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| advanced geostatistics in the mining industry: Advanced Geostatistics in the Mining Industry M. Guarascio, C.J. Huybrechts, M. David, 1976-07-31 When Prof. Hatheron was asked to delineate the history of geostatistics, he objected that such discipline is still too young to be treated from a historical point of view. The more and more increasing practical applications requiring newer and newer methodologies would rather suggest the necessity of empha sizing the steps taken and the results obtained up to now. The reason of certain epistemological choices as well as the difficul ties and success in establishing a dialogue with the people most likely to benefit from the results of geostatistics are necessary premises to understand the present status of this discipline. The human bearing of characters of the persons that have introduc ed and studied this science blending theory with economic prac tics is a factor playing a not inconsiderable role in the develop ment of geostatistics. These concepts were the guidelines in organizing the ASI-Geo stat 75. Canada, France and Italy are three different situations in an industrial and academic context, especially in the interac tion between these fields. Yet it was our impression that the time had come to assemble experts, scholars, and other people in terested in geostatistics in order to evaluate its present posi tion on various levels in the different countries and to discuss its future prospects. Prof. Hatheron and Hr. Krige as well as other prominent people were of the same opinion. |
| advanced geostatistics in the mining industry: Advanced Geostatistics in the Mining Industry M. Guarascio, Michel David (Geologist), C. Huijbregts, 1976 |
| advanced geostatistics in the mining industry: Advanced Geostatistics in the Mining Industry Massimo Guarascio, 1976 |
| advanced geostatistics in the mining industry: Geostatistics for the Mining Industry Xavier Emery, Serge Antoine Séguret, 2020-12-28 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. |
| advanced geostatistics in the mining industry: ADVANCED GEOSTATISTICS IN THE MINING INDUSTRY- PAPERS PRESENTED AT A NATO ADVANCED STUDY INSTITUTE. , |
| advanced geostatistics in the mining industry: Advanced Geostatistics in the Mining Industry Dordrecht Holland M. Guarascio, M. David, C. Huijbregts, 1976 |
| advanced geostatistics in the mining industry: Advanced Geostatistics in the Mining Industry Massimo Guarascio, Michel David, Ch. J. Huijbregts, 1976 |
| advanced geostatistics in the mining industry: Advanced Geostatistics in the Mining Industry Massimo Guarascio, 1976 |
| advanced geostatistics in the mining industry: Advanced geostatistics in the mining industry NATO Advanced Study Institute $(1975 : University of Rome), 1976 |
| advanced geostatistics in the mining industry: Geostatistics Jean-Paul Chilès, Pierre Delfiner, 2012-02-08 Praise for the First Edition . . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner. Mathematical Geosciences The state of the art in geostatistics Geostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field. The authors explain both the theory and applications of geostatistics through a unified treatment that emphasizes methodology. Key topics that are the foundation of geostatistics are explored in-depth, including stationary and nonstationary models; linear and nonlinear methods; change of support; multivariate approaches; and conditional simulations. The Second Edition highlights the growing number of applications of geostatistical methods and discusses three key areas of growth in the field: New results and methods, including kriging very large datasets; kriging with outliers; nonse??parable space-time covariances; multipoint simulations; pluri-gaussian simulations; gradual deformation; and extreme value geostatistics Newly formed connections between geostatistics and other approaches such as radial basis functions, Gaussian Markov random fields, and data assimilation New perspectives on topics such as collocated cokriging, kriging with an external drift, discrete Gaussian change-of-support models, and simulation algorithms Geostatistics, Second Edition is an excellent book for courses on the topic at the graduate level. It also serves as an invaluable reference for earth scientists, mining and petroleum engineers, geophysicists, and environmental statisticians who collect and analyze data in their everyday work. |
