Automated stratigraphic classification and feature detection from images of borehole cores
Date
2005-03
Authors
Van der Walt, Stefan Johann
Journal Title
Journal ISSN
Volume Title
Publisher
Stellenbosch : University of Stellenbosch
Abstract
This thesis describes techniques proposed for analysing images of borehole
cores. We address two problems: firstly, the automated stratigraphic classification
of cores based on texture and secondly, the location of thin chromitite
layers hidden in pyroxenite cores.
Texture features of different rock types are extracted using wavelets, the
theory of which provides an intuitive and powerful tool for this purpose. A
Bayesian classifier is trained and used to discriminate between different samples.
Thin, planar chromitite layers are located using a shortest path algorithm.
In order to estimate the physical orientation of any layer found, a sinusoidal
curve is fitted.
The proposed algorithms were implemented and tested on samples taken
from photographed cores. A high success rate was obtained in rock classification,
and thin planar layers were located and characterised.
Description
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.
Keywords
Image processing, Rocks -- Analysis, Dissertations -- Electronic engineering, Theses -- Electronic engineering