit mine design and production scheduling deals with the quest for most profitable mining sequence over the life of a mine. The dynamics of mining ore and waste, and spatial grade uncertainty make predictions of the optimal mining sequence a challenging task. Valuation and related decision-making in surface mining require the assessment and management of orebody risk in the generation of a pit design and long term production scheduling. As the most profitable mining sequence over de life of a mine determines both economic outcome of a project and the technical plan to be followed from mine development to mine closure, the adverse effects of orebody risk on performance is critical and are documented in various studies. Ignoring such a consequential source of risk and uncertainty may lead to unrealistic production plans. This paper presented a set of procedures that enable mine planning engineers to carry out a series of analysis, which can be used to evaluate the sensitivity of incremental pit shells and pit designs to grade uncertainty. The results obtained from the analysis have shown to provide valuable information, which can be used to develop mining strategies that are risk resilient in relation to grade uncertainty. A real life application at Sossego copper mine ensure that such procedures are technically implementable, supporting decision-making as (a) in-fill drilling programs; (b) review of mining sequence; (c) identification of areas of upside potential and downside risk and (d) ore blending between mining areas in order to minimize the impact of high risk areas. The goal of this work is to provide an approach for clear risk analysis and management in mine planning cycle to various aspects of pit optimisation and design, resulting in more technically and economically sustainable life-of-mine production plans and mineral reserve depletion.
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Yan, Xiao Ming, Zi Long Zhou, and Xi Bing Li. "Three-Dimensional Visual Modeling Technology and Application of Open Pit Mining Boundary." Advanced Materials Research 524-527 (May 2012): 790–93. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.790.

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With mining depth and state-wide expansion in open pit mining, it is necessary to bulid a three-dimensional visual model of open pit mining boundary, which can be used in the analysis of pit slope stability, engineering decisions, geological analysis and production planning. In this paper, a three-dimensionla visual model reflecting the complex formation load and terrain conditions was built by collecting original open pit design and geological data. With this model, stability analysis of open pit can be obtained and theoretical basis for selection of design can be provided. In the specific prcess of modelling, the original information in the existing CAD mining topographic maps were be used fully and the mine topographic maps was imported into Surpac mining software. Surface digital terrain model can be obtained elevation assignmented by corrction processing of CAD linears and vector processing of measring point data. On this basis, by using MIDAS software and considering the requirements of the scope of computational space, a three-dimensional model can be obtained through Boolean cut operations. With this model, the real surface shape of open pit mining boundary can be reflected.
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Singhal, Raj K. "Open pit mine planning and design; The chemistry and technology of coal; Canadian & American mines handbook." International Journal of Mining, Reclamation and Environment 28, no. 4 (July 4, 2014): 264–65. http://dx.doi.org/10.1080/17480930.2014.943535.

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Moldabayev, Serik, Bolatbek Rysbaiuly, Zhanat Sultanbekova, and Nurzhigit Sarybayev. "Methodological approach to creation of the 3D model of an oval-shaped open pit mine." E3S Web of Conferences 123 (2019): 01049. http://dx.doi.org/10.1051/e3sconf/201912301049.

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A 3D model of optimal contours phased development of oval-shaped open pit mines is proposed in the article. It is assumed that with enough accuracy the volumetric contour of the open pit mine is interpolated by an elongated elliptic hyperboloid. The calculation formulas for mineral resources are derived and optimal volumes of overburden are determined depending on the mining phase. In this case, the total number of mining phases is set in advance. The stripping ratio is used as a quality criterion of the optimization task. The problem of optimal control is solved using the Bellman function in dynamic programming. All the necessary calculation formulas are obtained in the final form by solving the optimization problem. Their simplicity and substantiation of each conclusion ensure that the results of this study can be successfully applied in practical calculations of the design and planning of mining operations in open pit mining.
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Torres, V. F. Navarro, R. Dockendorff, J. M. Girao Sotomayor, C. Castro, and A. F. Silva. "Probability of failure and factor of safety in the design of interramp angles in a large open iron ore mine." Journal of the Southern African Institute of Mining and Metallurgy 122, no. 7 (August 22, 2022): 1–14. http://dx.doi.org/10.17159/2411-9717/2025/2022.

