Author:
Borgos, Hilde Grude (Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Mathematical Sciences)
Title:
Stochastic Modeling and Statistical Inference of Geological Fault Populations and Patterns
Department:
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Mathematical Sciences
Publication type:
Doctoral thesis, comprehensive summary (Other scientific)
Publisher:
Fakultet for informasjonsteknologi, matematikk og elektroteknikk
Series:
Dr. ingeniøravhandling, ISSN 0809-103X; 2000:51
URI:
urn:nbn:no:ntnu:diva-503
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-503
Keywords(en)
:
Mathematical statistics, Stochastic modeling, Fault size, Fault population, Fault pattern, Bayes factor, Sampling algorithm
Keywords(sv)
:
Matematisk statistik
Abstract(en)
:
The focus of this work is on faults, and the main issue is statistical analysis and stochastic modeling of faults and fault patterns in petroleum reservoirs. The thesis consists of Part I-V and Appendix A-C. The units can be read independently. Part III is written for a geophysical audience, and the topic of this part is fault and fracture size-frequency distributions. The remaining parts are written for a statistical audience, but can also be read by people with an interest in quantitative geology. The topic of Part I and II is statistical model choice for fault size distributions, with a samling algorithm for estimating Bayes factor. Part IV describes work on spatial modeling of fault geometry, and Part V is a short note on line partitioning. Part I, II and III constitute the main part of the thesis. The appendices are conference abstracts and papers based on Part I and IV.
Note:
Paper III: reprinted with kind permission of the American Geophysical Union. An edited version of this paper was published by AGU. Copyright [2000] American Geophysical Union
Public defence:
2000-06-29, Trondheim, 00:00
Available from:
2000-06-29
Statistics:
516 hits