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.
This special volume offers a snapshot of the latest developments in mineral exploration, in particular, geophysical, geochemical, and computational methods. It reflects the cutting-edge applications of geophysics and geochemistry, as well as novel technologies, such as in artificial intelligence and hyperspectral exploration, methods that have profoundly changed how exploration is conducted. This special volume is a representation of these cutting-edge and pioneering methods to consider and conduct exploration, and should serve both as a valuable compendium of the most innovative exploration methodologies available and as a foreshadowing of the form of future exploration. As such, this volume is of significant importance and would be useful to any exploration geologist and company
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.
The first of its kind, this book offers a simple, yet detailed, step-by-step guide on solving traditional and future mine planning problems. It makes a comprehensive contemporary treatment of the needs of practical knowledge in mine planning of students and professionals in the mining industry. Its integration of spreadsheet modelling allows the reader to analyze more meaningful exercises, rather than simply solving traditional assignment type problems.
This book covers the main mining issues where geostatistics, a discipline founded in the 1960s to study regionalized variables measured at a limited number of points in space, is expected to play a role. Each chapter of the book is associated with a stage of the mining sequence, including the interpretation and geological modeling of mineral deposits, evaluation of in-situ and recoverable resources, long-term mine planning, short-term planning and ore control, geotechnics, geometallurgy and sampling. This work, featuring more than 150 illustrations, avoids the traditional laborious and crippling theoretical treatment of geostatistics and is systematically oriented toward a practical exhibition of the problems and proposed solutions. The writing is fluid and intended to involve the reader. The book is the fruit of more than 35 cumulative years of applied research by the authors, a professor at the University of Chile and a researcher at Mines ParisTech, carried out in collaboration with the Chilean company Codelco since the late 1990s. Despite focusing on copper porphyry deposits, the generalization of the methods presented to the entire mining industry is straightforward. The broad range of problems addressed, including generally neglected disciplines such as geotechnics, geometallurgy and sampling, and their practical presentation make this book unique and usable by a very wide audience – students, researchers, geologists, engineers, geotechnicians and metallurgists.
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.
This book provides readers with a timely snapshot of human factors research and methods fostering a better integration of technologies and humans during the whole manufacturing cycle, giving a special emphasis to the quality and safety of the industrial environment for workers, the efficiency of the manufacturing processes itself, the quality of the final product, and its distribution to and use by the customers. It discusses timely issues relating to the automation of the manufacturing processes, and the challenges imposed by the implementation of industry 4.0, additive manufacturing and 3D printing technologies. Contributions cover a range of industrial sectors, such as the automotive, health and constructions ones, highlighting both organizational and engineering solutions fostering sustainability, globalization, customization, workers’ well-being and consumers’ satisfaction, among other issues. Based on the AHFE 2021 Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, held virtually on 25–29 July, 2021, from USA, this book, which merges ergonomic research and technical know-how in the field of manufacturing and product design, addresses a wide range of engineers, designers and professionals, dealing with the integration of technologies and humans in the factories of the future.
The concept of circular economy is based on strategies, practices, policies, and technologies to achieve principles related to reusing, recycling, redesigning, repurposing, remanufacturing, refurbishing, and recovering water, waste materials, and nutrients to preserve natural resources. It provides the necessary conditions to encourage economic and social actors to adopt strategies toward sustainability. However, the increasing complexity of sustainability aspects means that traditional engineering and management/economics alone cannot face the new challenes and reach the appropriate solutions. Thus, this book highlights the role of engineering and management in building a sustainable society by developing a circular economy that establishes and protects strong social and cultural structures based on cross-disciplinary knowledge and diverse skills. It includes theoretical justification, research studies, and case studies to provide researchers, practitioners, professionals, and policymakers the appropriate context to work together in promoting sustainability and circular economy thinking. Volume 1, Circular Economy and Sustainability: Management and Policy, discusses the content of circular economy principles and how they can be realized in the fields of economy, management, and policy. It gives an outline of the current status and perception of circular economy at the micro-, meso-, and macro-levels to provide a better understanding of its role to achieve sustainability. Volume 2, Circular Economy and Sustainability: Environmental Engineering, presents various technological and developmental tolls that emphasize the implementation of these principles in practice (micro-level). It demonstrates the necessity to establish a fundamental connection between sustainable engineering and circular economy. - Presents a novel approach linking circular economy concept to environmental engineering and management to promote sustainability goals in modern societies - Approaches the topic of production and consumption at both the micro- and macro-levels, integrating principles with practice - Offers a range of theoretical and foundational knowledge in addition to case studies that demonstrate the potential impact of circular economy principles on economic and societal progress
This book describes an innovative closed-loop concept that allows the feedback of online data from operational monitoring to create mining intelligence. The application of this concept promises significant improvements in economic and environmental key performance indicators for any mining operation. Combining theory with industrial case studies, the book guides readers through this process by providing theoretical background, addressing practical issues related to operational implementation, and illustrating the impact on selected examples. This new concept is presented using the example of a bulk and gold mining application, but is applicable at any mine where grade control is important. The book is of interest to industrial professionals involved in operational monitoring, mining intelligence, and mine planning optimization, as well as to researchers and academics in the field of applied geostatistics.
In recent years, due to the high dependence of mineral projects on the precise determination of the tonnage of mineral materials, the various methods have been developed to estimate the grade such as geometric methods based on distance and geostatistics. Each method has limitations and disadvantages which affect the accuracy of estimation. One of the new methods is the grade estimation using the clustering. The cluster analysis methods are widely used in the earth sciences. The cluster grouping method is used to classify geochemical data. The cluster analysis connects the observations to each other which together have many similarities, then, the observations consecutively connect them which are most similar to previous observations. In other words, in clustering, we try to divide the data into clusters that the similarity is maximized between the data within each cluster and it is minimized between the data within the different clusters. No classes already exist in the clustering method and in fact, the variables are not divided independently and dependently, but here, the search is performed to access groups of data which are similar to each other and the behaviors can be better identified by discovering these similarities and it can be operated to achieve a better result based on them. The clustering method is an indirect method; this means that it can be used even when there is no previous information from the internal structure of the database. This method can be used to discover hidden patterns and improve the performance of direct methods. Behavioral science is under clustering methods. Behavioral science is a scientific way to identify the relationship between elements to identify the causes of this relationship There has long been a debate over how to identify the relationship between elements in different ways. Hence, the correlation of the elements can be mentioned. There are different types. But for a better view, we can say that all methods that show us the behavior of one or more elements to an element or group of elements are called behavioral. These methods can use different parameters to evaluate the behavior of the elements. Methods that examine the distances between elements in different ways than methods that summarize the dimensions of the data and search for the behavioral pattern of the data. The methods introduced in different books are always without operational training, and this leads the readers only to the theory of method. Therefore, we intend to put all the introduced and innovative methods with instructions so that you can get acquainted with its theory and learn how to get the outputs of that method. For example, we introduce methods that require the use of special software and try to bring you closer to the goal. Although some methods are not designed for any software, in this book we will provide you with the written code of MATLAB software that you can use to access the provided outputs. The main question arises when to measure behavior. The answer is that you can measure behavior at all stages of a project. When we want to understand the strange changes of the elements relative to each other or we examine the behavior of the joints and gaps in relation to the element. Even when we want to find out from the extensive analysis of one element in the region the concentration of other elements. Let's look at the petrological structures of the region or try to discover the mineralization type of a region. In this book, we intend to examine the following methods. - Correlation - Hierarchical analysis - K - Means - Regression analysis - PCA (Principal Component Analysis) - DA(Discriminant Analysis)