| advanced geostatistics in the mining industry: Geostatistical Ore Reserve Estimation M. David, 2012-12-02 Developments in Geomathematics, 2: Geostatistical Ore Reserve Estimation focuses on the methodologies, processes, and principles involved in geostatistical ore reserve estimation, including the use of variogram, sampling, theoretical models, and variances and covariances. The publication first takes a look at elementary statistical theory and applications; contribution of distributions to mineral reserves problems; and evaluation of methods used in ore reserve calculations. Concerns cover estimation problems during a mine life, origin and credentials of geostatistics, precision of a sampling campaign and prediction of the effect of further sampling, exercises on grade-tonnage curves, theoretical models of distributions, and computational remarks on variances and covariances. The text then examines variogram and the practice of variogram modeling. Discussions focus on solving problems in one dimension, linear combinations and average values, theoretical models of isotropic variograms, the variogram as a geological features descriptor, and the variogram as the fundamental function in error computations. The manuscript ponders on statistical problems in sample preparation, orebody modeling, grade-tonnage curves, ore-waste selection, and planning problems, the practice of kriging, and the effective computation of block variances. The text is a valuable source of data for researchers interested in geostatistical ore reserve estimation. |
| advanced geostatistics in the mining industry: Geostatistical Analysis of Compositional Data Vera Pawlowsky-Glahn, Ricardo A. Olea, 2004-06-03 Geostatistical Analysis of Compositional Data provides a comprehensive coverage of the theory and practice of analysis of data that have both spatial and compositional dependence, characteristics of most earth science and environmental measurements. |
| advanced geostatistics in the mining industry: Geostatistics for Environmental Applications Philippe Renard, Hélène Demougeot-Renard, Roland Froidevaux, 2005-12-06 The science of geostatistics is now being employed in an increasing number of disciplines in environmental sciences. This book surveys the latest applications of Geostatistics in a broad spectrum of fields including air quality, climatology, ecology, groundwater hydrology, surface hydrology, oceanography, soil contamination, epidemiology and health, natural hazards, and remote sensing. |
| advanced geostatistics in the mining industry: Multivariate Geostatistics Hans Wackernagel, 2013-03-09 An introduction to geostatistics stressing the multivariate aspects for scientists, engineers and statisticians. The book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of three basic methods of multivariate analysis. Applications from very different areas of science, as well as exercises with solutions, are provided to help convey the general ideas. In this second edition, the chapters regarding normal kriging and cokriging have been restructured and the section on non-stationary geostatistics has been entirely rewritten. |
| advanced geostatistics in the mining industry: Geostatistical Simulations M. Armstrong, P.A. Dowd, 2013-06-29 When this two-day meeting was proposed, it was certainly not conceived as a celebration, much less as a party. However, on reflection, this might have been a wholly appropriate gesture because geostatistical simulation came of age this year: it is now 21 years since it was first proposed and implemented in the form of the turning bands method. The impetus for the original development was the mining industry, principally the problems encountered in mine planning and design based on smoothed estimates which did not reflect the degree of variability and detail present in the real, mined values. The sustained period of development over recent years has been driven by hydrocarbon applications. In addition to the original turning bands method there are now at least six other established methods of geostatistical simulation. Having reached adulthood, it is entirely appropriate that geostatistical simulation should now be subjected to an intense period of reflection and assessment. That we have now entered this period was evident in many of the papers and much of the discussion at the Fontainebleau meeting. Many questions were clearly articulated for the first time and, although many ofthem were not unambiguously answered, their presentation at the meeting and publication in this book will generate confirmatory studies and further research. |
| advanced geostatistics in the mining industry: Geostatistics M. Armstrong, 2013-12-11 ACKNOWLEDGEMENTS xvii LIST OF PARTICIPANTS xix PLENARY SESSIQNS KRIGE D.G., GUARASCIO M. and CAMISANI-CALZOLARI F.A. Early South African qeostatistical techniques in today's perspective ... 1 MATHERON G. The internal consistency of models in qeostatistics ... 21 MONESTIEZ P., HABIB R. and AUDERGON J.M. Estimation de la covariance et du varioqramme pour une fonction aleatoire a support arborescent : application a l'etude des arbres fruitiers ... 39 CHILES J.P. Modelisation qeostatistique de reseaux de fractures ... 57 BRUNO R. and RASPA G. Geostatistical characterization of fractal models of surfaces 17 RIVOIRARD J. Models with orthoqonal indicator residuals ... 91 OMRE H., HALVORSEN K.B. and BERTEIG V.A Bayesian approach to kriqinq ... 109 THEQRY I SWITZER P. Non-stationary spatial covariances estimated from monitorinq data ... 127 CHAUVET P. Quelques aspects de l'analyse structurale des FAI-k a 1 dimension ... 139 vi TABLE OF CONTENTS DOWD P.A. Generalised cross-covariances ... 151 CRESSIE N. The many faces of spatial prediction ..-- ... - ... --.-.-..-. 163 OBLED C. & BRAUD I. Analogies entre geostatistique et analyse en composantes principales de processus ou analyse EOFs ... 177 THEORY II JEULIN D. Sequential random functions models ... 189 CHAUTRU J.M. The use of Boolean random functions in geostatistics -.--.-- ... 201 SOARES A.O. Use of a mathematical morphology tool in characterizing covariance & of indicator data ... 213 ALLISON H.J. Regularization in geostatistics and in ill-posed inversed problems ... - . . - . - . . - ... - - ... 225 DONG A. |
