Geostatistics Wollongong &96. 1 (1997)Ernest Y. Baafi, Neil A. Schofield The papers in this volume provide a comprehensive account of the current methods and work in geostatistics, including recent theoretical developments and applications. Topics featured include: stochastic simulations, space-time modelling, and Bayesian framework. |
Contents
The Abuse of Principles in Model Building and the Quest for Objectivity | 3 |
Issues on Environmental Risk Assessment | 15 |
HYDROLOGY | 26 |
Iterative Algorithms for Conditional Simulations | 27 |
Petroleum Geostatistics | 41 |
Where is it Going? | 53 |
Selectivity Studies on Multivariables under Constraint in an Indian Iron | 56 |
INDEX 1329 | 59 |
Taking Account of Uncertainty in Spatial Covariance Estimation | 302 |
P S N Murthy 851 | 313 |
Could Radial Basis Function Estimator Replace Ordinary Kriging? | 314 |
A MultiStep Approach for Modelling Oil Reservoir Lithologies and Petro | 327 |
Application of Factorial Kriging to Improve Seismic Data Integration | 350 |
Integration of Seismic Derived Information in Reservoir Stochastic Modelling | 374 |
Estimating Gold Reserves at Different Stages | 381 |
Modeling of Facies Architecture by Marked Point Models | 386 |
Kriging with Soft Unbiasedness | 69 |
Kriging and Mass Balance | 80 |
Deriving Conditional Distributions from Ordinary Kriging | 92 |
Direct Assessment of Local Accuracy and Precision | 102 |
Statistical Declustering and Convex Estimation Using Determinant | 103 |
Taking Boundary | 114 |
Spatial Statistical Analysis and its Consequences for Spatial Sampling | 126 |
Joint SpaceTime Modelling in the Presence of Trends | 138 |
ENVIRONMENT | 149 |
B E Buxton and A D Pate | 152 |
Developments in the Modelling of Nonstationary Spatial Covariance Structure | 162 |
OTHER APPLICATIONS | 175 |
Bootstrapping Variograms | 188 |
On the Inference of the Boolean Model | 200 |
G Le Loch and A Galli | 211 |
Variogram Estimation in a Bayesian Framework | 223 |
The Impact of the Choice of the Prior Distribution on the Solution of Inverse | 234 |
Global Estimation Variance in Presence of Conditioning Parameters | 246 |
Discrete Exact Simulation by the Fourier Method | 258 |
Inverse Conditional Simulation | 282 |
A G Journel | 292 |
Stochastic Modeling and Simulation of Small Faults by Marked Point | 398 |
Theory and Applications Related | 413 |
Marked Point Models for Facies Units Conditioned on Well Data | 415 |
E Gringarten | 426 |
Simulation of Naturally Fractured Fields | 433 |
Stochastic Reservoir Characterization Conditioned on Seismic Data | 442 |
Selecting Panels for Remediation in Contaminated Soils | 453 |
Conditioning a Fluvial Model on Seismic Data | 465 |
Stochastic Characterisation of Fluvial Sand Channels | 477 |
Support Effects | 489 |
Modelling the Spatial Variability of the Undrained Shear Strength of Clay | 500 |
Stochastic Reservoir Modelling Constrained by Well Test Permeabilities | 501 |
Direct Simulation of Effective Modeling Cell | 541 |
The Impact of Upscaling Techniques in the Geostatistical Characterisation of | 551 |
An Overview of Different Techniques to Quantify Uncertainities on Global | 572 |
Uncertainity Assessment in History Matching and Forecasting | 587 |
A Probabilistic Approach | 597 |
Bayesian Disjunctive Kriging Applied to Prediction of Reservoir Volume | 609 |
Using Stratification and Residual Kriging to Map Soil Pollution | 633 |
A Complex SandShale Facies Model Conditioned on Observations from | 634 |
Common terms and phrases
1997 Kluwer Academic analysis anisotropy approach average Baafi and N.A. Bayesian bias bootstrap calculated channels cokriging computed conditional simulation configuration considered correlation correlation function covariance functions cross-validation D-plane data set declustering defined density E.Y. Baafi equation error example experimental facies fault field Figure fracture Gaussian Gaussian fields gaussian functions geological Geostatistics Geostatistics Wollongong 96 global grid histogram interval Journel Kluwer Academic Publishers likelihood function linear lithotype locations Markov chain matrix mean measurements method model parameters multi-Gaussian N.A. Schofield eds nodes Norwegian Computing Center observations obtained Omre ordinary kriging P.O. Box permeability porosity posterior prediction prediction interval predictor probability distribution problem procedure proportion random function realizations reservoir characteristics RF model sample variogram sampling scale seismic seismic data shale simulated annealing simulation algorithm spatial stationary statistics stochastic model structure uncertainty values variable variance variogram model vector velocity vertical weights Wollongong
References to this book
Environmental Soil-Landscape Modeling: Geographic Information Technologies ... Sabine Grunwald No preview available - 2016 |