Soft Computing for Reservoir Characterization and Modeling / Edition 1

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The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes.
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Product Details

Table of Contents

Intelligent Reservoir Characterization 3
Pt. 1 Seismic Characterization
Prediction of Reservoir Properties by Monte Carlo Simulation and Artificial Neural Network in the Exploration Stage 15
Application of Neural Networks in Determining Petrophysical Properties from Seismic Survey 35
Mapping the Gas Column in an Aquifer Gas Storage with Neural Network Techniques 57
Interval and Fuzzy Kriging Techniques Applied to Geological and Geophysical Variables 73
Application of Self-Organizing Feature Maps to Reservoir Characterization 105
Pt. 2 Well Logging
Taking One Step Forward in Reservoir Characterization Using Artificial Neural Networks 129
Inverting SP Logs Using Artificial Neural Networks and the Application in Reservoir Characterization 161
Predicting Petrophysical Parameters in a Fuzzy Environment 183
The Application of Fuzzy Logic and Genetic Algorithms to Reservoir Characterization and Modeling 219
The Use of Soft Computing Techniques as Data Preprocessing and Postprocessing in Permeability Determination from Well Log Data 243
A New Technique to Estimate the Hydrocarbon Saturation in Shaly Formations: A Field Example in the Bahariya Formation, Egypt 273
Pt. 3 Numerical Geology
Automated Reconstruction of a Basin Thermal History with Integrated Paleothermometry and Genetic Algorithm 313
An Automatic Geophysical Inversion Procedure Using a Genetic Algorithm 331
Statistical Pattern Recognition and Geostatistical Data Integration 355
How to Improve Reservoir Characterization Models Using Intelligent Systems 387
Regional Upscaling: A New Method to Upscale Heterogeneous Reservoirs for a Range of Force Regimes 419
Pt. 4 Advanced Algorithms
New Uncertainty Measures for Predicted Geological Properties from Seismic Attribute Calibration 465
Rule Induction Algorithm for Application to Geological and Petrophysical Data 481
Joint Lithologic Inversion 511
Support Vector Machines for Classification and Mapping of Reservoir Data 531
Non-parametric Covariance Modeling Using Fast Fourier Transform 559
About the Editors 587
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