Geophysical Applications of Artificial Neural Networks and Fuzzy Logic / Edition 1by W. Sandham
Pub. Date: 11/28/2003
Publisher: Springer Netherlands
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,
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.
Table of ContentsSection 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.
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