Digital condition monitoring for wider blue economy.

Hasan, Md Junayed; Yan, Yijun; Ren, Jinchang

Abstract

In the process of decommissioning energy systems, condition monitoring is crucial. It can make the health status of offshore oil and gas installations, pipelines, wind farms etc. transparent to policymakers and stakeholders, and aid them in creating a better repurposing plan for the assets that will be decommissioned to create a sustainable ocean economy. In most cases, condition monitoring calls for experienced engineers to perform on-site testing, which raises labour costs as well as commuter carbon emissions (M.J. Hasan & Kim, 2019; Rai et al., 2021). A revolution in decarbonised and sustainable decommissioning may result from further digitalisation of condition monitoring to address this problem. We can gather and manipulte enormous amounts of real-time data, and create a simulated representation of physical assets. We can then quickly predict their health conditions by combining artificial intelligence, the Internet of Things, and augmented-, virtual- and mixed reality techniques (M.J. Hasan et al., 2019; Yan et al. 2018, 2020, 2021). Digital condition monitoring has social and economic benefits, including: 1) Delivering a plausible innovation that can be successfully used in other UK industries; 2) Opening a new high-tech talent demand market in the UK; 3) Reducing carbon emissions of decommissioning projects, especially for the marine environment; 4) Reshaping the offshore marine environment to benefit the blue economy; 5) Reducing costs across the decommissioning chain, from design and manufacturing to purchasing and maintenance.

Citation

HASAN, M.J., YAN, Y. and REN, J. 2022. Digital condition monitoring for wider blue economy. Presented at the 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022), 8-10 November 2022, Glasgow, UK.

• Presentation Conference Type: Poster
• Conference Name: 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022)
• Start Date: Nov 8, 2022
• End Date: Nov 10, 2022
• Deposit Date: Nov 14, 2022
• Publicly Available Date: Jan 19, 2023
• Peer Reviewed: Peer Reviewed
• Keywords: Decommissioning; Oil and gas industry; Offshore energy infrastructure; Sustainability; Carbon emissions
• Public URL: https://rgu-repository.worktribe.com/output/1812793
• Additional Information: The poster is also available on Research Gate: https://doi.org/10.13140/RG.2.2.33132.85128