Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Surface Constrained Mine Production Scheduling With Uncertain Geology full books in PDF, epub, and Kindle. Read online Surface Constrained Mine Production Scheduling With Uncertain Geology ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Alexandre Marinho
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (937 download)
Download or read book Surface Constrained Mine Production Scheduling with Uncertain Geology written by Alexandre Marinho and published by . This book was released on 2013 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alexandre Marinho de Almeida
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (922 download)
Download or read book Surface Constrained Stochastic Life-of-mine Production Scheduling written by Alexandre Marinho de Almeida and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The maximization of mining project discounted cash flows by defining the best sequence of extraction of underground materials requires understanding the availability of uncertain metal quantities throughout the deposit. This thesis proposes two versions of a stochastic integer programming formulation based on surfaces to address the optimization of life-of-mine production scheduling, whereby the supply of metal is uncertain and described by a set of equally probable simulated orebody models. The first version of the proposed formulation maximizes discounted cash flows, controls risk of deviating from production targets and is implemented sequentially, facilitating production scheduling for relatively large mineral deposits. Applications show practical intricacies and computational efficiency. The second variant extends the first to a two-stage stochastic integer programming formulation that manages the risk of deviating from production targets. The sequential implementation is considered first for pit space discretization and it is followed by the life-of-mine production scheduling at a relatively large gold deposit. The case studies show the computational efficiency and suitability of the method for realistic size mineral deposits, with production targets controlled, risk postponed to later stages of production and improvements in expected NPV, when compared to deterministic industry practices." --
Author : Matthew Quigley
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (979 download)
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." --
Author : Alexandre Marinho
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (937 download)
Download or read book Two-stage Stochastic Surface Constrained Mine Production Scheduling with Pit Discretization written by Alexandre Marinho and published by . This book was released on 2014 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book RISK CONTROL IN PRODUCTION SCHEDULING BY CONSIDERING VOLUME AND GRADE UNCERTAINTIES IN RESOURCE ESTIMATION written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : Mineral deposits are the main assets for the mining industry. Mineral deposits are estimated based on the findings of exploration drilling. Complex host geology with variable grades and geological controls increases difficulty in resource estimation. In these situations, volume (tonnage) and grade are often over- or underestimated, resulting in inaccurate mine plan that leads to costly financial decisions. In this study, a multiple-point geostatistical method, namely Single Normal Equation Simulation (SNESIM) was applied to generate equiprobable orebody models for a copper deposit from Africa that helps to analyze the uncertainty of ore tonnage of the deposit. The grade uncertainty was evaluated by generating multiple realization of grade models using sequential Gaussian simulation within each equiprobable orebody models. The results are validated by generating the marginal distribution, and two- and three-point statistics. In addition, a comparative study is performed for the deterministic version, the stochastic version with grade uncertainty, and the stochastic version with volume and grade uncertainty. The results show that the orebody model with the maximum volume is 4.8% more than the average volume and the minimum volume is 5.1% less than the average volume. The grade simulation results demonstrate that the average grade for all simulations is 3.89%, but average grade for different simulations varied from 3.6% to 4.1%. The results also show that the volume and grade uncertainty model overestimated the orebody volume compared to the conventional orebody volume. The long-term production schedule is generated taking into account the volume and grade uncertainties from the orebody models, and satisfying mine production capacity and xi processing capacity constraints. The production schedule results for the volume and grade uncertainty-based model are compared to the production schedule generated from deterministic orebody model, and grade uncertainty-based model. The results demonstrated that the incorporation of both the volume and grade uncertainty significantly reduces the risk of deviation from the target. The results also show that incorporation of volume and grade uncertainty increases the net present value (NPV) of mining project, when compared to the mine plan generated from the deterministic model and stochastic model with only grade uncertainty. The results show that the production schedule generates high revenue over wide range of initial assumptions and the expected NPV is 3% higher than the deterministic version. A sensitivity analysis was also performed to understand the effect of penalty factor for deviating the constraints.
Author : Roussos Dimitrakopoulos
Publisher : Springer
ISBN 13 : 3319693204
Total Pages : 784 pages
Book Rating : 4.3/5 (196 download)
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.
Author : Roussos Dimitrakopoulos
Publisher : Springer
ISBN 13 : 9781402044120
Total Pages : 325 pages
Book Rating : 4.0/5 (441 download)
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.
