Search results for: geostatistical-simulations

Geostatistical Simulations

Author : M. Armstrong
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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.

Geostatistical Simulation

Author : Christian Lantuejoul
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This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way.

Geostatistics

Author : Jean-Paul Chilès
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Praise for the First Edition ". . . a readable, comprehensive volume that . . . belongs onthe desk, close at hand, of any serious researcher orpractitioner." —Mathematical Geosciences The state of the art in geostatistics Geostatistical models and techniques such as kriging andstochastic multi-realizations exploit spatial correlations toevaluate natural resources, help optimize their development, andaddress environmental issues related to air and water quality, soilpollution, and forestry. Geostatistics: Modeling SpatialUncertainty, Second Edition presents a comprehensive, up-to-datereference on the topic, now featuring the latest developments inthe field. The authors explain both the theory and applications ofgeostatistics through a unified treatment that emphasizesmethodology. Key topics that are the foundation of geostatisticsare explored in-depth, including stationary and nonstationarymodels; linear and nonlinear methods; change of support;multivariate approaches; and conditional simulations. The SecondEdition highlights the growing number of applications ofgeostatistical methods and discusses three key areas of growth inthe field: New results and methods, including kriging very large datasets;kriging with outliers; nonse??parable space-time covariances;multipoint simulations; pluri-gaussian simulations; gradualdeformation; and extreme value geostatistics Newly formed connections between geostatistics and otherapproaches such as radial basis functions, Gaussian Markov randomfields, and data assimilation New perspectives on topics such as collocated cokriging, krigingwith an external drift, discrete Gaussian change-of-support models,and simulation algorithms Geostatistics, Second Edition is an excellent book for courseson the topic at the graduate level. It also serves as an invaluablereference for earth scientists, mining and petroleum engineers,geophysicists, and environmental statisticians who collect andanalyze data in their everyday work.

A Transition Probability based Approach to Geostatistical Characterization of Hydrostratigraphic Architecture

Author : Steven Farran Carle
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Integrating Collocated Auxiliary Parameters in Geostatistical Simulations Using Joint Probability Distributions and Probability Aggregation

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We propose a new cosimulation algorithm for simulating a primary attribute using one or several secondary attributes known exhaustively on the domain. This problem is frequently encountered in surface and groundwater hydrology when a variable of interest is measured only at a discrete number of locations and when the secondary variable is mapped by indirect techniques such as geophysics or remote sensing. In the proposed approach, the correlation between the two variables is modeled by a joint probability distribution function. A technique to construct such relation using underlying variables and physical laws is proposed when field data are insufficient. The simulation algorithm proceeds sequentially. At each location of the domain, two conditional probability distribution functions (cpdf) are inferred. The cpdf of the main attribute is inferred in a classical way from the neighboring data and a model of spatial variability. The second cpdf is inferred directly from the joint probability distribution function of the two attributes and the value of the secondary attribute at the location to be simulated. The two distribution functions are combined by probability aggregation to obtain the local cpdf from which a value for the primary attribute is randomly drawn. Various examples using synthetic and remote sensing data demonstrate that the method is more accurate than the classical collocated cosimulation technique when a complex relation relates the two attributes.

Geostatistical Simulations of Binary Heterogeneity and Characterizations of Transport from a Point Source in Buried valley Aquifers

Author : Robert Wesley Masters
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Proceedings

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Evaluation of Mineral Reserves

Author : Andre G. Journel
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This book addresses the practice of geostatistical simulation to evaluation of mineral reserves, prediction of recovered tonnages and mineral grades and the impact of mining dilution. Such prediction is absolutely critical for mine planning and investment decisions, yet it cannot be made on maps directly interpolated from present data. Various dilution factors need to be introduced to account for · the support effect: mining unit volumes are vastly different from composite data unit volumes · the information effect: future selection of ore/waste will be based on vastly different data than that presently available. Geostatistical simulations allow a rigorous evaluation of these effects on reserves recovery. These stochastic simulations have the potential to be for the mining industry what a wind tunnel is for aircraft design. This book is written by two expert geostatisticians--Journel is the pioneer of mining geostatistics--and established academics.

Geostatistical Simulations of the Full 3D Block Hydraulic Conductivity Tensor Considering Inner Local scale Variability

Author : N. Benoit
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Geostatistics and Petroleum Geology

Author : Michael Hohn
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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.

Proceedings

Author : James W. Warner
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Advances in Applied Strategic Mine Planning

Author : Roussos Dimitrakopoulos
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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.

Evaluation of Mineral Reserves

Author : A. G. Journel
File Size : 64.32 MB
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This book addresses the practice of geostatistical simulation to evaluation of mineral reserves, prediction of recovered tonnages and mineral grades and the impact of mining dilution. Such prediction is absolutely critical for mine planning and investment decisions, yet it cannot be made on maps directly interpolated from present data. Various dilution factors need to be introduced to account for DT the support effect: mining unit volumes are vastly different from composite data unit volumes DT the information effect: future selection of ore/waste will be based on vastly different data than that presently available. Geostatistical simulations allow a rigorous evaluation of these effects on reserves recovery. These stochastic simulations have the potential to be for the mining industry what a wind tunnel is for aircraft design. This book is written by two expert geostatisticians - Journel is the pioneer of mining geostatistics - and established academics.

Application of Computers and Operations Research in the Mineral Industry

Author : Sukumar Bandopadhyay
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Papers from a recent symposium present work in traditional areas of mineral exploration, geostatistics, production planning, and scheduling, as well as the emerging areas of information technology, e-commerce, neural networks, and geological information systems. Contributors reflect the efforts of i

Geostatistical Reservoir Modeling

Author : Michael J. Pyrcz
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A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.

Plurigaussian Simulations in Geosciences

Author : Margaret Armstrong
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Simulations are the fastest developing branch in geostatistics, and simulating the acies inside reservoirs and ore bodies is the most exciting part of this. Several methods have been developed to do this (sequential indicator simulations, Boolean methods, Markov chains and plurigaussian simulations). This book focusses on the last type of simulation. It develops the theory required to understand the method together and presents practical examples of applications in mining and petroleum, plus tutorial examples. An accompanying CD-ROM featuring demonstration software and color images complements the printed book.

Proceedings SPE Annual Technical Conference and Exhibition

Author : Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition
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Multiple point Geostatistics

Author : Professor Gregoire Mariethoz
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Canadian Journal of Fisheries and Aquatic Sciences

Author :
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Petrophysics

Author :
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