Print Email Facebook Twitter Characterizing fractures and their relation with the structural setting in 3D using novel photogrammetry tools Title Characterizing fractures and their relation with the structural setting in 3D using novel photogrammetry tools Author Althuis, K.Y. Contributor Bertotti, G. (mentor) Bisdom, K. (mentor) Faculty Civil Engineering and Geosciences Department Geoscience & Engineering Programme Applied Geology Date 2014-07-08 Abstract The fracture patterns in an outcrop of the Alima anticline in central Tunusia is investigated. A 3D model of the outcrop is made in Photoscan. The fractures are digitized in 3D using OpenPlot software. OpenPlot can automatically calculate the orientation of every fracture. The length has to be calculated in Excel. Stereonet is used for further processing of the data. Gocad is used to calculate the fracture intensity of different areas of the outcrop. There are two fracture sets in the outcrop, they are perpendicular to each other. One of the sets is perfectly vertical after back rotating, the other set has a dip angle of about 60 degrees after back rotating. Both sets consist of conjugate fractures with an angle of 40 – 50 degrees between the two systems. In large areas of the outcrop only one of the two conjugate systems is developed, so the conjugate fractures are not always visible. The fracture intensity can also show big differences throughout the outcrop, there are a few places with a much lower fracture intensity. The software used in this project can cause some problems, which can result in deviations and errors in the data. The software actually is usable for 3D fracture modelling if the problems are known in advance and are taken into account. Subject Alima anticline To reference this document use: http://resolver.tudelft.nl/uuid:90e1f322-f3dd-42f9-b383-e165afd98cfe Coordinates 34.336476, 8.334732 Part of collection Student theses Document type bachelor thesis Rights (c) 2014 Althuis, K.Y. Files PDF BEP_report_Kaj_Althuis.pdf 1.51 MB Close viewer /islandora/object/uuid:90e1f322-f3dd-42f9-b383-e165afd98cfe/datastream/OBJ/view