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Author : Georges Verly
Publisher : Unknown
Page : 528 pages
File Size : 53,9 Mb
Release : 1984
Category : Geology
ISBN : UCSD:31822001957349
Author : Georges Verly,Michel David,Andre G. Journel,Alain Marechal
Publisher : Springer Science & Business Media
Page : 586 pages
File Size : 41,5 Mb
Release : 2013-11-21
Category : Science
ISBN : 9789400936997
Author : Pierre Goovaerts
Publisher : Oxford University Press, USA
Page : 502 pages
File Size : 40,9 Mb
Release : 1997
Category : Mathematics
ISBN : 0195115384
This text provides an advanced introduction to the theory and applications of geostatistics, including tools for description, modeling spatial continuity, spatial prediction, assessment of local uncertainty, and stochastic simulation.
Author : G. Verly
Publisher : Springer
Page : 1125 pages
File Size : 48,9 Mb
Release : 1984-01-01
Category : Electronic
ISBN : 9027717338
Author : N. Janardhana Raju
Publisher : Springer
Page : 969 pages
File Size : 52,7 Mb
Release : 2015-11-30
Category : Science
ISBN : 9783319186634
These proceedings of the IAMG 2014 conference in New Delhi explore the current state of the art and inform readers about the latest geostatistical and space-based technologies for assessment and management in the contexts of natural resource exploration, environmental pollution, hazards and natural disaster research. The proceedings cover 3D visualization, time-series analysis, environmental geochemistry, numerical solutions in hydrology and hydrogeology, geotechnical engineering, multivariate geostatistics, disaster management, fractal modeling, petroleum exploration, geoinformatics, sedimentary basin analysis, spatiotemporal modeling, digital rock geophysics, advanced mining assessment and glacial studies, and range from the laboratory to integrated field studies. Mathematics plays a key part in the crust, mantle, oceans and atmosphere, creating climates that cause natural disasters, and influencing fundamental aspects of life-supporting systems and many other geological processes affecting Planet Earth. As such, it is essential to understand the synergy between the classical geosciences and mathematics, which can provide the methodological tools needed to tackle complex problems in modern geosciences. The development of science and technology, transforming from a descriptive stage to a more quantitative stage, involves qualitative interpretations such as conceptual models that are complemented by quantification, e.g. numerical models, fast dynamic geologic models, deterministic and stochastic models. Due to the increasing complexity of the problems faced by today’s geoscientists, joint efforts to establish new conceptual and numerical models and develop new paradigms are called for.
Author : Ernest Y. Baafi,Neil A. Schofield
Publisher : Springer Science & Business Media
Page : 792 pages
File Size : 47,5 Mb
Release : 1997
Category : Science
ISBN : 0792344944
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.
Author : Richard Webster,Margaret A. Oliver
Publisher : John Wiley & Sons
Page : 330 pages
File Size : 50,8 Mb
Release : 2007-10-22
Category : Mathematics
ISBN : 0470517263
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.
Author : M. Armstrong
Publisher : Springer Science & Business Media
Page : 1059 pages
File Size : 52,7 Mb
Release : 2013-12-11
Category : Science
ISBN : 9789401568449
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.
Author : Peter M. Atkinson,C. D. Lloyd
Publisher : Springer Science & Business Media
Page : 422 pages
File Size : 46,5 Mb
Release : 2010-07-03
Category : Science
ISBN : 9789048123223
This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK. It presents the state-of-the-art in geostatistics for the environmental sciences.
Author : A.O. Soares
Publisher : Springer Science & Business Media
Page : 1097 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401117395
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.
Author : S. R. Yates,Marylynn V. Yates
Publisher : Unknown
Page : 80 pages
File Size : 42,7 Mb
Release : 1990
Category : Geology
ISBN : UCSD:31822017816620
Author : Jacob H. Dane,Clarke G. Topp
Publisher : John Wiley & Sons
Page : 1744 pages
File Size : 51,7 Mb
Release : 2020-05-27
Category : Technology & Engineering
ISBN : 9780891188414
The best single reference for both the theory and practice of soil physical measurements, Methods, Part 4 adopts a more hierarchical approach to allow readers to easily find their specific topic or measurement of interest. As such it is divided into eight main chapters on soil sampling and statistics, the solid, solution, and gas phases, soil heat, solute transport, multi-fluid flow, and erosion. More than 100 world experts contribute detailed sections.
Author : Jean-Paul Chilès,Pierre Delfiner
Publisher : John Wiley & Sons
Page : 718 pages
File Size : 43,5 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317839
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Author : M.R. Tek
Publisher : Springer Science & Business Media
Page : 451 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789400909939
This book contains the proceedings of NATO Advanced Study Institute, 'Underground Storage of Natural Gas - Theory and Practice', which was held at The Middle East Technical University, Ankara, Turkey during 2-10 May 1988. Underground storage is the process which effectively balances a variable demand market with a desirably constant supply provided by pipelines. Storage reservoirs are the unique warehouses designed and developed to provide a ready supply of natural gas in response to high, peak demands during cold weather. The natural' gas is injected into the underground storage environment when the market demand falls below the supply available from the pipeline. It is withdrawn from the storage reservoir to supplement the steady supply provided by the pipelines whenever the demand exceeds the supply. The overall wellbeing of the entire western world in general and of the NATO member count ries in particular depend critically upon having sufficient energy resources. Of over 80 quad Btus of energy consumed each year in the western world, about 30~ comes from natural gas, a figure only exceeded by oil. The technology related to supply and demand of natural gas has been in the focus of long range energy planning during the last decade in Western Europe. In view of recent developments related to natural gas in Europe and Turkey, an "Advanced Study Institute" programme in Turkey on underground storage of natural gas was deemed particularly relevant and timely.
Author : Oy Leuangthong,K. Daniel Khan,Clayton V. Deutsch
Publisher : John Wiley & Sons
Page : 145 pages
File Size : 40,7 Mb
Release : 2011-09-20
Category : Mathematics
ISBN : 9781118210512
This unique book presents a learn-by-doing introduction to geostatistics. Geostatistics provides the essential numerical tools for addressing research problems that are encountered in fields of study such as geology, engineering, and the earth sciences. Illustrating key methods through both theoretical and practical exercises, Solved Problems in Geostatistics is a valuable and well-organized collection of worked-out problems that allow the reader to master the statistical techniques for modeling data in the geological sciences. The book's scope of coverage begins with the elements from statistics and probability that form the foundation of most geostatistical methodologies, such as declustering, debiasing methods, and Monte Carlo simulation. Next, the authors delve into three fundamental areas in conventional geostatistics: covariance and variogram functions; kriging; and Gaussian simulation. Finally, special topics are introduced through problems involving utility theory, loss functions, and multiple-point geostatistics. Each topic is treated in the same clearly organized format. First, an objective presents the main concepts that will be established in the section. Next, the background and assumptions are outlined, supplying the comprehensive foundation that is necessary to begin work on the problem. A solution plan demonstrates the steps and considerations that have to be taken when working with the exercise, and the solution allows the reader to check their work. Finally, a remarks section highlights the overarching principles and noteworthy aspects of the problem. Additional exercises are available via a related Web site, which also includes data related to the book problems and software programs that facilitate their resolution. Enforcing a truly hands-on approach to the topic, Solved Problems in Geostatistics is an indispensable supplement for courses on geostatistics and spatial statistics a the upper-undergraduate and graduate levels.It also serves as an applied reference for practicing professionals in the geosciences.