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This paper shows the importance of performing probabilistic analyses in open pits, especially for mine planning, which can lead to more efficient ore extraction and meeting the acceptability criteria for safety in mine slopes. Three-dimensional stability analyses were performed to evaluate the future geometry of a large open pit for iron ore extraction in Brazil. The strength parameters of the lithologies were calibrated using ruptures in the pit walls. After determining the factors of safety (FoSs) from the calibrated parameters, probabilistic analyses were performed using the total range of values of each parameter under different field conditions to verify the reliability of the initial analysis. In this sense, it was possible to plot the probability of failure (PoF) and the FoS on the graph of slope height versus slope interramp angle (IRA) for the future pit in each lithology. IRA recommendations are made for two scenarios: (1) the best scenario: dry without ubiquitous joints and (2) the worst scenario: the water table at 10 m depth with ubiquitous joints in the most unfavourable direction. The results show that probabilistic evaluation is an important tool for establishing alert mechanisms in slopes that can be termed stable.
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Joshi, Devendra, Marwan Ali Albahar, Premkumar Chithaluru, Aman Singh, Arvind Yadav, and Yini Miro. "A Novel Approach to Integrating Uncertainty into a Push Re-Label Network Flow Algorithm for Pit Optimization." Mathematics 10, no. 24 (December 16, 2022): 4803. http://dx.doi.org/10.3390/math10244803.

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The standard optimization of open-pit mine design and production scheduling, which is impacted by a variety of factors, is an essential part of mining activities. The metal uncertainty, which is connected to supply uncertainty, is a crucial component in optimization. To address uncertainties regarding the economic value of mining blocks and the general problem of mine design optimization, a minimum-cut network flow algorithm is employed to give the optimal ultimate pit limits and pushback designs under uncertainty. A structure that is computationally effective and can manage the joint presentation and treatment of the economic values of mining blocks under various circumstances is created by the push re-label minimum-cut technique. In this study, the algorithm is put to the test using a copper deposit and shows similarities to other stochastic optimizers for mine planning that have already been created. Higher possibilities of reaching predicted production targets are created by the algorithm’s earlier selection of more certain blocks with blocks of high value. Results show that, in comparison to a conventional approach using the same algorithm, the cumulative metal output is larger when the uncertainty in the metal content is taken into consideration. There is also an additional 10% gain in net present value.
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Marković, Petar, Dejan Stevanović, Milica Pešić-Georgiadis, and Mirjana Banković. "Application of MCDA in the determination of optimal block size for open-pit modelling and mine planning." Podzemni radovi, no. 38 (2021): 67–85. http://dx.doi.org/10.5937/podrad2138067m.

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The process of creating a geological block model as the basis for a further detailed design and planning of mining operations is a very responsible task. Errors made during this initial process are transferred to all other phases of the mining project. Certainly, one of the most important decisions for the modelling process is the choice of the appropriate size of the blocks that form the model itself. The determination of the optimal block size is not a simple process, because it depends on a large number of affecting factors and criteria. This process can be significantly facilitated by the application of multi-criteria analysis methods, which enable establishment of interdependence between the criteria in order to select the optimal solution. This paper presents the possibilities of applying the Analytical Hierarchical Process (AHP) method for selecting the optimal block size for the needs of the coal deposit modelling process and mine planning, as well as the way in which this method can significantly facilitate problem solving, by looking at it from several aspects. The analysis included six criteria and four potential solutions, and the results themselves indicated the advantages and disadvantages of the applied method.
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Carrizo, Daniel, Carlos Barros, and German Velasquez. "The Arsenic Fault-Pathfinder: A Complementary Tool to Improve Structural Models in Mining." Minerals 8, no. 9 (August 21, 2018): 364. http://dx.doi.org/10.3390/min8090364.

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In a mining operation, the structural model is considered as a first-order data required for planning. During the start-up and in-depth expansion of an operation, whether the case is open-pit or underground, the structural model must be systematically updated because most common failure mechanisms of a rock mass are generally controlled by geological discontinuities. This update represents one of the main responsibilities for structural geologists and mine engineers. For that purpose, our study presents a geochemically-developed tool based on the tridimensional (3-D) distribution of arsenic concentrations, which have been quantified with a very high-density of blast-holes sampling points throughout an open pit operation. Our results show that the arsenic spatial distribution clearly denotes alignments that match with faults that were previously recognized by classical direct mapping techniques. Consequently, the 3-D arsenic distribution can be used to endorse the existence and even more the real persistence of structures as well as the cross-cutting relationships between faults. In conclusion, by linking the arsenic fault-pathfinder tool to direct on field fault mapping, it is possible to improve structural models at mine scale, focusing on geotechnical design and management, with a direct impact in the generation of safety mining activities.
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Daryono, Yuli, Mardiah Mardiah, and Janiar Pitulima. "Estimasi Kelayakan Penambangan Bijih Timah Blok Kemingking, Desa Kemingking, Kecamatan Sungai Selan PT Mitra Stania Prima." MINERAL 1, no. 1 (February 1, 2020): 1–8. http://dx.doi.org/10.33019/mineral.v1i1.1602.

