This paper presents an overview of soft computing techniques for reservoir characterization. The key techniques include neurocomputing, fuzzy logic and evolutionary computing. A number of documented studies show that these intelligent techniques are good candidates for seismic data processing and characterization, well logging, reservoir mapping and engineering. Future research should focus on the integration of data and disciplinary knowledge for improving our understanding of reservoir data and reducing our prediction uncertainty.

Keywords:
artificial intelligence, computing, fuzzy logic, permeability, neuron, reservoir characterization, neural network, information, porosity, well log
Subjects:
Reservoir Characterization, Reservoir Fluid Dynamics, Formation Evaluation & Management, Information Management and Systems, Exploration, development, structural geology, Geologic modeling, Seismic processing and interpretation, Flow in porous media, Open hole/cased hole log analysis, Core analysis
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Copyright 2000, Society of Petroleum Engineers
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