Understanding Faults: Detecting, Dating, and Modeling

by David Tanner, Christian Brandes

Overview

Understanding Faults: Detecting, Dating, and Modeling offers a single resource for analyzing faults for a variety of applications, from hazard detection and earthquake processes, to geophysical exploration. The book presents the latest research, including fault dating using new mineral growth, fault reactivation, and fault modeling, and also helps bridge the gap between geologists and geophysicists working across fault-related disciplines. Using diagrams, formulae, and worldwide case studies to illustrate concepts, the book provides geoscientists and industry experts in oil and gas with a valuable reference for detecting, modeling, analyzing and dating faults.

Product Details

ISBN-13:	9780128159859
Publisher:	Elsevier Science
Publication date:	10/09/2019
Pages:	380
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

David Colin Tanner is a researcher at the Leibniz Institute for Applied Geophysics, where his research focuses on structural modeling and seismics. He has also been a lecturer at Jacobs University and University of Gottingen, as well as a researcher at GFZ Potsdam, among others. He has chaired multiple sessions on faults at the EGU conference in Vienna.

Christian Brandes is a researcher and lecturer at the Institute of Geology at the University of Hannover. His research interests include interaction of tectonics and sedimentation, geodynamics of island-arcs, burial history and temperature evolution of sedimentary basins, paleoseismology, and evolution of fold-and-thrust belts. He lectures on tectonics, modeling, Earth history, mapping, and regional geology.

Table of Contents

1. Introduction 2. Fault Mechanics and Earthquakes 3. Fault Detection 4. Numerical Modelling of Faults 5. Faults in the Laboratory 6. The Growth of Faults 7. Direct dating of Fault Movement 8. Fault Seal 9. Conclusions

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From the Publisher

An integrated resource describing how faults are detected, what fault models predict, and current theories of fault development