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The mining industry is in need of a good planning so that the planned production targets can beachieved at minimum cost and revenue optimally, and can generate cash flow that will maximizerevenue each year over the life of the mine took place. Tin ore mining economic studies based onthe technical design data, so that the determination of the cost will be considered by the company.Components of the economic study of tin ore mining in terms of costing, revenue from the sale ofproducts, the calculation of cash flow, net present value, internal rate of return, payback period,sensitive analysis. Based on the results of studies on tin ore mine PT Mitra Stania Prima BlockKemingking acquired total reserves of tin ore amounted to 2.801,531 tons, by applying the method ofmining Open Pit Mining. From the economic feasibility calculations assuming the bank rate of 12%was obtained net present value of Rp 11.810.941.184.00, internal rate of return of 19.04%, and apayback period of 4.78 months for 2 years. Based on these results the project of PT Mitra StaniaPrima Block Kemingking feasible to continue.
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Hayley, Kevin, Alexis Valenza, Emma White, Bruce Hutchison, and Jens Schumacher. "Application of the Iterative Ensemble Smoother Method and Cloud Computing: A Groundwater Modeling Case Study." Water 11, no. 8 (August 9, 2019): 1649. http://dx.doi.org/10.3390/w11081649.

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Numerical groundwater modelling to support mining decisions is often challenging and time consuming. Simulation of open pit mining for model calibration or prediction requires models that include unsaturated flow, large magnitude hydraulic gradients and often require transient simulations with time varying material properties and boundary conditions. This combination of factors typically results in models with long simulation times and/or some level of numerical instability. In modelling practice, long run times and instability can result in reduced effort for predictive uncertainty analysis, and ultimately decrease the value of the decision-support modelling. This study presents an early application of the Iterative Ensemble Smoother (IES) method of calibration-constrained uncertainty analysis to a mining groundwater flow model. The challenges of mining models and uncertainty quantification were addressed using the IES method and facilitated by highly parallelized cloud computing. The project was an open pit mine in South Australia that required predictions of pit water levels and inflow rates to guide the design of a proposed pumped hydro energy storage system. The IES calibration successfully produced 150 model parameter realizations that acceptably reproduced groundwater observations. The flexibility of the IES method allowed for the inclusion of 1493 adjustable parameters and geostatistical realizations of hydraulic conductivity fields to be included in the analysis. Through the geostatistical realizations and IES analysis, alternative conceptual models of fractured rock aquifer orientation and connections could be conditioned to observation data and used for predictive uncertainty analysis. Importantly, the IES method out-performed finite difference methods when model simulations contained small magnitude numerical instabilities.
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Dissertations / Theses on the topic "Open pit mine design and planning"

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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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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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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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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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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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Albor, Consuegra Francisco. "Exploring stochastic optimization in open pit mine design." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=92379.

