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Geostatistics Oslo 2012

  • Book
  • © 2012

Overview

Editors:
  1. Petter Abrahamsen

    1. Norwegian Computing Center, Oslo, Norway

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  2. Ragnar Hauge

    1. Norwegian Computing Center, Oslo, Norway

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  3. Odd Kolbjørnsen

    1. Norwegian Computing Center, Oslo, Norway

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  • Collection of state-of-the-art scientific work within Geostatistics
  • Contains new and innovative ideas in theoretical developments of Geostatistics
  • A broad selection of novel geostatistical methods applied to various problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Quantitative Geology and Geostatistics (QGAG, volume 17)

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Table of contents (44 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Theory

    1. Front Matter

      Pages 1-1
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    2. Sequential Simulation with Iterative Methods

      • Daisy Arroyo, Xavier Emery, María Peláez
      Pages 3-14

    3. Applications of Randomized Methods for Decomposing and Simulating from Large Covariance Matrices

      • Vahid Dehdari, Clayton V. Deutsch
      Pages 15-26

    4. Event-Based Geostatistical Modeling: Description and Applications

      • Michael J. Pyrcz, Timothy McHargue, Julian Clark, Morgan Sullivan, Sebastien Strebelle
      Pages 27-38

    5. A Plurigaussian Model for Simulating Regionalized Compositions

      • Xavier Emery, Ignacio Gálvez
      Pages 39-50

    6. New Flexible Non-parametric Data Transformation for Trans-Gaussian Kriging

      • Alexander Gribov, Konstantin Krivoruchko
      Pages 51-65

    7. Revisiting the Linear Model of Coregionalization

      • Denis Marcotte
      Pages 67-78

    8. Modeling Nonlinear Beta Probability Fields

      • K. Daniel Khan, J. A. Vargas-Guzman
      Pages 79-90

    9. Approximations of High-Order Spatial Statistics Through Decomposition

      • Ryan Goodfellow, Hussein Mustapha, Roussos Dimitrakopoulos
      Pages 91-102

    10. Multiple-Point Geostatistical Simulation Based on Genetic Algorithms Implemented in a Shared-Memory Supercomputer

      • Oscar Peredo, Julián M. Ortiz
      Pages 103-114

    11. The Edge Effect in Geostatistical Simulations

      • Chaoshui Xu, Peter A. Dowd
      Pages 115-127

    12. Extensions of the Parametric Inference of Spatial Covariances by Maximum Likelihood

      • Peter A. Dowd, Eulogio Pardo-Igúzquiza
      Pages 129-141

  3. Petroleum

    1. Front Matter

      Pages 143-143
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    2. Constraining a Heavy Oil Reservoir to Temperature and Time Lapse Seismic Data Using the EnKF

      • Yevgeniy Zagayevskiy, Amir H. Hosseini, Clayton V. Deutsch
      Pages 145-158

    3. Micro-modeling for Enhanced Small Scale Porosity-Permeability Relationships

      • Jeff B. Boisvert, John G. Manchuk, Chad Neufeld, Eric B. Niven, Clayton V. Deutsch
      Pages 159-171

    4. Applications of Data Coherency for Data Analysis and Geological Zonation

      • John G. Manchuk, Clayton V. Deutsch
      Pages 173-184

    5. Multiscale Modeling of Fracture Network in a Carbonate Reservoir

      • Sanjay Srinivasan, Ankesh Anupam
      Pages 185-196

    6. Uncertainty Quantification and Feedback Control Using a Model Selection Approach Applied to a Polymer Flooding Process

      • Sanjay Srinivasan, Cesar Mantilla
      Pages 197-208

    7. Efficient Conditional Simulation of Spatial Patterns Using a Pattern-Growth Algorithm

      • Yu-Chun Huang, Sanjay Srinivasan
      Pages 209-220
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Keywords

About this book

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.

Editors and Affiliations

  • Norwegian Computing Center, Oslo, Norway

    Petter Abrahamsen, Ragnar Hauge, Odd Kolbjørnsen

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