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Geostatistics Tróia ’92 : Volume 1

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Cover of 'Geostatistics Tróia ’92 : Volume 1'

Table of Contents

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    Book Overview
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    Chapter 1 Formatting and Integrating Soft Data: Stochastic Imaging via the Markov-Bayes Algorithm
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    Chapter 2 Comparison of Disjunctive Kriging to Generalized Probability Kriging in Application to the Estimation of Simulated and Real Data
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    Chapter 3 Aggregation in Geostatistical Problems
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    Chapter 4 Substitution Random Functions
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    Chapter 5 Towards a Direct Structural Analysis of an IRF-k
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    Chapter 6 Filtering Non-Linear Functions
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    Chapter 7 Probability Field Simulation
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    Chapter 8 Joint Sequential Simulation of MultiGaussian Fields
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    Chapter 9 Geostatistical Modelling of a Single Fracture
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    Chapter 10 Using the Entropy Statistic to infer Population Parameters from Spatially Clustered Sampling
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    Chapter 11 Biased Kriging on The Sphere?
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    Chapter 12 Multivariate Geostatistics: Beyond Bivariate Moments
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    Chapter 13 Parametric Surface Estimation
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    Chapter 14 How large a sample is needed to estimate the regional variogram adequately?
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    Chapter 15 Depth, Dip and Gradient
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    Chapter 16 Simulation of Random Functions on Large Lattices
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    Chapter 17 Conditioning a Gaussian model with inequalities
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    Chapter 18 Geostatistics: Roadblocks and Challenges
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    Chapter 19 Random Functions and Fracture Statistics Models
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    Chapter 20 Spatial Filtering Under the Linear Coregionalization Model
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    Chapter 21 Gravity Data Transformation by Kriging
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    Chapter 22 The Spatial Variability of Prediction Errors
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    Chapter 23 Relations Between the Indicators Related to a Regionalized Variable
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    Chapter 24 Getting Better Quality Seismic Sections
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    Chapter 25 Comparison of Several Methods of Lithofacies Simulation on the Fluvial Gypsy Sandstone of Oklahoma
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    Chapter 26 Geomathematical Modelling of a Turbiditic Reservoir in S.E. Hungary
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    Chapter 27 Constraining Stochastic Images to Seismic Data
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    Chapter 28 A New Approach for Permeability Classes Simulation in Undersampled Oil Reservoirs
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    Chapter 29 Introducing More Geology in Stochastic Reservoir Modelling
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    Chapter 30 An Integrated Approach to Reservoir Studies Using Stochastic Simulation Techniques
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    Chapter 31 Bayesian Kriging for Seismic Depth Conversion of a Multi-Layer Reservoir
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    Chapter 32 Indicator Simulation of Petrophysical Rock Types
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    Chapter 33 Sequential Modelling of Relative Indicator Variables: Dealing with Multiple Lithology Types
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    Chapter 34 Combining Fibre Processes and Gaussian Random Functions for Modelling Fluvial Reservoirs
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    Chapter 35 Indicator Principal Component Kriging: The Multivariate Case
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    Chapter 36 Modelling Reservoir Heterogeneity with Fractals
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    Chapter 37 On the Connectivity of Two Random Set Models: The Truncated Gaussian and the Boolean
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    Chapter 38 Semi-Markov Random Fields
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    Chapter 39 A Sensitivity Analysis of Geostatistical Parameters on Oil Recovery Predictions
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    Chapter 40 Conditioning Reservoir Models to Well Test Information
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    Chapter 41 Reservoir Characterization with Seismic Data Using Pattern Recognition and Spatial Statistics
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    Chapter 42 Sequential Gaussian Cosimulation: A Simulation Method Integrating Several Types of Information
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    Chapter 43 Including a Regional Trend in Reservoir Modelling Using the Truncated Gaussian Method
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    Chapter 44 Analysis of Quasi-Periodic Time Series by a Geostatistical Method with Application to Climatology
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    Chapter 45 Kriging Temperature in Scotland using the External Drift Method
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    Chapter 46 Climatological Identification of the Non-Stationarities of Intermittent Precipitation Fields
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    Chapter 47 Forecasting Gypsy Moth Defoliation with Indicator Kriging
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    Chapter 48 Conditional Simulation: Practical Application for Sampling Design Optimization
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    Chapter 49 Predicting Probability Maps of Air Pollution Concentration: A Case Study on Barreiro/Seixal Industrial Area
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    Chapter 50 Modelling of Map Impurities Using Sequential Indicator Simulation
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    Chapter 51 Particulate Stack Emissions from Coal Fired Power Stations
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    Chapter 52 Kriging the Rainfall in Lesotho
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    Chapter 53 Probability Kriging as a Decision Support Tool for Local Soil Pollution Problems
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    Chapter 54 Non Linear Approach to the Marine Intrusion Process Modelling
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    Chapter 55 Evaluating the Uncertainty of Leakage Rates of Tejo and Sado Groundwater System
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    Chapter 56 Geostatistics to Assist Hydrographic Survey Design
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    Chapter 57 Estimation of Spatial Cross-Covariances by Maximum Likelihood Cross-Covalidation: Application to Hydraulic Heads and Transmissivities in a Sandy Aquifer
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    Chapter 58 Spatial structure of hydraulic conductivity in various porous media — problems and experiences
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    Chapter 59 Study of Spatial and Temporal Variations of Hydrogeochemical Variables Using Factorial Kriging Analysis
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    Chapter 60 Channel Tunnel: Geostatistical Prediction Facing the Ordeal of Reality
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    Chapter 61 Regularization of Hydraulic Conductivities: A Numerical Approach
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    Chapter 62 Geostatistical Formulations of Groundwater Coupled Inverse Problems
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    Chapter 63 Multivariate Geostatistics for Soil Classification
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    Chapter 64 Geostatistical Interpolation of Curves: A Case Study in Soil Science
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    Chapter 65 Quantitative Study of an Evolutionary Soil Sequence
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    Chapter 66 Classification of High Spectral Resolution Imagery Using an Indicator Kriging Based Technique
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    Chapter 67 Spatial Interpolation of Soil Moisture Data with Universal Cokriging
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    Chapter 68 Application of Correspondence Analysis and Factorial Kriging Analysis: A Case Study on Geochemical Exploration
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    Chapter 69 Assessing Similarities and Differences Among Maps: A Study of Temporal Changes in Distribution of Northern Shrimp ( Pandalus Borealis ) in the Gulf of St.Lawrence
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    Chapter 70 Using Geostatistics for Forest Inventory with Air Cover: An Example
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    Chapter 71 Geostatistical Estimation of Animal Abundance in the Kruger National Park, South Africa
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    Chapter 72 Estimating the Risk of Childhood Cancer
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    Chapter 73 Some Epidemiologic Applications of Kriging
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    Chapter 74 Geological and Structural Control in Kriging
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    Chapter 75 The Development of an Integrated Evaluation System for a Witwatersrand Gold Mine
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    Chapter 76 Sampling of Orebodies with a Highly Dispersed Mineralization
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    Chapter 77 Indicator Approach to Characterize Fracture Spatial Distribution in Shear Zones
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    Chapter 78 Conditional Simulation: A Mine Planning Tool for a Small Gold Deposit
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    Chapter 79 Geostatistical Tools for the Determination of Fundamental Sampling Variances and Minimum Sample Masses
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    Chapter 80 Hole Effects in Diamond Cores from Palabora
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    Chapter 81 Simulation of Medium and Short Term Mine Production Scheduling Using Geostatistical Modelling
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    Chapter 82 Geostatistical Estimation of a Summary Recovery Index for Marble Quarries
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    Chapter 83 Coal Preparation and Geostatistics — A Blend of Technologies to Forecast Clean Coal Qualities
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    Chapter 84 Estimating the Recoverable Reserves of Gold Deposits: Comparison Between Disjunctive Kriging and Indicator Kriging
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    Chapter 85 A Case Study on the Application of Geostatistics and Image Analysis to Mine Planning
Attention for Chapter 8: Joint Sequential Simulation of MultiGaussian Fields
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Chapter title
Joint Sequential Simulation of MultiGaussian Fields
Chapter number 8
Book title
Geostatistics Tróia ’92
Published by
Springer, Dordrecht, January 1993
DOI 10.1007/978-94-011-1739-5_8
Book ISBNs
978-0-7923-2157-6, 978-9-40-111739-5
Authors

J. Jaime Gómez-Hernández, André G. Journel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
France 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 36%
Student > Ph. D. Student 15 32%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Professor > Associate Professor 3 6%
Other 2 4%
Unknown 1 2%
Readers by discipline Count As %
Earth and Planetary Sciences 21 45%
Engineering 10 21%
Mathematics 4 9%
Environmental Science 4 9%
Agricultural and Biological Sciences 2 4%
Other 4 9%
Unknown 2 4%