| advanced geostatistics in the mining industry: Geostatistics Tróia '92 A.O. Soares, 2012-12-06 The contributions in this book were presented at the Fourth International Geostatistics Congress held in Tróia, Portugal, in September 1992. They provide a comprehensive account of the current state of the art of geostatistics, including recent theoretical developments and new applications. In particular, readers will find descriptions and applications of the more recent methods of stochastic simulation together with data integration techniques applied to the modelling of hydrocabon reservoirs. In other fields there are stationary and non-stationary geostatistical applications to geology, climatology, pollution control, soil science, hydrology and human sciences. The papers also provide an insight into new trends in geostatistics particularly the increasing interaction with many other scientific disciplines. This book is a significant reference work for practitioners of geostatistics both in academia and industry. |
| advanced geostatistics in the mining industry: Chemical and Biological Characterization of Municipal Sludges, Sediments, Dredge Spoils, and Drilling Muds James J. Lichtenberg, 1988 |
| advanced geostatistics in the mining industry: Deposit and Geoenvironmental Models for Resource Exploitation and Environmental Security Andrea G. Fabbri, Gabor Gaál, Richard B. McCammon, 2012-12-06 Geological processes affect the earth itself and human society. Solutions to geological problems, whether natural or man-made, demand close international collaboration. This book presents new approaches to current problems of environmental assessment, demonstrates the interactions between those involved in addressing global problems, and represents a means for the education of others. The book focuses on four major themes: geoenvironmental models, GIS methods and techniques, assessment and resource management, and resource policies and sustainable development. The major topics falling under each theme are introduced, followed by discussions of specific applications. Reports of the discussions of working groups are also presented to round out the individual contributions. The disciplines represented include geology, geophysics, geochemistry, remote sensing, economics, biology, mining engineering, resource analysis, mathematics and statistics. |
| advanced geostatistics in the mining industry: Progress in Industrial Mathematics at ECMI 2002 Andris Buikis, Raimondas Ciegis, Alistair D. Fitt, 2013-04-17 This volume contains the proceedings of the twelfth conference of the Euro pean Consortium for Mathematics in Industry. ECMI was founded in 1986 in to foster research and education in Mathematics in Industry in Europe order and these biannual conferences are the show case for ECMI's research. It is a pleasure to see that six of the plenary speakers have submitted papers for this volume. Their contributions illustrate the breadth of applica tions and the variety of mathematical and computational techniques that are embraced by ECMI. ECMI is also committed to the education of students and it is encouraging that a number of the papers are given by students. The Wacker Prize, which is offered for a Masters Level thesis on an industrial problem, always attracts excellent entries and this year's winner, Nicole Marheineke, is no exception. This is the first time that an ECMI conference has been held in Eastern Europe and the ECMI Council is very grateful to Professor Andris Buikis and his colleagues in Latvia and Lithuania for the excellent job they have done. Thanks too go to the European Union which supported 30 delegates at this conference via TMR Contract No ERBFMRXCT 97-0117 'Differential Equations in Industry and Commerce'. The final meeting of this network was held during this conference which provided a platform for network members to describe their work to a wider audience. |
| advanced geostatistics in the mining industry: Kriging in Slope Reliability Analysis Lei-Lei Liu, Jing-Ze Li, Lei Huang, 2024-11-25 Kriging can be used to determine optimal unbiased predictions for regionalized variables and has been shown to be a powerful tool in slope reliability analysis for reliability-based design. This is the first book to systematically cover the basic theory and applications of the method in slope reliability assessment. The book gives an extensive and detailed presentation of principles and applications, introducing geostatistics and the basic theory of Kriging before addressing the challenges in the application of Kriging in slope reliability analysis. The latest advancements in Kriging application methods are introduced, which enhance computational accuracy and reduce model errors. These include optimization algorithms for spatial parameters in Kriging, adaptive modeling of spatial correlation structures, efficient sampling methods based on Monte Carlo simulation, quantitative analysis of slope failure risks, and reliability analysis methods for unreinforced and reinforced slopes based on conditional random fields. Several case studies are presented to illustrate the practical application and implementation procedures, bridging theory, and practical engineering. Kriging in Slope Reliability Analysis particularly suits consulting engineers, researchers, and postgraduate students. |
