Citation
Alsaeed, Adel S M A
(2021)
Training of thermoelectric generator maintenance using virtual reality in oil and gas industry.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Major oil and gas companies in recent years have advocated for the design and
development of virtual maintenance training system for the greater benefit of
people and the environment, focusing on sustainable development. The oil and
gas industry often require people to work in hazardous environments; these
environments are constantly increasing in size and complexity, hence
companies continue to look for new more cost-effective ways of doing training
for maintenance. Furthermore, VR training platform eliminates injuries from the
training session. Providing training to a fresh maintenance worker is highly risky
as they might have zero knowledge on TEGs and its handling. Hence,
implementation of VR training platform will eliminate the risk of accidents in the
maintenance area. This research work was conducted in companies where the
business scope includes thermoelectric generators (TEG). The aim of this work
is to design and develop virtual reality (VR) system for maintenance training of
the cooling system in oil and gas industry. Evaluation of the efficiency in
implementing series of training through the Virtual Reality (VR) system was
performed and finally process performance data was compared. The activity of
removing and installing heat pipe in thermoelectric generator in onshore pipeline
activity was selected for the VR training platform. Maya software was used to
design heat pipe system. Meanwhile, Unity 2017 software was used to create
heat pipe assembly and VR interfaces. VR training platform was built using a
personal computer, HTC Vive was used as monitor base and controller, and
SteamVR 1.2.1 and VRTK 3.1.0 sub-component of Unity software were used.
The developed VR software was evaluated by ten maintenance workers in the
oil and gas industry, associated with the TEG companies. The effectiveness of
the developed VR training platform was also studied. Evaluation of the experts
gave a mean score of 2.73 out of 5 for pre-questionnaire and 3.27 out of 5 for
post-questionnaire of the VR software, indicating that the software developed
has potential of providing effective and significant training to the maintenance
personnel after VR training had been done in VR environment. Furthermore, the
effectiveness of the VR training platform was compared with the existing maintenance training method. Maintenance workers verified that they have
gained beneficial input and experience in VR training platform compared to the
existing maintenance method. Finally, the research provides a framework for oil
and gas industry adoption with VR technology. This framework was evaluated
by ten industrial experts in oil and gas industry and which recommends the VR
technology adoption for the oil and gas industry based on its remarkable points
in each department of the industry. The framework will help policy makers,
managers, designers, engineers, and researchers to decide more easily and
efficiently for technology implementation in VR. The developed framework was
validated using another set of questionnaire survey. Overall for framework
applicability on VR adoption, seven of the respondent agree that the framework
is applicable to oil and gas industry while three of the respondent commented
that the framework need a certain adjustment and still good enough to helps
workers in oil and gas industry for training program, comprehensive approach,
covers all major aspects of VR adoption in Kuwait oil and gas industry, and it
provides a straightforward guidance even for beginners.
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Additional Metadata
Item Type: |
Thesis
(Doctoral)
|
Subject: |
Thermoelectric generators |
Subject: |
Virtual reality in engineering |
Subject: |
Gas industry |
Call Number: |
FK 2021 50 |
Chairman Supervisor: |
Faieza binti Abdul Aziz, PhD, PEng |
Divisions: |
Faculty of Engineering |
Depositing User: |
Ms. Nur Faseha Mohd Kadim
|
Date Deposited: |
14 Jul 2022 03:14 |
Last Modified: |
08 Nov 2022 02:34 |
URI: |
http://psasir.upm.edu.my/id/eprint/97930 |
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