Inspection Regime Optimisation in the Offshore Industry.

Lead Research Organisation: Lancaster University
Department Name: Mathematics and Statistics

Abstract

Scientific experiments are essential for improving our perception and understanding of the world around us. Often these procedures are time-consuming and expensive, and as a result, deciding where and how to gather data is challenging. Our area of research, optimal design, concerns how to allocate resources when experimenting to learn as much as possible about the subject of interest.
This project is an international academic collaboration with the Australian Research Council (ARC) Research Hub for Transforming Energy Infrastructure through Digital Engineering (TIDE) based at the University of Western Australia (UWA) Oceans Institute, a multidisciplinary marine research centre. TIDE strive to create new research and technologies based on digital engineering to optimise the management of offshore energy infrastructure in consortium with leading offshore industry partners.
The primary objective of our research is to design tools that efficiently target inspections of submarine pipelines and renewable energy cables to minimise the risk of failures (which would have catastrophic environmental consequences). We aim to develop methodology for sequential decision making within a nonparametric paradigm, with considerations for sparse data and costs of acquiring new observations. Our research is critical not only for the global offshore industry and applies to a wide range of other problems in maintenance, healthcare, epidemiology, search and rescue, and more.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022252/1 30/09/2019 30/03/2028
2438812 Studentship EP/S022252/1 30/09/2020 29/09/2024 Daniel Dodd