| advanced geostatistics in the mining industry: Geostatistics for Environmental and Geotechnical Applications Shahrokh Rouhani, 1996 |
| advanced geostatistics in the mining industry: geoENV I — Geostatistics for Environmental Applications A.O. Soares, Jaime Gómez-Hernández, Roland Froidevaux, 2013-06-29 GeoENV96, the First European Conference on Geostatistics for Environmental Applications held in Lisbon, was conceived to bring together researchers, mostly from, but not limited to Europe, working on environmental issues approached by geostatistical methods. Papers were attracted from fields as diverse as hydrogeology. biology, soil sciences, air pollution or ecology. It is clear that there is a lot of activity on geostatistics for environmental applications as the collection of papers in this book reveals. GeoENV96 was successful in the number and quality of the papers presented which surpassed the initial expectations. There is still a large dispersion on the level of application of geostatistics in the different areas. To help in spreading the most novel applications of geostatistics across disciplines and to discuss the specific problems related to the application of geostatistics to environmental applications, geoENV96 is intended to set the pace and to be the first of a series of biennial meetings. The pace is set, now let us wait for geoENV98. Lisbon, November 1996 The Executive Committee: Jaime Gomez-Hernandez Roland Froidevaux Amflcar Soares TABLE OF CONTENTS Foreword .................................................. Vll Hydrology, Groundwater, Groundwater Contaminantion Equivalent Transmissivities in Heterogeneous Porous Media under Radially Convergent Flow X. Sanchez-Vila, c.L. Axness and J. Carrera .......................... . |
| advanced geostatistics in the mining industry: Geostatistics for Environmental Scientists Richard Webster, Margaret A. Oliver, 2007-10-22 Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited. Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved. |
| advanced geostatistics in the mining industry: Geostatistics for Natural Resources Evaluation Pierre Goovaerts, 1997 This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences. |
| advanced geostatistics in the mining industry: Geostatistics for Natural Resources Characterization Georges Verly, Michel David, Andre G. Journel, Alain Marechal, 2013-11-21 |
| advanced geostatistics in the mining industry: Geostatistics Wollongong '96 Ernest Y. Baafi, Neil A. Schofield, 1997 The papers in this volume provide a comprehensive account of the current methods and work in geostatistics, including recent theoretical developments and applications. Topics featured include: stochastic simulations, space-time modelling, and Bayesian framework. |
| advanced geostatistics in the mining industry: Mineral Resource Estimation Mario E. Rossi, Clayton V. Deutsch, 2013-12-21 Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need. |
| advanced geostatistics in the mining industry: Applied Mineral Inventory Estimation Alastair J. Sinclair, Garston H. Blackwell, 2006-01-19 Presents an applied approach to the estimation of mineral resources/reserves. It is suitable for any university or mining school that offers courses on mineral resource/reserve estimation. It will also be valuable for professional mining and geological engineers and geologists working with mineral exploration companies. |
| advanced geostatistics in the mining industry: Geostatistical Case Studies G. Matheron, M. Armstrong, 2012-12-06 It is now nearly 25 years since the first textbook on geostatistics (Traitj de gjostatistique appliquje by G. Matheron) appeared in print in 1962. In that time geostatis tics has grown from an arcane theory regarded with scepticism by statisticians and miners alike, to a reputable scientific disci pline which is routinely used in the geosciences. In the mining industry, in particularly, comparisons between predicted reserve estimates and actual production figures have proved its worth. Few now doubt its usefulness as a statistical tool in the earth sciences. Over the past quarter of a century, many geostatistical case studies have been published but the vast majority of these are routine applications of kriging. Our objective with this volume is to present a series of innovative applications of geostatistics. These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions. Applications of new techniques such as the external drift method for combining well data with seismic information have also been included. Throughout the volume the accent has been put on how to apply geostatistics in practice. Notation has been kept to a mininmum and mathematical details have been relegated to annexes. We hope that this will encourage readers to put the more sophis ticated techniques into practice in their own fields. |
