Geostatistics Tr?a '92: Volume 1 & 2 (Paperback, Softcover Repri)

Theory.- Formatting and Integrating Soft Data: Stochastic Imaging Via the Markov-Bayes Algorithm .- Comparison of Disjunctive Kriging to Generalized Probability Kriging in Application to the Estimation of Simulated and Real Data .- Aggregation in Geostatistical Problems .- Substitution Random Functions .- Towards a Direct Structural Analysis of an IRF-k .- Filtering Non-Linear Functions .- Probability Field Simulation .- Joint Sequential Simulation of MultiGaussian Fields .- Particulate Stack Emissions from Coal Fired Power Stations .- Using the Entropy Statistic to Infer Population Parameters from Spatially Clustered Sampling .- Biased Kriging on the Sphere? .- Multivariate Geostatistics: Beyond Bivariate Moments .- Parametric Surface Estimation .- How Large a Sample Is Needed to Estimate the Regional Variogram Adequately? .- Depth, Dip and Gradient .- Simulation of Random Functions on Large Lattices .- Conditioning a Gaussian Model with Inequalities .- Geostatistics: Roadblocks and Challenges .- Random Functions and Fracture Statistics Models .- Spatial Filtering Under the Linear Coregionalization Model .- Gravity Data Transformation by Kriging .- The Spatial Variability of Prediction Errors .- Relations Between the Indicators Related to a Regionalized Variable .- Petroleum.- Getting Better Quality Seismic Sections .- Comparison of Several Methods of Lithofacies Simulation on the Fluvial Gypsy Sandstone of Oklahoma .- Geomathematical Modelling of a Turbiditic Reservoir in S.E.Hungary .- Constraining Stochastic Images to Seismic Data .- A New Approach for Permeability Classes Simulation in Undersampled Oil Reservoirs .- Introducing More Geology in Stochastic Reservoir Modelling .- An Integrated Approach to Reservoir Studies Using Stochastic Simulation Techniques .- Bayesian Kriging for Seismic Depth Conversion of a Multi-Layer Reservoir .- Indicator Simulation of Petrophysical Rock Types .- Sequential Modelling of Relative Indicator Variables: Dealing with Multiple Lithology Types .- Combining Fibre Processes and Gaussian Random Functions for Modelling Fluvial Reservoirs .- IndicatorPrincipal Component Kriging: The Multivariate Case .- Modelling Reservoir Heterogeneity with Fractals .- On the Connectivity of Two Random Set Models: The Truncated Gaussian and the Boolean .- Semi-Markov Random Fields .- A Sensitivity Analysis of Geostatistical Parameters on Oil Recovery Predictions .- Conditioning Reservoir Models to Well Test Information .- Reservoir Characterization with Seismic Data using Pattern Recognition and Spatial Statistics .- Sequential Gaussian Co-Simulation: A Simulation Method Integrating Several types of Information .- Including a Regional Trend in Reservoir Modelling using the Truncated Gaussian Method .- Other Applications.- Environment.- Analysis of Quasi-Periodic Time Series by a Geostatistical Method with Application to Climatology .- Kriging Temperature in Scotland Using the External Drift Method .- Climatological Identification of the Non-Stationarities of Intermittent Precipitation Fields .- Forecasting Gypsy Moth Defoliation with Indicator Kriging .- Conditional Simulation: Practical Application for Sampling Design Optimization .- Predicting Probability Maps of Air Pollution Concentration: A Case Study on Barreiro/Seixal Industrial Area .- Modelling of Map Impurities Using Sequential Indicator Simulation .- Paniculate Stack Emissions from Coal Fired Power Stations .- Kriging the Rainfall in Lesotho .- Probability Kriging as a Decision Support Tool for Local Soil Pollution Problems .- Non Linear Approach to the Marine Intrusion Process Modelling .- Hydrology.- Evaluating the Uncertainty of Leakage Rates of Tejo and Sado Groundwater System .- Geostatistics to Assist Hydrographic Survey Design .- Estimation of Spatial Cross-Covariances by Maximum Likelihood Cross-Covalidation: Application to Hydraulic Heads and Transmissivities in a Sandy Aquifer .- Spatial Structure of Hydraulic Conductivity in Various