Geostatistics Banff 2004 [electronic resource] / edited by Oy Leuangthong, Clayton V. Deutsch.

From the contents Plenary - Accounting for Geological Boundaries for Simulation in Geostatistical Modeling of Multiple Rock Types (P. Larrondo and C.V. Deutsch) -- Data Integration using the Probability Perturbation Method (J. Caers) -- Spectral Component Geologic Modeling: A New Technology for Integrating Seismic Information at the Correct Scale (T. Yao, C. Calvert, G. Bishop, T. Jones, Y. Ma and L. Foreman) -- Joint Simulations, Optimal Drillhole Spacing and the Role of the Stockpile (A. Boucher, R. Dimitrakopoulos and J. A. Vargas-Guzmán) -- Theory of the Cloud Transform for Applications (O. Kolbjørnsen and P. Abrahamsen) -- P-field Simulation: A Retrospective (R. M. Srivastava and R. Froidevaux) -- Sequential Spatial Simulation Using Latin Hypercube Sampling (P. C. Kyriakidis) -- Field Scale Stochastic Modeling of Fracture Networks: Combining Pattern Statistics with Geomechanical Criteria for Fracture Growth (X. Liu and S. Srinivasan) -- Direct Geostatistical Simulation on Unstructured Grids (J. Manchuk, O. Leuangthong and C. V. Deutsch) -- Beyond Covariance: The Advent of Multiple-Point Geostatistics (A. G. Journel) -- Non-Stationary Multiple-Point Geostatistical Models (S. Strebelle and T. Zhang) -- A Workflow for Multiple-Point Geostatistical Simulation (Y. Liu, A. Harding, R. Gilbert and A. G. Journel) -- A Multiple-scale, Pattern-based Approach to Sequential Simulation (B. G. Arpat and J. Caers).

The conference proceedings consist of approximately 120 technical papers presented at the Seventh International Geostatistics Congress held in Banff, Alberta, Canada in 2004. All the papers were reviewed by an international panel of leading geostatisticians. The five major sections are: theory, mining, petroleum, environmental and other applications. The first section showcases new and innovative ideas in the theoretical development of geostatistics as a whole; these ideas will have large impact on (1) the directions of future geostatistical research, and (2) the conventional approaches to heterogeneity modelling in a wide range of natural resource industries. The next four sections are focused on applications and innovations relating to the use of geostatistics in specific industries. Historically, mining, petroleum and environmental industries have embraced the use of geostatistics for uncertainty characterization, so these three industries are identified as major application areas. The last section is open for innovative geostatistical application to address the issues and impact of uncertainty in other industries. Audience Researchers and practitioners both in industry and academia, working in the fields of geology, petroleum, mining, and environmental science and engineering.