| advanced geostatistics in the mining industry: Random Field Models in Earth Sciences George Christakos, 2013-10-22 This book is about modeling as a prinicipal component of scientific investigations. In general terms, modeling is the funamental process of combining intellectual creativity with physical knowledge and mathematical techniques in order to learn the properties of the mechanisms underlying a physical phenomenon and make predictions. The book focuses on a specific class of models, namely, random field models and certain of their physical applications in the context of a stochastic data analysis and processing research program. The term application is considered here in the sense wherein the mathematical random field model is shaping, but is also being shaped by, its objects.This book explores the application of random field models and stochastic data processing to problems in hydrogeology, geostatistics, climate modeling, and oil reservoir engineering, among others Researchers in the geosciences who work with models of natural processes will find discussion of; - Spatiotemporal random fields - Space transformation - Multidimensional estimation - Simulation - Sampling design - Stochastic partial differential equations |
| advanced geostatistics in the mining industry: Introduction to Geostatistics P. K. Kitanidis, 1997-05-13 Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study. |
| advanced geostatistics in the mining industry: Matheron's Theory of Regionalised Variables Georges Matheron, 2019 In the summer of 1970, Georges Matheron, the father of geostatistics, presented a series of lectures at the Centre de Morphologie Mathmatique in France. These lectures would go on to become Matheron's Theory of Regionalized Variables, a seminal work that would inspire hundreds of papers and become the bedrock of numerous theses and books on the topic; however, despite their importance, the notes were never formally published. In this volume, Matheron's influential work is presented as a published book for the first time. Originally translated into English by Charles Huijbregts, and carefully curated here, this book stays faithful to Matheron's original notes. The text has been ordered with a common structure, and equations and figures have been redrawn and numbered sequentially for ease of reference. While not containing any mathematical technicalities or case studies, the reader is invited to wonder about the physical meaning of the notions Matheron deals with. When Matheron wrote them, he considered the theory of linear geostatistics complete and the book his final one on the subject; however, this end for Matheron has been the starting point for most geostatisticians. |
| advanced geostatistics in the mining industry: Nonparametric Geostatistics S. Henley, 2012-12-06 The ideas in this book have been developed over the past three or four years while I was working at the Institute of Geological Sciences and later for Golder Associates. During that time all of the geological modelling and resource estimation studies I participated in had data that were non-ideal in one respect or another (or just plain 'dirty'): the standard ways of handling the data with kriging or with simpler parametric methods gave reason able results, but always there were nagging doubts and some lack of confidence because of the corners that had to be cut in generat ing a model. The bimodal distribution that was assumed to be 'close enough' to normal; the pattern of rich and poor zones that was not quite a trend yet made the data very non-stationary; and the many plotted variograms that would not fit any standard model variogram: these all contributed to the feeling that there should be something that statistics could say about the cases where hardly any assumptions could be made about the properties ofthe parent population. |
| advanced geostatistics in the mining industry: Contributions to Geology , 1979 |
| advanced geostatistics in the mining industry: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging José-María Montero, Gema Fernández-Avilés, Jorge Mateu, 2015-08-19 Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R. This book includes: Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods. The most innovative developments in the different steps of the kriging process. An up-to-date account of strategies for dealing with data evolving in space and time. An accompanying website featuring R code and examples |
| advanced geostatistics in the mining industry: Quantitative Analysis of Mineral and Energy Resources C.F. Chung, Andrea G. Fabbri, R. Sinding-Larsen, 2012-12-06 This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on Statistical Treatments for Estimation of Mineral and Energy Resources held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on Quantitative Resource Evaluation and a three-day workshop on Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena. |
