Soft Computing for Reservoir Characterization and Modeling (Hardcover, 2002)

Intelligent Reservoir Characterization.- 1. Seismic Characterization.- Prediction of Reservoir Properties by Monte Carlo Simulation and Artificial Neural Network in the Exploration Stage.- Application of Neural Networks in Determining Petrophysical Properties from Seismic Survey.- Mapping the Gas Column in an Aquifer Gas Storage with Neural Network Techniques.- Interval and Fuzzy Kriging Techniques Applied to Geological and Geophysical Variables.- Application of Self-Organizing Feature Maps to Reservoir Characterization.- 2. Well Logging.- Taking One Step Forward in Reservoir Characterization Using Artificial Neural Networks.- Inverting SP Logs Using Artificial Neural Networks and the Application in Reservoir Characterization.- Predicting Petrophysical Parameters in a Fuzzy Environment.- The Application of Fuzzy Logic and Genetic Algorithms to Reservoir Characterization and Modeling.- The Use of Soft Computing Techniques as Data Preprocessing and Postprocessing in Permeability Determination from Well Log Data.- A New Technique to Estimate the Hydrocarbon Saturation in Shaly Formations: A Field Example in the Bahariya Formation, Egypt.- 3. Numerical Geology.- Automated Reconstruction of a Basin Thermal History with Integrated Paleothermometry and Genetic Algorithm.- An Automatic Geophysical Inversion Procedure Using a Genetic Algorithm.- Statistical Pattern Recognition and Geostatistical Data Integration.- How to Improve Reservoir Characterization Models Using Intelligent Systems.- Regional Upscaling: A New Method to Upscale Heterogeneous Reservoirs for a Range of Force Regimes.- 4. Advanced Algorithms.- New Uncertainty Measures for Predicted Geological Properties from Seismic Attribute Calibration.- Rule Induction Algorithm for Application to Geological and Petrophysical Data.- Joint Lithologic Inversion.- Support Vector Machines for Classification and Mapping of Reservoir Data.- Non-parametric Covariance Modeling Using Fast Fourier Transform.- About the Editors.