Buch, Englisch, 178 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 456 g
ISBN: 978-0-7923-1487-5
Verlag: Springer Netherlands
The reasons for writing this book are very simple. We use and teach com puter aided techniques of mathematical simulation and of pattern recogni tion. Life would be much simpler if we had a suitable text book with methods and computer programmes which we could keep referring to. Therefore, we have presented here material that is essential for mathematical modelling of some complex geological situations, with which earth scientists are often confronted. The reader is introduced not only to the essentials of computer modelling, data analysis and pattern recognition, but is also made familiar with the basic understanding with which they can plunge into when solving related and more complex problems. This book first makes a case for seismic stratigraphy and then for pattern recognition. Chapter 1 provides an extensive review of applications of pattern recognition methods in oil exploration. Simulation procedures are presented with examples that are fairly simple to understand and easy to use on the computer. Several geological situations can be formulated and simulated using the Monte Carlo method. The binary lithologic sequences, discussed in Chapter 2, consist of alternating layers of any two of sand, shale and coal.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
- Geowissenschaften Geologie GIS, Geoinformatik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Bergbau, Hüttenwesen
- Geowissenschaften Geologie Geophysik
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Naturwissenschaften Physik Angewandte Physik Geophysik
- Geowissenschaften Geologie Wirtschaftsgeologie
- Geowissenschaften Geologie Vulkanologie, Seismologie
Weitere Infos & Material
List of Contents.- 1. Introduction.- 2. Monte Carlo Models in Oil Exploration.- 3. Markov Chain Models in Oil Exploration.- 4. Simulation of Synthetic Seismograms.- 5. Feature Extraction from Seismograms.- 6. Statistical Analysis of Seismic Data.- 7. Patterns Recognized from Synthetic Seismic Data.- 8. Recognized Patterns and Seismic Reflection Data.- Appendices.- A List of abbreviations.- B List of symbols.- Author index.