Author : Ady A. D. Van-Dúnem
Publisher :
ISBN 13 :
Total Pages : 195 pages
Book Rating : 4.:/5 (969 download)
Download or read book Open-pit Mine Production Scheduling Under Grade Uncertainty written by Ady A. D. Van-Dúnem and published by . This book was released on 2016 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Arja Jogita Jewbali
Publisher :
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.:/5 (166 download)
Download or read book Modelling Geological Uncertainty for Stochastic Short-term Production Scheduling in Open Pit Metal Mines written by Arja Jogita Jewbali and published by . This book was released on 2006 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ali Soofastaei
Publisher : Springer Nature
ISBN 13 : 3030915891
Total Pages : 746 pages
Book Rating : 4.0/5 (39 download)
Download or read book Advanced Analytics in Mining Engineering written by Ali Soofastaei and published by Springer Nature. This book was released on 2022-02-23 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Author : Martha Villalba Matamoros
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (911 download)
Download or read book Stochastic Short-term Production Scheduling Accounting for Fleet Allocation, Operational Considerations, Blending Restrictions and Future Multi-element Ore Control Data written by Martha Villalba Matamoros and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mine production scheduling may be long-term or short-term based on the time period considered and the final objective. The optimization goal of short-term production scheduling is to minimize the mining cost expected from a mine while satisfying operational constraints, such as mining slope, grade blending, metal production, mining capacity and processing capacity; however some parameters may be uncertain, such as metal quality and fleet parameters. Traditional short-term production planning is carried out by two sequential optimizations, production schedule is defined at the first step and the available fleet is evaluated for this schedule as a second step, however; the fleet availability, hauling time and mining considerations do not influence the schedule decision. In addition, the fleet optimization algorithms do not consider uncertainty in their parameters and do not take into account the local mineralization of the deposit because a single possibly misleading total aggregated block tonnage is linked to each sector to be mined. The local mineralization or local scale variability between blocks assists in the blending process and metal quality control; however, the traditional short-term production scheduling is based on exploration drilling or a sparse data ore body model, while in practice grade control data or close spacing blasthole drilling classify the material as ore and waste because their short-scale information is not available at the time of the monthly short-term planning. The local variability is relevant in the short-term production scheduling to define the destination of the material.The short-term mine production scheduling in this thesis is developed as a single formulation where mining considerations, production constraints, uncertainty in the orebody metal quantity, as well as fleet parameters, are evaluated together to define a well informed sequence of mining that results in high performance at the mine operation. The formulation is implemented at a multi-element iron mine and the resulting monthly schedules show lower cost, minable patterns and, efficient fleet allocation, that ensures a higher and less variable utilization of the fleet over the conventional schedule approach.Uninformed and ultimately costly decisions can be taken because of imperfect geological knowledge or information effect. The orebody uncertainty may be updated by simulated future ore control data to account for local scale grade variability, and the information used to discriminate ore and waste in practice. Multi-element orebody uncertainty models are updated based on the correlation of exploration data and past ore control data, this orebody uncertainty is then used to optimize the short-term production scheduling that leads to better performance in terms of matching ore quality targets and delivering recoverable reserves." --
Author : Thys Brentwood Johnson
Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.:/5 (21 download)
Download or read book Optimum Open Pit Mine Production Scheduling written by Thys Brentwood Johnson and published by . This book was released on 1968 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-period open pit mine production scheduling problem is formulated as a large scale linear programming problem using the block concept. A solution procedure is developed through decomposition and partitioning of the subproblem into elementary profit routing problems for which an algorithm is presented. Many of the traditional mine planning concepts are discussed and suggestions for improvement through use of the techniques developed in this thesis are given. In the development of the solution procedure, those constraints which govern the mining system are considered as the master problem. The constraints which dictate the sequence of extraction are used as the subproblem. The properties of the single period subproblem and its dual are discussed, and the dual problem is shown to be equivalent to a bipartite maximum flow problem for which an algorithm is given. The Multi-period subproblem algorithm is developed by partitioning by stages and using the properties of the single period subproblem. This treatment allows optimization of the complete mining-concentrating-refining system over the entire planning horizon and permits the system to dictate how and when to process a block of material. (Author).
Author : Snehamoy Chatterjee
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (936 download)
Download or read book Production Scheduling Under Uncertainty for an Open Pit Mine Using Lagrangian Relaxation and Branch-and-cut Algorithm written by Snehamoy Chatterjee and published by . This book was released on 2014 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zeyneb Brika
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)
Download or read book Optimizing the Mine Production Scheduling Accounting for Stockpiling and Investment Decisions Under Geological Uncertainty written by Zeyneb Brika and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Erkan Topal
Publisher : Springer Nature
ISBN 13 : 3030339548
Total Pages : 515 pages
Book Rating : 4.0/5 (33 download)
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.
Author : Mario de Freitas Silva
Publisher :
ISBN 13 :
Total Pages : 14 pages
Book Rating : 4.:/5 (936 download)
Download or read book Solving a Large SIP Model for Production Scheduling at a Gold Mine with Multiple Processing Streams and Uncertain Geology written by Mario de Freitas Silva and published by . This book was released on 2014 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Akshay A Chowdu
Publisher :
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4.:/5 (124 download)
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.
