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Book The Optimization of Mine Planning Aspects Under Uncertainty

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." --

Book Advances in Applied Strategic Mine Planning

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.

Book Ore Reserve Estimation and Strategic Mine Planning

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.

Book Long term Mine Planning in Presence of Grade Uncertainty

Download or read book Long term Mine Planning in Presence of Grade Uncertainty written by Behrang Koushavand and published by . This book was released on 2014 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Open-pit mining is widely used to extract natural resources. Low cut-off grades and large operations can make open-pit mining profitable. An important challenge is to determine the optimum production schedule. Usually the goal is to maximize the net present value of the project while delivering ore to the plant at full capacity. The best production plan would require complete knowledge of the orebody and all other engineering and economic parameters. An estimated block model is often used to determine the production schedule. Uncertainty is inevitable with widely spaced drill holes. The open-pit production schedule based on estimated models may be suboptimal and affected dramatically by grade uncertainty. The research documented herein develops, implements and verifies four mixed integer optimization frameworks for long-term production scheduling in the presence of grade uncertainty. The main contributions of this research are (1) consideration of cost of grade uncertainty to influence the production plan, (2) accounting for the linear and nonlinear effects of the grade uncertainty on the long-term mine planning, (3) development of a mixed integer linear programming model that maximizes NPV and minimizes the cost of the grade uncertainty by considering a stockpile, and finally (4) implementation of a quadratic optimization model accounts for grade uncertainty in the long-term production plan.

Book Mine Planning and Equipment Selection

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.

Book Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection   MPES 2018

Download or read book Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection MPES 2018 written by Eleonora Widzyk-Capehart and published by Springer. This book was released on 2019-02-21 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents research papers discussing the latest developments and findings in the fields of mining, machinery, automation and environmental protection. It includes contributions from authors from over 20 countries, with backgrounds in computer science, mining engineering, technology and management, and hailing from the government, industry and academia. It is of interest to scientists, engineers, consultants and government staff who are responsible for the development and implementation of innovative approaches, techniques and technologies in the mineral industries. Covering the latest advances in fundamental research, it also appeals to academic researchers.

Book The Stochastic Optimization of Long and Short term Mine Production Schedules Incorporating Uncertainty in Geology and Equipment Performance

Download or read book The Stochastic Optimization of Long and Short term Mine Production Schedules Incorporating Uncertainty in Geology and Equipment Performance written by Matthew Quigley and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mine production scheduling consists of defining the extraction sequence and process allocation of mineralized material over some length of time. These decisions can be made at different time steps, which will entail varying objectives subject to different technical and operational constraints. Long-term mine production scheduling usually takes place at an annual scale for the entire life of mine and aims to maximize the net present value of the project while satisfying the mining and processing capacities. Short-term mine production scheduling consists of developing an extraction sequence on a shorter time scale, either months, weeks, or days. The goal is typically to maximize compliance with the production targets imposed by the long-term plan while considering more detailed operational constraints. Historically, these optimization frameworks have relied on the assumption of perfect knowledge of highly uncertain inputs. Developments in the field of stochastic mine planning have shown that incorporating uncertainty into the optimization of mine production schedules can add significant economic value while also minimizing the risk of deviating from production targets. This thesis will explore the benefits that stochastic mine planning can offer when applied to both long and short-term production scheduling problems.For the first exercise, the long-term mine production schedule of a rare earth element (REE) project is generated under geological uncertainty using a stochastic optimization framework. The uncertainty in REE grades is modelled using an efficient joint-simulation technique to preserve the strong cross-element relationships. The proposed approach avoids the use of the conventional total rare earth oxide grade. The stochastic long-term schedule is benchmarked against a deterministic schedule generated using an industry standard optimizer. The stochastic solution generates a 20% increase in expected NPV, ensures better utilization of the processing plant, and delivers a superior ore feed in terms of satisfying mineral and REE blending targets.For the second exercise, a formulation is proposed that simultaneously optimizes the short-term equipment plan and production schedule under both geological and equipment performance uncertainty. The proposed approach rectifies certain limitations of previous work in stochastic short-term planning by: incorporating a location-dependant shovel movement optimization; generating more realistic equipment performance scenarios; developing a new approach to facilitate more practical mine designs; and proposing model improvements to allow for a more efficient optimization of very large problem instances. The model is applied to a large copper mining complex and is compared to a more traditional approach, where the same formulation is implemented using averaged inputs for geology and equipment performance. The stochastic solution is more effective in mitigating the risk of deviating from tonnage targets at each processing destination, and the integration of equipment performance variability allows the stochastic optimizer to generate a block extraction sequence that is far more likely to be achieved." --

Book Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection   MPES 2019

Download or read book Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection MPES 2019 written by Erkan Topal and published by Springer Nature. This book was released on 2019-11-29 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceedings presents the research papers in the field of mine planning and mining equipment including themes such as mine automation, rock mechanics, drilling, blasting, tunnelling and excavation engineering. The papers presents the recent advancement and the application of a range of technologies in the field of mining industry. It is of interest to the professionals who practice in mineral industry including but not limited to engineers, consultants, managers, academics, scientist, and government staff.

