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Soft Computing for Reservoir Characterization and Modeling

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.

Table of contents :

Front Matter....Pages I-XVII

Intelligent Reservoir Characterization....Pages 3-12

Front Matter....Pages 13-13

Prediction of Reservoir Properties by Monte Carlo Simulation and Artificial Neural Network in the Exploration Stage....Pages 15-33

Application of Neural Networks in Determining Petrophysical Properties from Seismic Survey....Pages 35-55

Mapping the Gas Column in an Aquifer Gas Storage with Neural Network Techniques....Pages 57-71

Interval and Fuzzy Kriging Techniques Applied to Geological and Geophysical Variables....Pages 73-103

Application of Self-Organizing Feature Maps to Reservoir Characterization....Pages 105-126

Front Matter....Pages 127-127

Taking One Step Forward in Reservoir Characterization Using Artificial Neural Networks....Pages 129-160

Inverting SP Logs Using Artificial Neural Networks and the Application in Reservoir Characterisation....Pages 161-181

Predicting Petrophysical Parameters in a Fuzzy Environment....Pages 183-217

The Application of Fuzzy Logic and Genetic Algorithms to Reservoir Characterization and Modeling....Pages 219-241

The Use of Soft Computing Techniques as Data Preprocessing and Postprocessing in Permeability Determination from Well Log Data....Pages 243-271

A New Technique to Estimate the Hydrocarbon Saturation in Shaly Formations: A Field Example in the Bahariya Formation, Egypt....Pages 273-309

Front Matter....Pages 311-311

Automated Reconstruction of a Basin Thermal History with Integrated Paleothermometry and Genetic Algorithm....Pages 313-329

An Automatic Geophysical Inversion Procedure Using a Genetic Algorithm....Pages 331-353

Statistical Pattern Recognition and Geostatistical Data Integration....Pages 355-386

How to Improve Reservoir Characterization Models Using Intelligent Systems....Pages 387-417

Regional Upscaling: a New Method to Upscale Heterogeneous Reservoirs for a Range of Force Regimes....Pages 419-461

Front Matter....Pages 463-463

New Uncertainty Measures for Predicted Geologic Properties from Seismic Attribute Calibration....Pages 465-480

Rule Induction Algorithm for Application to Geological and Petrophysical Data....Pages 481-510

Joint Lithologic Inversion....Pages 511-530

Front Matter....Pages 463-463

Support Vector Machines for Classification and Mapping of Reservoir Data....Pages 531-558

Non-parametric Covariance Modeling Using Fast Fourier Transform....Pages 559-584

Back Matter....Pages 585-586