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This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology.
The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics.
The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.
Section A Exploration Seismology.- 1 A Review of Automated First-Break Picking and Seismic Trace Editing Techniques.- 2 Automated Picking of Seismic First-Arrivals with Neural Networks.- 3 Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networks.- 4 Seismic Horizon Picking Using a Hopfield Network.- 5 Refinement of Deconvolution by Neural Networks.- 6 Identification and Suppression of Multiple Reflections in marine Seismic Data with Neural Networks.- 7 Application of Artificial Neural Networks to Seismic Waveform Inversion.- 8 Seismic Principal Components Analysis Using Neural Networks.- Section B Lithology, Well Logs, Prospectivity Mapping and Reservoir Characterisation.- 9 Fuzzy Classification for Lithology Determination from Well Logs.- 10 Reservoir Property Estimation Using the Seismic Waveform and Feedforward Neural Networks.- 11 An Information Integrated Approach for Reservoir Characterisation.- 12 An Artificial Neural Network Method for Mineral Prospectivity Mapping: A Comparison with Fuzzy Logic and Bayesian Probability Methods.- 13 Oil Reservoir Porosity Prediction Using a Neural Network Ensemble Approach.- 14 Interpretation of Shallow Stratigraphic Facies Using a Self-Organizing Neural Network.- 15 Neural Network Inversion of EM39 Induction Log Data.- Section C Electromagnetic Exploration.- 16 Interpretation of Airborne Electromagnetic Data with Neural Networks.- Section D Other Geophysical Applications.- 17 Integrated Processing and Imaging of Exploration Data: An Application of Fuzzy Logic.- 18 Application of Multilayer Perceptrons to Earthquake Seismic Analysis.