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Author: Peter A. Nesbitt
Publisher:
ISBN:
Category : Integer programming
Languages : en
Pages : 105
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Book Description
Author: Peter A. Nesbitt
Publisher:
ISBN:
Category : Integer programming
Languages : en
Pages : 105
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Book Description
Author: Christoph Mueller
Publisher: CRC Press
ISBN: 1000439062
Category : Technology & Engineering
Languages : en
Pages : 782
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Book Description
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.
Author: Andres Weintraub
Publisher: Springer Science & Business Media
ISBN: 038771815X
Category : Science
Languages : en
Pages : 608
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Book Description
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.
Author: Yuksel Asli Sari
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
"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." --
Author: Akshay A Chowdu
Publisher:
ISBN:
Category : Mining engineering
Languages : en
Pages : 314
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Book Description
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.
Author: Roussos Dimitrakopoulos
Publisher: Springer
ISBN: 3319693204
Category : Science
Languages : en
Pages : 784
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Book Description
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.
Author: Matheus Furtado E. Faria
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
"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"--
Author: Virginia Polytechnic Institute and State University. Department of Mining and Minerals Engineering
Publisher:
ISBN:
Category : Coal mines and mining
Languages : en
Pages : 442
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Book Description
Author: Roussos Dimitrakopoulos
Publisher: Springer
ISBN: 9781402044120
Category : Science
Languages : en
Pages : 325
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Book Description
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.
Author: Martin L. Smith
Publisher: CRC Press
ISBN: 9780415665780
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
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.
