Geostatistics Oslo 2012

by Abrahamsen, Petter

Type Book

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Title Statements

Full title :Geostatistics Oslo 2012 / edited by Petter Abrahamsen, Ragnar Hauge, Odd Kolbjørnsen.

Summary

This book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics. The book is divided into four main sections: Theory; Petroleum; Mining; and Environment, Climate and Hydrology. The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on the particular needs of the particular industry or activity. Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planning of future industrial operations. Geostatistics is also an important tool for mapping environmental hazard and integrating climate data.

Edition Statements

Publication Date:2012.

Publication Statements

Publisher(s):Springer Netherlands
Place of Publication:Dordrecht
Language:eng
Publication Date:2012.

The Physical Object

Description:1 online resource (XIV, 559 pages 289 illustrations, 151 illustrations in color.) : : online resource.

Edition Identifiers

ISBN:9789400741539, 9400741537, 9789400741522, 9400741529
DOI:10.1007/978-94-007-4153-9
oclc:ocn885447808
LC Classification:TA703-705.4
Dewey Decimal:553.072/7

Foreword -- Preface -- Acknowledgements -- Part I Theory -- Sequential simulation with iterative methods -- Applications of randomized methods for decomposing and simulating from large covariance matrices -- Event-based geostatistical modeling: description and applications -- A plurigaussian model for simulating regionalized compositions -- New flexible non-parametric data transformation for trans-Gaussian kriging -- Revisiting the linear model of coregionalisation -- Modeling nonlinear beta probability fields -- Approximations of high-order spatial statistics through decomposition -- Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer -- The edge effect in geostatistical simulations -- Extensions of the parametric inference of spatial covariances by maximum likelihood -- Part II Petroleum -- Constraining a heavy oil reservoir to temperature and time lapse seismic data using the EnKF -- Micro-modeling for enhanced small scale porosity-permeability relationships -- Applications of data coherency for data analysis and geological zonation -- Multiscale modeling of fracture network in a carbonate reservoir -- Uncertainty qu…