Book Stochastic Mining Supply Chain Optimization

Download or read book Stochastic Mining Supply Chain Optimization written by Iain Farmer and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The mining value chain comprises many inter-related components. When the individual components are optimized separately the value that can be generated from the enterprise suffers. Global optimization of the mining value chain requires a shift away from conventional methods of optimization and towards the simultaneous optimization of all related aspects, including: the mine's extraction sequence, material destination decisions, material transport decisions, and equipment capacities. Further, if these decisions are to be robust, they must be made while considering sources of uncertainty. The contributions included in this thesis are meant to help industry practitioners plan and evaluate mining projects under uncertainty. Specifically, the simultaneous integration of capacity decisions in long-term scheduling is meant to provide a tool that generates a NPV-optimal mine sequence and destination policy that is also synchronized with equipment capacities selected while being robust to two sources of uncertainty. Further, a schedule-based method of pushback design is developed in an effort to construct pushbacks from an optimal mine sequence. The method is applied in order to preserve as much of the sequence's optimality as possible while generating an operational mine plan." --

Book Hyper heuristic Approaches for Strategic Mine Planning Under Uncertainty

Download or read book Hyper heuristic Approaches for Strategic Mine Planning Under Uncertainty written by Amina Lamghari and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Time Planning Under Uncertainty in a Mining Environment

Download or read book Time Planning Under Uncertainty in a Mining Environment written by Torgny Almgren and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Orebody Modelling and Strategic Mine Planning

Download or read book Orebody Modelling and Strategic Mine Planning written by Roussos Dimitrakopoulos and published by . This book was released on 2007 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Geostatistics for the Next Century

Download or read book Geostatistics for the Next Century written by Roussos Dimitrakopoulos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: To honour the remarkable contribution of Michel David in the inception, establishment and development of Geostatistics, and to promote the essence of his work, an international Forum entitled Geostatistics for the Next Century was convened in Montreal in June 1993. In order to enhance communication and stimulate geostatistical innovation, research and development, the Forum brought together world leading researchers and practitioners from five continents, who discussed-debated current problems, new technologies and futuristic ideas. This volume contains selected peer-reviewed papers from the Forum, together with comments by participants and replies by authors. Although difficult to capture the spontaneity and range of a debate, comments and replies should further assist in the promotion of ideas, dialogue and criticism, and are consistent with the spirit of the Forum. The contents of this volume are organized following the Forum's thematic sessions. The role of theme sessions was not only to stress important topics of tOday but in addition, to emphasize common ground held among diverse areas of geostatistical work and the need to strengthen communication between these areas. For this reason, any given section of this book may include papers from theory to applications, in mining, petroleum, environment, geohydrology, image processing.

Book EVALUATING GEOMECHANICAL UNCERTAINTY IN OPEN PIT MINE PLANNING

Download or read book EVALUATING GEOMECHANICAL UNCERTAINTY IN OPEN PIT MINE PLANNING written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : Open pit mine planning encompasses a variety of uncertainties. Uncertainty due to geomechanics is most critical for a safe operation in an open pit mine. Without sufficient knowledge of the geomechanical properties of the subsurface, a reliability analysis of the slope stability could be challenging. Slope stability is a crucial step in pit optimization since the cash flow analysis of a mine is constrained by a stable slope angle. However, obtaining a stable slope angle with certainty is difficult to achieve as geomechanical parameters are modeled using a very limited number of samples. This thesis proposes a method to integrate geomechanical uncertainty, specifically uncertainty regarding slope stability, in pit optimization through reliability-based analysis. This research explores gold deposit data received from exploration drilling in Alaska, with potential to build an open pit mine. The gold grade was estimated by ordinary kriging (OK) using exploration drilling data. Rock Quality Designation (RQD) is the only geomechanical data available from this deposit, and it was used to calculate cohesion, angle of internal friction, and unit weights of the rock. The uncertainty of the RQD was quantified for each rock type of the deposit. The probability density function (PDF) of RQD for each rock type was fitted using log-normal distribution. The uncertainty-based slope stability analysis was carried out using the limit equilibrium method. The reliability and failure probability of the different slope angles were calculated, and the maximum slope angle with 100% reliability is 50°. The cash flow for each slope angle was identified and assessed along with the probability of failure for three different factor of safety values. The results showed that the steeper the slope angle used, the more profit would be generated, but the probability of failure increased. In contrast, using shallower slopes did not generate as much profit, but the probability of failure was lower. A threshold slope angle of 51.5° was determined to be the highest angle that can be utilized without the probability of failure outweighing the profit generated.

Book Mining goes Digital

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.

Book Mine Plan Optimisation

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.

Book Identification and Control

    Book Details:
  • Author : Ricardo S. Sánchez-Peña
  • Publisher : Springer Science & Business Media
  • Release : 2007-06-28
  • ISBN : 1846288991
  • Pages : 330 pages

Download or read book Identification and Control written by Ricardo S. Sánchez-Peña and published by Springer Science & Business Media. This book was released on 2007-06-28 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book meets head-on the difficulty of making practical use of new systems theory, presenting a selection of varied applications together with relevant theory. It shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory; the description of a particular application; experimental results; and a section highlighting, explaining and laying out solutions to the discrepancy between the theoretical and the practical.