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Permanent link (DOI): https://doi.org/10.7939/R3ZC7S29R

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Automating Information Flow in Hyperspectral Measurements for Soil Characterization in Tailings Open Access

Descriptions

Other title
Subject/Keyword
Bitumen Profiles
IDL
Tailings
Automating
Qualitative Analysis
Hyperspectral Imaging
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Mahajan, Shaina
Supervisor and department
Rivard, Benoit Dr. (Department of Earth and Atmospheric Science)
Lipsett, Michael Dr. (Department of Mechanical Engineering)
Examining committee member and department
Doucette, John Dr. (Department of Mechanical Engineering)
Lipsett, Michael Dr. (Department of Mechanical Engineering)
Rivard, Benoit Dr. (Department of Earth and Atmospheric Science)
Department
Department of Mechanical Engineering
Specialization
Engineering Management
Date accepted
2015-09-02T14:13:29Z
Graduation date
2015-11
Degree
Master of Science
Degree level
Master's
Abstract
In the first section of this thesis, two laboratory experiments conducted on tailing samples were evaluated using a structured qualitative analysis procedure. The process model of Suppliers, Inputs, Process, Output, and Customers (SIPOC) was used to study relationships amongst different parts of the experimental processes and to build a process model that fits the output requirements and covers all essential parts of the system. This model was chosen for this study as it allows for different aspects of system description from supply of samples to the delivery of reports to the customers. As part of the model, a process flow diagram was developed to establish how inputs are used to produce outputs identified in the SIPOC model and every activity of the process flow was analysed using an Integrated Definition - 0 (IDEF0) model. A process value analysis was finally performed to identify non-value added activities, if any, in the procedure. The results indicated the absence of non-value added activities in both procedures and emphasized the importance of execution of every element of the process. It, however, suggested automation of repetitive tasks and active database management. In the second section of this thesis, two procedures were created to describe bitumen profiles of total bitumen content (TBC) in drill cores scanned using a hyperspectral imaging system, so that information flow could be streamlined and low value-added processes might be automated. The profiles represent variation in TBC as a function of depth along the drill core and convey statistical parameters computed at a range of drill core downhole resolutions. Two procedures were created in the Environment for Visualizing Images (ENVI) and written in Interactive Data Language (IDL) to create these profiles and were compared on the basis of time and accuracy. The first method, also called "The Basic Approach", presented higher accuracy while the second method, also called "The Improved Method", reduced the processing time from hours to a few minutes. The profile generation tools would allow facilitation of multi data analysis by providing comparison to other forms of profiles, such as geophysical. They, however, don't consider missing drill cores and ignore cracks in the core samples.
Language
English
DOI
doi:10.7939/R3ZC7S29R
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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