Applied Geostatistics

Author: Edward H. Isaaks,R. Mohan Srivastava

Publisher: Oxford University Press, USA

ISBN: 9780195050134

Category: Mathematics

Page: 561

View: 9836

"The book is so easy to follow that many readers may not even need formal instruction and may find it suitable for self-tutoring. I predict the volume will be a standard geostatistical reference for the decade." --Mathematical Geology

Applied Geostatistics with SGeMS

A User's Guide

Author: Nicolas Remy,Alexandre Boucher,Jianbing Wu

Publisher: Cambridge University Press

ISBN: 9781139473460

Category: Science

Page: N.A

View: 4309

The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.

Geostatistics Wollongong &96. 1 (1997)

Author: Ernest Y. Baafi,Neil A. Schofield

Publisher: Springer Science & Business Media

ISBN: 9780792344940

Category: Geology

Page: 1333

View: 3584

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.

geoENV VI – Geostatistics for Environmental Applications

Author: Amílcar Soares,Maria João Pereira,Roussos Dimitrakopoulos

Publisher: Springer Science & Business Media

ISBN: 9781402064487

Category: Science

Page: 511

View: 1086

This volume contains 40 selected full-text contributions from the Sixth European Conference on Geostatistics for Environmental Applications, geoENV IV, held in Rhodes, Greece, October 25-26, 2006. The objective of the editors was to compile a set of papers from which the reader could perceive how geostatistics is applied within the environmental sciences. A few selected theoretical contributions are also included.

Geostatistics and Petroleum Geology

Author: M.E. Hohn

Publisher: Springer Science & Business Media

ISBN: 9401144257

Category: Mathematics

Page: 235

View: 9038

This is an extensive revision of a book that I wrote over ten years ago. My purpose then has remained unchanged: to introduce the concepts and methods of spatial statistics to geologists and engineers working with oil and gas data. I believe I have accomplished more than that; just as I learned the basics of variography and kriging from books for mining engineers, this book could be used by scientists from many fields to learn the basics of the subject. I have tried to adopt an introductory and practical approach to the subject, knowing that books that detail the theory are available. What I say and write comes from my own experience. As a geologist working in the public sector, I have had the privilege of using geostatistics in funded research, in answering service requests from industry, and in short courses. I have taught geostatistics in the university classroom, and advised graduate students in theses and dissertations. I have attempted to anticipate the needs and questions of the enquiring scientist because I was there myself, and know the kind of questions and concerns I had at the time I was trying to learn the subject.

Geostatistics for Natural Resources Evaluation

Author: Pierre Goovaerts,Department of Civil and Environmental Engineering Pierre Goovaerts

Publisher: Oxford University Press on Demand

ISBN: 9780195115383

Category: Science

Page: 483

View: 5267

Genetic Destinies opens with the stories of the lives of two women; gene science causes the life of one to be free of suffering but fills that of the other with discrimination and oppression. The two imaginary future lives encompass the very best and the very worst of our hopes for gene science, and understanding what is reality and what is myth, what is possible and what impossible, is the key to unlocking the reality of this feared science. Nevertheless, understanding the delicate influences that gene differences play in our lives is central to our thinking about ourselves, and it is in the interplay of genes and lifestyle that our personalities and individual futures can be found. The genetic differences we each possess contain a record of the very origins of human beings and it is remarkable that our present day fates are influenced by patterns of ancient human history.

Multiple-point Geostatistics

Stochastic Modeling with Training Images

Author: Professor Gregoire Mariethoz,Jef Caers

Publisher: John Wiley & Sons

ISBN: 1118662938

Category: Science

Page: 376

View: 1740

This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.

Multivariate Geostatistics

An Introduction with Applications

Author: Hans Wackernagel

Publisher: Springer Science & Business Media

ISBN: 3662035502

Category: Science

Page: 293

View: 6102

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.