| advanced geostatistics in the mining industry: Geostatistics Pierre F. Mousset-Jones, 1980 |
| advanced geostatistics in the mining industry: Surface Mining, Second Edition Bruce A. Kennedy, Society for Mining, Metallurgy, and Exploration (U.S.), 1990 This SME classic is both a reference book for the working engineer and a textbook for the mining student. This hardcover edition gives a brief history of surface mining and a general overview of the state of surface mining today--topics range from production and productivity to technological developments and trends in equipment. This extremely useful text takes the approach that exploration and mining geologists must be expert in a number of fields, including basic finance and economics, logistics, and pragmatic prospecting. Readers will find material on all these topics and more. The book's nine chapters include: Introduction, Exploration and Geology Techniques, Ore Reserve Estimation, Feasibility Studies and Project Financing, Planning and Design of Surface Mines, Mine Operations, Mine Capital and Operating Costs, Management and Organization, and Case Studies. The book is fully indexed. |
| advanced geostatistics in the mining industry: geoENV III — Geostatistics for Environmental Applications Pascal Monestiez, Denis Allard, Roland Froidevaux, 2012-12-06 This volume contains selected contributions from geoENV III - the Third European Conference on Geostatistics for Environmental Sciences, held in Avignon, France in November 2000. This third book of the geoENV series illustrates the new methodological developments in geostatistics, as applied to environmental sciences, which have occurred during the last two years. It also presents a wide variety of practical environmental applications which will be of interest to both researchers and practitioners. The book starts with two keynote papers on hydrogeology and on climatology and atmospheric pollution, followed by forty contributions. The content of this book is foremost practical. The editors have endeavored to compile a set of papers in which the readers could perceive how geostatistics is applied within environmental sciences. A few selected methodological and theoretical contributions are also included. The papers are organised in the following sections: Air Pollution / Climate; Environment; Health / Ecology; Hydrology; Methods; Soil Science / Site Remediation. presenting applications varying from delineation of hazardous areas, monitoring water quality, space-time modeling of sand beaches, areal rainfall estimation, air pollution monitoring, multivariate conditional simulation, soil texture analysis, fish abundance analysis, tree productivity index estimation, radionuclide migration analysis, wombling procedure, tracer tests modeling, direct sequential co-simulation to stochastic modeling of flow and transport. Audience: This publication will be of great interest and practical value to geostatisticians working both in academia and in industry. |
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Advanced Geostatistics In The Mining Industry Proceedings …
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Advanced Geostatistics In The Mining Industry Proceedings …
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Advanced Geostatistics In The Mining Industry …
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Advanced Geostatistics in the Mining Industry M. Guarascio,C.J. Huybrechts,M. David,2012-12-06 When Prof. Hatheron was asked to delineate the history of geostatistics, he objected that such …
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Advanced Geostatistics in the Mining Industry M. Guarascio,C.J. Huybrechts,M. David,2012-12-06 When Prof Hatheron was asked to delineate the history of geostatistics he objected that such …
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Advanced Geostatistics In The Mining Industry …
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Advanced Geostatistics In The Mining Industry …
Geostatistics in the Mining Industry: Proceedings ...Advanced Mining Geostatistics: from theory to practice Learn from experts in geostatistics both the theory and practice of Conditional …
Advanced Geostatistics In The Mining Industry
Advanced Geostatistics in the Mining Industry M. Guarascio,C.J. Huybrechts,M. David,2012-12-06 When Prof Hatheron was asked to delineate the history of geostatistics he objected that such …
Advanced Geostatistics In The Mining Industry …
Oct 4, 2023 · Advanced Geostatistics in the Mining Industry M. Guarascio,C.J. Huybrechts,M. David,2012-12-06 When Prof. Hatheron was asked to delineate the history of geostatistics, he …
Advanced Geostatistics In The Mining Industry …
This blog post will delve into the proceedings of a NATO Advanced Study Institute focusing on advanced geostatistics in the mining industry. It will be structured as follows: 1. Briefly …
