Geophysical Applications of Artificial Neural Networks and Fuzzy Logic (Modern Approaches in Geophysics) Book

	List of Contributors
	Preface
	Special Preface
1	A Review of Automated First-Break Picking and Seismic Trace Editing Techniques	1
2	Automated Picking of Seismic First-Arrivals with Neural Networks	13
3	Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networks	31
4	Seismic Horizon Picking Using a Hopfield Network	45
5	Refinement of Deconvolution by Neural Networks	57
6	Identification and Suppression of Multiple Reflections in Marine Seismic Data with Neural Networks	71
7	Application of Artificial Neural Networks to Seismic Waveform Inversion	89
8	Seismic Principal Components Analysis Using Neural Networks	103
9	Fuzzy Classification for Lithology Determination from Well Logs	125
10	Reservoir Property Estimating Using the Seismic Waveform and Feedforward Neural Networks	143
11	An Information Integrated Approach for Reservoir Characterisation	157
12	An Artificial Neural Network Method for Mineral Prospectivity Mapping: A Comparison with Fuzzy Logic and Bayesian Probability Methods	179
13	Oil Reservoir Porosity Prediction Using a Neural Network Ensemble Approach	197
14	Interpretation of Shallow Stratigraphic Facies Using a Self-Organizing Neural Network	215
15	Neural Network Inversion of EM39 Induction Log Data	231
16	Interpretation of Airborne Electromagnetic Data with Neural Networks	253
17	Integrated Processing and Imaging of Exploration Data: An Application of Fuzzy Logic	269
18	Application of Multilayer Perceptrons to Earthquake Seismic Analysis	287
	Bibliography	307