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Over recent years, new methods have been developed to integrate uncertainty into the optimization of life-of-mine (LOM) production planning. This thesis makes use of two stochastic optimization methods: simulated annealing (SA) and stochastic integer programming (SIP); which are implemented in the context of the requirements of mining applications through the use of stochastic simulation to model uncertainty. For the case of SA, the second chapter of the thesis documents the case of a copper deposit where ten simulated realizations are sufficient to provide stable LOM optimization results. In addition, the study shows that the selected true optimal pit limits are larger than the ones derived through conventional optimization. Stochastically optimized pit limits are found to be about 17% larger, in terms of total tonnage, than the conventional (deterministic) optimal pit limits. The difference adds one year of mining and approximately 10% of additional net present value (NPV) when compared to the NPV of conventional optimal pit limits and a production schedule generated stochastically with the same SA algorithm. In the third chapter of the thesis, the SIP based optimizer is used with the purpose of integrating uncertainty into the process of pushback design. Results show the sensitivity of the NPV to the design of starting and intermediate pushbacks, as well as the pushback design at the bottom of the pit. The new approach yielded an increment of ~30% in the NPV when compared to the conventional approach. The differences reported are due to the different scheduling patterns, the waste mining rate and an extension of the pit limits which yielded an extra ~5.5 thousand tonnes of metal.
Depuis quelques années, de nouvelles méthodes ont été développées pour intégrer l'incertitude dans l'optimisation de la planification de la production de la vie-de-mine i.e. life-of-mine (LOM). Cette thèse se sert de deux méthodes d'optimisation stochastique : recuit simulé (RS) et programmation en nombres entiers stochastique (SIP); les deux méthodes sont programmées dans le cadre des besoins des applications d'exploitation de la simulation stochastique et modélisation d'incertitude. Pour le cas de RS, le deuxième chapitre de la thèse décris le cas d'un dépôt de cuivre où dix réalisations simulées sont suffisantes pour fournir des résultats stables d'optimisation de LOM. En outre, l'étude prouve que les véritables limites optimales choisies de mine sont plus grandes que celles dérivées par l'optimisation conventionnelle. Des limites stochastiquement optimisées de mine s'avèrent environ 17% plus grandes, en termes de tonnage total, que les limites optimales (déterministes) conventionnelles de mine. La différence ajoute un an d'exploitation et approximativement 10% de valeur nette additionnel (NPV) une fois comparée au NPV des limites optimales conventionnelles de mine et une cédule de production produit stochastiquement avec le même algorithme de RS. Dans le troisième chapitre de la thèse, l'optimiseur basé sur SIP est utilisé en vue d'intégration de l'inceritude dans le processus de la conception de fosses emboîtées. Les résultats montrent la sensibilité du NPV à la conception de fosses emboîtées de commencement et intermédiaires aussi bien que la conception de la fosse emboîtée du fond de la mine. La nouvelle approche a produit une augmentation de ~30% dans le NPV une fois comparée à l'approche conventionnelle. Les différences rapportées sont dues aux différents cédules de production, du taux de décapage du stérile et d'une extension des limites de la mine qui ont produit ~5.5 mille tonnes supplémentaires
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Onur, Ahmet Hakan. "Optimal open pit design and planning." Thesis, University of Leeds, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305650.

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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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Books on the topic "Open pit mine design and planning"

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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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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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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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Hustrulid, W. A. Open pit mine planning and design. 2nd ed. Balkema, 1995.

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Kuchta, Mark, and W. Hustrulid. Open Pit Mine Planning and Design. Taylor & Francis Ltd, 2006.

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Open Pit Mine Planning and Design. 2nd ed. Taylor & Francis Ltd, 2006.

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Open Pit Mine Planning and Design. 2nd ed. Taylor & Francis Ltd, 2006.

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Book chapters on the topic "Open pit mine design and planning"

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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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Jalloh, Abu Bakarr, and Kyuro Sasaki. "Geo-statistical Simulation for Open Pit Design Optimization and Mine Economic Analysis in Decision-Making." In Mine Planning and Equipment Selection, 93–103. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_10.

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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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Cavers, D. S., G. J. Baldwin, T. Hannah, and Raj K. Singhal. "Design methods for open pit coal mine footwalls." In Geotechnical Stability in Surface Mining, 79–86. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003079286-11.

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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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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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Conference papers on the topic "Open pit mine design and planning"

1

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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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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McInnes, Doug, Chris Haberfield, Phil de Graaf, and Craig Colley. "Mine design for below water table clay detritals mining: Marandoo Mine, Western Australia." 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_78_degraaf.

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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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Chang, Guiping, Ming Zhu, Rui Tang, Zhiyun Tian, Lixin Ai, Jihuan Peng, Lianguang Ning, and Lei Wang. "Optimal Design for High and Steep Slope Angle of Open-pit Mine." In 2010 Third International Conference on Information and Computing Science (ICIC). IEEE, 2010. http://dx.doi.org/10.1109/icic.2010.91.

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Ginting, Arjuna, and Nicholas Pascoe. "Grasberg open pit to Grasberg block cave transition wetmuck and mine design." In MassMin 2020: Eighth International Conference & Exhibition on Mass Mining. University of Chile, Santiago, 2020. http://dx.doi.org/10.36487/acg_repo/2063_22.

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Grenon, Martin, John Hadjigeorgiou, and P. Côté. "Slope Stability Considerations in Integrated Surface Mine Design." In 2007 International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2007. http://dx.doi.org/10.36487/acg_repo/708_3.

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Marklund, Per-Ivar, Jonny Sjöberg, F. Ouchterlony, and N. Nilsson. "Improved Blasting and Bench Slope Design at the Aitik Mine." In 2007 International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2007. http://dx.doi.org/10.36487/acg_repo/708_16.

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Lei, Jin-Sheng, Da-Peng Zhu, Hui Peng, and Yue Li. "Optimal Design of Waste-Dump Slope of Open Pit Mine Based on Strength Reduction FEM." In GeoShanghai International Conference 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41105(378)3.

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Reports on the topic "Open pit mine design and planning"

1

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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