Applied Mineral Inventory Estimation

Author: Alastair J. Sinclair,Garston H. Blackwell

Publisher: Cambridge University Press

ISBN: 9781139433594

Category: Technology & Engineering

Page: N.A

View: 2421

Applied Mineral Inventory Estimation presents a comprehensive applied approach to the estimation of mineral resources/reserves with particular emphasis on the geological basis of such estimations, the need for and maintenance of a high quality assay data base, the practical use of a comprehensive exploratory data evaluation, and the importance of a comprehensive geostatistical approach to the estimation methodology. Practical problems and real data are used throughout as illustrations: each chapter ends with a summary of practical concerns, a number of practical exercises and a short list of references for supplementary study. This textbook is suitable for any university or mining school that offers senior undergraduate and graduate student courses on mineral resource/reserve estimation. It will also be valuable for professional mining engineers, geological engineers and geologists working with mineral exploration and mining companies.

Handbook of Applied Spatial Analysis

Software Tools, Methods and Applications

Author: Manfred M. Fischer,Arthur Getis

Publisher: Springer Science & Business Media

ISBN: 9783642036477

Category: Business & Economics

Page: 811

View: 5476

The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.

Key Methods in Geography

Author: Nicholas Clifford,Gill Valentine

Publisher: SAGE

ISBN: 9780761974925

Category: Science

Page: 572

View: 6878

Key Methods in Geography is an introduction for undergraduates to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It provides an accessible primer, which will be used by students as a reference throughout their degree, on all issues from research design to presentation. A unique feature of the book is that it provides definitions of terms from both human geography and physical geography. Organized into four parts: Getting Started in Geographical Research; Data Collection in Human Geography; Data Collection in Physical Geography; Analyzing and Representing Geographical Data. Each chapter is comprised of a short definition, a summary of the principal arguments, a substantive 5,000-word discussion, the use of real-life examples, and annotated notes for further reading. The teaching of research methods is integral in all geography courses. Key Methods in Geography identifies the key analytical and observational strategies with which all geography undergraduates should be conversant.

Geostatistical Reservoir Modeling

Author: Michael J. Pyrcz,Clayton V. Deutsch

Publisher: Oxford University Press

ISBN: 0199358834

Category: Mathematics

Page: 496

View: 830

Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysicists, geologists, and engineers, and was received well by professionals, academics, and both graduate and undergraduate students. In this revised second edition, Deutsch collaborates with co-author Michael Pyrcz to provide an expanded (in coverage and format), full color illustrated, more comprehensive treatment of the subject with a full update on the latest tools, methods, practice, and research in the field of petroleum Geostatistics. Key geostatistical concepts such as integration of geologic data and concepts, scale considerations, and uncertainty models receive greater attention, and new comprehensive sections are provided on preliminary geological modeling concepts, data inventory, conceptual model, problem formulation, large scale modeling, multiple point-based simulation and event-based modeling. Geostatistical methods are extensively illustrated through enhanced schematics, work flows and examples with discussion on method capabilities and selection. For example, this expanded second edition includes extensive discussion on the process of moving from an inventory of data and concepts through conceptual model to problem formulation to solve practical reservoir problems. A greater number of examples are included, with a set of practical geostatistical studies developed to illustrate the steps from data analysis and cleaning to post-processing, and ranking. New methods, which have developed in the field since the publication of the first edition, are discussed, such as models for integration of diverse data sources, multiple point-based simulation, event-based simulation, spatial bootstrap and methods to summarize geostatistical realizations.

Statistical Geoinformatics for Human Environment Interface

Author: Wayne L. Myers,Ganapati P. Patil

Publisher: CRC Press

ISBN: 1420082884

Category: Mathematics

Page: 223

View: 8266

Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons. These paired paradigms enable: The capacity to cope with complexity Systematic surveillance Visualization and communication Preliminary prioritization Coupling of GIS and statistical software Avenues for automation Illustrating the interdisciplinary nature of geoinformatics, this book offers a novel approach to the spatial analysis of human influences and environmental resources. It includes practical strategies for statistical and spatial analysis.