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OverviewFull Product DetailsAuthor: Mark G. KerznerPublisher: Springer Imprint: Kluwer Academic Publishers Edition: 1986 ed. Weight: 0.350kg ISBN: 9789027722522ISBN 10: 9027722528 Pages: 160 Publication Date: July 1986 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of Contents1. An Overview.- Depth Matching.- Dipmeter Computation.- Dipmeter Postprocessing.- Detection of Dipmeter Patterns.- Log Blocking.- Computation of Primary and Shear Wave Velocity Logs.- Problems Not Yet Solved.- References.- For Further Reading.- 2. The Minimization Principle.- Initial Formulation.- Modified Formulation.- Discussion of the Principle.- Conclusion.- 3. Computing the Shear Wave Velocity Log: Curve Detection in Noisy Pictures.- The Sonic Tool and the Full Waveform Log.- Detection of Shear Wave Arrival.- Selection of Correct Log Values.- An Image-Processing Interpretation.- Log Despiking.- Conclusion.- References.- 4. Dipmeter Correlation: A Pattern-Matching Problem.- The Dipmeter Tool.- Manual Processing of Dipmeter Logs.- Computer Processing of Dipmeter Logs.- Activity.- Segmentation of Dipmeter Curves.- Correlation Using the Minimization Principle.- Correlation Using Syntactic Pattern Recognition.- Fixed-Interval Correlation.- Conclusion.- References.- 5. Depth Matching: A Pattern-Matching Problem.- Depth Errors.- Manual Depth Correction of Logs.- An Interactive Algorithm.- An Algorithm Based on the Minimization Principle.- A Physical Model.- Depth Matching of Logs with Varying Deflections - and Other Options.- Examples.- Conclusion.- References.- 6. Dipmeter Postprocessing: An Image-Sharpening Problem.- Testing Dipmeter Logs for Plausibility.- A Mathematical Model.- Applications of the Model.- Taking the Dip Angle into Account.- Conclusion.- References.- 7. Coloring a Computed Dipmeter Log: Feature Identification.- Definition of the Problem.- An Algorithm Based on the Minimization Principle.- An Algorithm Based on Statistical Pattern Recognition.- Conclusion.- References.- 8. Blocking: Curve Shape Analysis.- Definition and Applications of Blocking.- Zonation.- Determination of Representative Log Values.- Examples.- Extension of Zoning to Other Logs.- Conclusion.- References.- 9. Conclusion: Directions for Future Research.- Appendix A: An Algorithm to Implement the Minimization Principle.- Appendix B: An Algorithm to Implement the Modified Minimization Principle.- Appendix C: Forms of Activity Function.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |