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Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. (2023)
Thesis
ADEGBOYE, M.A. 2023. Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071535

Pipelines are often subject to leakage due to ageing, corrosion and weld defects. It is difficult to avoid pipeline leakage as the sources of leaks are diverse. Various pipeline leakage detection methods, including fibre optic, pressure point analysi... Read More about Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation..

Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications. (2019)
Thesis
JOHNY, J. 2019. Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Oil and gas (O&G) explorations are moving into deeper zones of earth, causing serious safety concerns. Hence, sensing of critical multiple parameters like high pressure, high temperature (HPHT), chemicals, etc., are required at longer distances. Trad... Read More about Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications..