Download or read book Optimization based Procedures for Underground Mine Planning written by Peter A. Nesbitt and published by . This book was released on 2020 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mining goes Digital written by Christoph Mueller and published by CRC Press. This book was released on 2019-05-22 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.
Download or read book Handbook of Operations Research in Natural Resources written by Andres Weintraub and published by Springer Science & Business Media. This book was released on 2007-09-19 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book covers these areas with contributions from researchers on, among others, modeling natural research problems, quantifying data, and developing algorithms.
Download or read book Novel Optimization Models for Surface and Underground Mine Planning written by Yuksel Asli Sari and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mine planning and optimization affect efficiency, profitability and productivity of operations significantly. Low commodity prices, high resource degredation maintenance costs and high fixed infrastructure costs necessitate the use of optimal decision making tools for mining companies to make profit. All mines have different characteristics and planning phases. In this research, different optimization problems that suit various mining techniques and planning stages are studied. In essential, there are two types of mining: surface mining and underground mining. Surface mining operations are generally long-term because overburden must be removed to access the profitable orebody. This requires strategic long-term planning at the feasibility stage. The first publication in the scope of this research focuses on long-term surface mine planning with environmental considerations. The provided solution optimizes the problem using mixed integer linear programming (MILP). When operation starts and bench sectors are mined on a daily basis, the need for short term planning arises. The second publication addresses the dig-limit optimization problem, which is an important part of short-term planning. With the proposed MILP optimization method, the ore-waste boundaries are delineated with the equipment size constraints. Although underground mining also starts with exploration and resource estimation/simulation stages, the problems that need to be addressed are very different from surface mining techniques and it has its own unique challenges. Special focus is given to the sublevel stoping underground mining technique. Stope optimization is a complex problem, comprised of two sub-problems: stope layout optimization and stope sequencing. MILP formulations of stope layout optimization are impractical because of the large size of the problem. In the third and fourth manuscripts, two different heuristic stope layout optimization algorithms are presented where the former uses a clustering heuristic to identify stopes with high grade concentration and the latter uses a greedy heuristic based on dynamic programming to solve the sub-problems and explore the promising stope combinations. Fifth manuscript tailors the greedy heuristic algorithm to poly-metallic mines with pillars. Both heuristic approaches are shown to be near-optimal through comparing with developed novel MILP formulations case studies in smaller problem instances. When the stope layout is finalized, the sequence can be optimized to yield the optimal project value. In the sixth and final manuscript within the scope of this research, the stope sequencing problem is formulated in MILP. To account for risk emerging from geological uncertainties, chance constrained programming is implemented. This approach maximizes the expected net present value of the operation while minimizing the deviations from the expected value due to ore grade uncertainty. It focuses the search on a unique direction based on the specified desired project risk level." --
Download or read book Advances in Applied Strategic Mine Planning written by Roussos Dimitrakopoulos and published by Springer. This book was released on 2018-01-17 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of papers on topics in the field of strategic mine planning, including orebody modeling, mine-planning optimization and the optimization of mining complexes. Elaborating on the state of the art in the field, it describes the latest technologies and related research as well as the applications of a range of related technologies in diverse industrial contexts.
Download or read book Stochastic Optimization of Stope Design and Long term Underground Mining Production Scheduling for Sublevel Open Stoping Mining Operations written by Matheus Furtado E. Faria and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Underground mine planning defines the design of technically producible economic material volumes and development openings, the sequence of multiple underground activities, and the material destinations within a mineral deposit throughout the mine's life, aiming to maximize the net present value (NPV). Due to the existence of different mining methods and the inherent operational and computational complexities, this planning is commonly performed through a stepwise optimization process in which the stope layout is preliminarily designed. Subsequently, the network of developments interconnecting the production areas is conceived, defining the precedence of underground mining activities. Finally, the strategic underground mine production scheduling is optimized, the only step that accounts for the time value of money. Available optimization methods have been focused separately on each of the planning steps, which do not benefit from the synergies between the planning steps. Additionally, most of the previously mentioned methods are deterministic; that is, they neglect many sources of uncertainty, which has been extensively demonstrated to have a significant impact on the profitability and feasibility of mining operations. Therefore, this thesis proposes stochastic optimization methods for underground mines by employing a sublevel open stoping mining method and ultimately attempts to integrate the mine design and production scheduling into a single optimization framework. The first part of this thesis presents a stochastic optimization method of stope design along with the commonly used sequential underground mine planning framework. A set of geostatistical simulations is used to quantify the variability and uncertainty of grades within the mineral deposit. The proposed method aims to maximize the undiscounted profit while capitalizing on the upside potential in terms of recoverable metal of the generated stope layout. It also accounts for the development costs of potential production levels and stopes. The application of this stochastic approach at an underground gold mine achieved a 40% higher undiscounted profit and 21% recoverable metal when benchmarked against an industry-standard deterministic stope design software tool. The second part of this thesis presents an integrated stochastic optimization of stope design and long-term underground mine production scheduling by integrating time-dependent development costs and production targets. The mathematical model seeks to maximize the NPV from the scheduled stopes, as well as to minimize the shaft, drifts and crosscuts development costs and maintenance costs to keep the levels in operation while managing the risk of failing to meet yearly productions targets. Therefore, an optimal underground mine design is yielded as an output from the optimized production schedule. The method also opens new avenues to account for time-dependent sources of uncertainty that cannot be incorporated into the stope design optimization in the sequential underground mine planning framework. A case study at an underground gold mine demonstrates that the proposed method generates more selective stopes and physically different production levels, which correspond to an 11% higher NPV and a shorter life-of-mine by two years, as compared to the sequential optimization framework"--
Download or read book Operations Research Applications in Underground Mine Production Scheduling written by Akshay A Chowdu and published by . This book was released on 2020 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mine planning is a multi-disciplinary process that guides decision-making at all stages of the mining operation. Owing to inherent uncertainty, the planning process relies on engineering estimates and is iterative in nature. Mining operations utilize a variety of operations research-based applications to improve decision-making capabilities across all levels of planning. The intent of this work is to review past applications in the field of underground metalliferrous mine planning, modify existing optimization procedures to create more realistic long-term production schedules, and propose a new mathematical formulation for optimizing short-term schedules. In the past decade, better solution algorithms, improvedmodeling techniques, and availability of cheap computational power have driven greater research interest in the area of long-term decision-making analysis regarding underground mining method selection, cutoff grade, mine layout, open pit-underground transition, and equipment selection. Production schedule optimization has also seen significant advances with a number of researchers utilizing a Resource Constrained Project Scheduling Problem-based approach to create long-term schedules.
Download or read book Optimization of Underground Mining written by Virginia Polytechnic Institute and State University. Department of Mining and Minerals Engineering and published by . This book was released on 1964* with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ore Reserve Estimation and Strategic Mine Planning written by Roussos Dimitrakopoulos and published by Springer. This book was released on 2015-11-15 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mining business faces continual risks in producing metals and raw materials under fluctuating market demand. At the same time, the greatest uncertainty driving the risk and profitability of mining investments is the geological variability of mineral deposits. This supply uncertainty affects the prediction of economic value from the initial valuation of a mining project through mine planning, design and production scheduling. This book is the first of its kind, presenting state-of-the-art stochastic simulation and optimization techniques and step-by-step case studies. Quantification of geological uncertainty through new efficient conditional simulation techniques for large deposits, integration of uncertainty to stochastic optimization formulations for design and production scheduling and the concurrent management of risk are shown to create flexibility, options and oportunities, increase asset value, cashflows and return on investment. New approaches introduced include resource/reserve risk quantification, cost-effective drilling programs, pit design and long-term production scheduling optimization with simulated orebodies, ore reserve classification, geologic risk discounting, waste managing and demand driven scheduling, risk assessment in meeting project production schedules ahead of mining, risk based optimal stope design, options valuation when mining. Applications include commodities such as gold, copper, nickel, iron ore, coal and diamonds.
Download or read book Mine Plan Optimisation written by Martin L. Smith and published by CRC Press. This book was released on 2015-12-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a range of tools for optimization in the mineral industry, including examples with mathematical programming. Topics covered include a survey of the application of optimisation technologies; a review of optimisation algorithms with math programming, math modelling and an introduction to AMPL (a widely used math modelling language), applications of linear programming to business improvement studies, surface mining applications, underground mining applications and options analysis. The math programming and AMPL is supported by the www.ampl.coma and by the author’s site, www.minesmith.com.au. This volume is intended for course use and was developed for 3rd and 4th year university education in mine planning and design or mine optimisation. Engineers, planners and policy makers in the minerals industry may find it beneficial for their professional activities as well.
Download or read book A Novel Stope Layout Optimization Based on Robust Genetic Algorithms written by Martha Villalba Matamoros and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The underground mine planning process includes the evaluation of highly interdependent activities through optimization, which maximizes the net present value of a mining project. However, optimization is challenged by complexities introduced through the orebody deposits, geotechnical constraints, selective mining, and multiple mining methods. Also, underground mining operations are managed within the context of complex environmental, operational, and economic considerations (e.g., operation costs increase as mines go deeper, commodity price fluctuates over time, and there is a lack of optimization tools available). Based on these limitations, effective mine planning has the strong potential to improve operation performance, profitability, and productivity. This thesis proposes a heuristic stope layout formulation that moves beyond current optimization approaches by considering minimization of inherent internal dilution. The proposed formulation can also deal with multiple sectors and variable stope dimensions. Application of the technique to gold deposits showed that a profitable stope layout with minimum internal dilution could be generated while respecting geotechnical and operational requirements. Also, proposes a three-step stochastic optimization model combined with GAs to account for grade uncertainty and improve the heuristic algorithm efficiency. The first step computes the stope layout uncertainty, the second step creates an average design where feasibility evaluation breeds the initial population, and the third step uses GAs to improve this initial population over generations. This account for operational considerations whereby multiple orientations in the stope layout optimization are assessed, which avoids the cost of mining in the wrong direction. A case study in narrow gold vein deposit shows that the profit of an underground mining operation could be underestimated by 25-48% if the algorithm chooses the wrong stope layout orientation. Furthermore, this thesis proposes an approach based on the design of experiments to calibrate GA parameters such that the objective function is maximized/minimized and relative importance of the parameters is quantified. The proposed approach makes GA implementation robust. Applying the approach to the stope optimization problem of an underground mine--whose profit fluctuates ±7% only due to GA parameters--showed that (1) a larger population size does not always imply a longer solving-time, (2) the solving-time increases as the crossover and mutation rate increases, and (3) analyzing profit and solving-time as simultaneous responses illustrates the trade-off of acceptable computing time and profit desirability through GA parameter selection. This novel approach generates higher profit, less planned dilution, and a robust stope layout that is insensitive to orebody grade fluctuations and directions." --
Download or read book Short and Medium term Optimization of Underground Mine Planning Using Constraints Programming written by Louis-Pierre Campeau and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Underground Mine Planning Optimization Tools to a Narrow vein Mine written by Alberto Ramos San Miguel and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization tools for underground mines have seen significant technological advances over the last 15 years. Complete solutions for optimizing the underground mine planning process, comparable to what is currently available for open-pit mining (Lerchs-Grossmann and Pseudoflow algorithms), are not yet available. Yet, mine planning software vendors have recently implemented optimization tools specifically for underground mining that, in combination, provide a process that reduces planning time and increases the net present value of an underground mine. This project introduces a new method termed the Stope Pseudoflow-Selection. This process combines commercially available mine planning design software tools, i.e., Deswik, to optimize underground mines. The tools consist of algorithms and heuristics that are used to create stope shapes (the Stope Optimizer), determine the location of lateral development to access the stopes (Underground Network Optimization tool), and evaluate the mine design limits (Pseudoflow algorithm). The Pseudoflow algorithm, in this application, denotes the mine design layouts that allow engineers to choose the stope and lateral development infrastructure designs that maximize a project’s net present value. This research presents a polymetallic, underground mining project characterized as a narrow-vein mineral deposit that uses long-hole stoping mining methods. The results after integrating the proposed Stope Pseudoflow Selection process into the mine design and scheduling activities maximizes the project’s net present value by 20% and reduces the overall time to create the strategic mine plan by 41%, when compared to manual design methods.
Download or read book Optimization of Underground Mining written by Virginia Polytechnic Institute. Department of Mining Engineering and published by . This book was released on 1964 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Optimization of Mine Planning Aspects Under Uncertainty written by Rein Dirkx and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mining operations typically face critical operational decisions based on uncertain information. This uncertainty is inherent to the mining process and cannot be overcome, as materials have to be extracted from underground, which can never be fully explored. This thesis addresses two pertinent aspects of many mining operations while directly incorporating this inherent uncertainty into the optimization. The uncertainty is used to our advantage by minimizing the resulting downside risk while maximizing the upside potential. The first aspect, addressed in Chapter 2, is the optimization of infill drilling schemes, a decision faced by every single mining operation on various scales. The second aspect, addressed in Chapter 3, focuses on the stochastic optimization of a production schedule of a block caving operation, a popular mass mining alternative to open pit mines. The optimization of infill drilling is based on a multi-armed bandit (MAB) framework. The novelty of this approach is the application of an advanced machine learning method like MAB to find an elegant solution to the infill drilling problem. The method is applied to a case study of a gold mining complex. The main issue in this mining complex is the uncertainty in their long-term, multi-element stockpiles on which the infill drilling optimization is performed. Stockpiles are often very variable, but their uncertainty can be quantified using conventional stochastic orebody modelling. Although the infill drilling optimization is applied to a stockpile, the proposed method is more general and can be applied to any deposit. The approach proposed in Chapter 3 is the first stochastic optimization approach for scheduling a block cave mine that explicitly includes grade and hang-up uncertainty into the optimization. Hang-up uncertainty is defined as the uncertainty related to ore that clogs the draw points due to aberrant fracturing. The grade uncertainty is incorporated via stochastic orebody simulations, similar to what has been employed for open pit operations in the past, while hang-up uncertainty, the main contribution of this work, is incorporated by tracking and minimizing the delays caused by hang-ups over multiple scenarios. The results of the case study show a reduction of the annual overtime incurred due to delays of 95 % when the hang-up uncertainty is included in the optimization compared to when hang-ups are ignored." --
Download or read book Mine Planning and Equipment Selection 1996 written by L.A. Ayres de Silva and published by CRC Press. This book was released on 1996-01-01 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of 125 papers on mine planning and selection of equipment, covering such topics as: design and planning of surface and undergroung mines; planning and equipment selection for difficult mining conditions; equipment selection procedures; and mine and equipment information systems.
Download or read book Mine Planning and Equipment Selection written by Carsten Drebenstedt and published by Springer Science & Business Media. This book was released on 2013-10-16 with total page 1464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume includes all papers presented at the 22nd International Conference on Mine Planning and Equipment Selection (MPES), Dresden, Germany, 2013. Mineral Resources are needed for almost all processes of modern life, whilst the mining industry is facing strict requirements regarding efficiency and sustainability. The research papers in this volume deal with the latest developments and research results in the fields of mining, machinery, automatization and environment protection.
