dc.contributor.advisor | El-Thalji, Idriss | |
dc.contributor.author | Hagen, Kine | |
dc.date.accessioned | 2022-09-27T15:51:51Z | |
dc.date.available | 2022-09-27T15:51:51Z | |
dc.date.issued | 2022 | |
dc.identifier | no.uis:inspera:106559361:22661298 | |
dc.identifier.uri | https://hdl.handle.net/11250/3021889 | |
dc.description | Full text not available | |
dc.description.abstract | The oil and gas industry has been vital to the development of modern Norwegian society.
However, with fluctuating oil prices, the industry is forced to seek innovation and enhance
efficiency to reduce cost and gain revenue. Transitioning towards low-manned installations
during the onset of Industry 4.0 requires significant digitalisation efforts from all involved
parties. Although extensive research and technology are available to collect, store and analyse
big data from intelligent equipment, there is a functional shortage in effectively communicating
the complex system to all involved stakeholders in the oil and gas industry.
This thesis has mapped the values and benefits of digitalising the maintenance and test concepts
while utilising the Model-Based Systems Engineering methodology to enable more efficient,
reliable, and updated information sharing between stakeholders during the project design and
operation phase. The research found a considerable value in the digitalisation during the
handover phase. Continuously updating and evolving the design basis while keeping all
stakeholders updated through several revisions has proven difficult with the current
document-based method. This approach consistently creates mismatches between the original
communicated design basis and the revised design requirements at the handover phase. Thus,
incurring otherwise productive and profitable time from all parties being diverted to fault
searching and corrective rework hours of mismatches. Furthermore, the approach would
increase requirement quality and maintenance activities, which would achieve high-level value
drivers of reducing man-hours, Increased revenue, reducing external costs and Improved
Health, Safety, Security, Environment & Quality.
The methodology developed in this thesis can be utilised to analyse other digitalisation
processes inside and outside the case company. | |
dc.description.abstract | The oil and gas industry has been vital to the development of modern Norwegian society.
However, with fluctuating oil prices, the industry is forced to seek innovation and enhance
efficiency to reduce cost and gain revenue. Transitioning towards low-manned installations
during the onset of Industry 4.0 requires significant digitalisation efforts from all involved
parties. Although extensive research and technology are available to collect, store and analyse
big data from intelligent equipment, there is a functional shortage in effectively communicating
the complex system to all involved stakeholders in the oil and gas industry.
This thesis has mapped the values and benefits of digitalising the maintenance and test concepts
while utilising the Model-Based Systems Engineering methodology to enable more efficient,
reliable, and updated information sharing between stakeholders during the project design and
operation phase. The research found a considerable value in the digitalisation during the
handover phase. Continuously updating and evolving the design basis while keeping all
stakeholders updated through several revisions has proven difficult with the current
document-based method. This approach consistently creates mismatches between the original
communicated design basis and the revised design requirements at the handover phase. Thus,
incurring otherwise productive and profitable time from all parties being diverted to fault
searching and corrective rework hours of mismatches. Furthermore, the approach would
increase requirement quality and maintenance activities, which would achieve high-level value
drivers of reducing man-hours, Increased revenue, reducing external costs and Improved
Health, Safety, Security, Environment & Quality.
The methodology developed in this thesis can be utilised to analyse other digitalisation
processes inside and outside the case company. | |
dc.language | eng | |
dc.publisher | uis | |
dc.title | Benefit Mapping of Model-Based Maintenance and Test Concept at Handover Phase: A Case Study | |
dc.type | Master thesis | |