Ebook: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

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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.

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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.

Content:
Front Matter....Pages i-xxi
Front Matter....Pages xxiii-xxiii
A Review of Automated First-Break Picking and Seismic Trace Editing Techniques....Pages 1-12
Automated Picking of Seismic First-Arrivals with Neural Networks....Pages 13-30
Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networks....Pages 31-44
Seismic Horizon Picking Using a Hopfield Network....Pages 45-56
Refinement of Deconvolution by Neural Networks....Pages 57-70
Identification and Suppression of Multiple Reflections in Marine Seismic Data with Neural Networks....Pages 71-88
Application of Artificial Neural Networks to Seismic Waveform Inversion....Pages 89-101
Seismic Principal Components Analysis Using Neural Networks....Pages 103-122
Front Matter....Pages 123-123
Fuzzy Classification for Lithology Determination from Well Logs....Pages 125-142
Reservoir Property Estimation Using the Seismic Waveform and Feedforword Neural Networks....Pages 143-156
An Information Integrated Approach for Reservoir Characterization....Pages 157-178
An Artificial Neural Network Method for Mineral Prospectivity Mapping: A Comparison with Fuzzy Logic and Bayesian Probability Methods....Pages 179-196
Oil Reservoir Porosity Prediction Using a Neural Network Ensemble Approach....Pages 197-213
Interpretation of Shallow Stratigraphic Facies Using a Self-Organizing Neural Network....Pages 215-230
Neural Network Inversion of EM39 Induction Log Data....Pages 231-249
Front Matter....Pages 251-251
Interpretation of Airborne Electromagnetic Data with Neural Networks....Pages 253-265
Front Matter....Pages 267-267
Integrated Processing and Imaging of Exploration Data: An Application of Fuzzy Logic....Pages 269-285
Application of Multilayer Perceptrons to Earthquake Seismic Analysis....Pages 287-304
Back Matter....Pages 305-325

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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.

Content:
Front Matter....Pages i-xxi
Front Matter....Pages xxiii-xxiii
A Review of Automated First-Break Picking and Seismic Trace Editing Techniques....Pages 1-12
Automated Picking of Seismic First-Arrivals with Neural Networks....Pages 13-30
Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networks....Pages 31-44
Seismic Horizon Picking Using a Hopfield Network....Pages 45-56
Refinement of Deconvolution by Neural Networks....Pages 57-70
Identification and Suppression of Multiple Reflections in Marine Seismic Data with Neural Networks....Pages 71-88
Application of Artificial Neural Networks to Seismic Waveform Inversion....Pages 89-101
Seismic Principal Components Analysis Using Neural Networks....Pages 103-122
Front Matter....Pages 123-123
Fuzzy Classification for Lithology Determination from Well Logs....Pages 125-142
Reservoir Property Estimation Using the Seismic Waveform and Feedforword Neural Networks....Pages 143-156
An Information Integrated Approach for Reservoir Characterization....Pages 157-178
An Artificial Neural Network Method for Mineral Prospectivity Mapping: A Comparison with Fuzzy Logic and Bayesian Probability Methods....Pages 179-196
Oil Reservoir Porosity Prediction Using a Neural Network Ensemble Approach....Pages 197-213
Interpretation of Shallow Stratigraphic Facies Using a Self-Organizing Neural Network....Pages 215-230
Neural Network Inversion of EM39 Induction Log Data....Pages 231-249
Front Matter....Pages 251-251
Interpretation of Airborne Electromagnetic Data with Neural Networks....Pages 253-265
Front Matter....Pages 267-267
Integrated Processing and Imaging of Exploration Data: An Application of Fuzzy Logic....Pages 269-285
Application of Multilayer Perceptrons to Earthquake Seismic Analysis....Pages 287-304
Back Matter....Pages 305-325
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