Yihong Li
A multi-attribute mathematical model for decommissioning operations of offshore oil and gas platforms.
Email: [email protected]
Project supervisors
Project description
I will develop a mathematical model for decommissioning offshore oil and gas platforms. This engineering application will take into account cost, risk, environmental impact and political impact. It will provide a tool for decision-makers in most areas, including the UK North Sea and China Bohai Sea.
Methodology and objectives
I will investigate the existing laws and regulations of various regions and countries on platform decommissioning. I will explore the existing cost, risk and environmental assessment methods. I will investigate the impacts of public and political influence on platform decommissioning.
I will investigate the existing mathematical model or model-like tools for platform decommissioning. I will evaluate the applicability of various methods to the North Sea region and the South China and Bohai Sea regions. From this, I will determine the mathematical model methods and algorithms suitable for this project.
I will build a database based on laws and regulations, technical conditions, sea state data, marine environment data, and so on. I will set up a matching and restriction system according to the input conditions. I will then apply the database to the mathematical model calculation.
I will devise a mathematical model suitable for decommissioning of North Sea platforms. The model will account for the engineering characteristics of the North Sea region. The model will combine cost, risk and impacts of decommissioning North Sea platforms.
I will devise an equivalent mathematical model for the East Asian Sea area.
I will validate and verify the final model to ensure that it can be applied to engineering practices.
Result
Finally, I will package the mathematical model. I will programme it for running on other devices suitable for the marine industry.
Interests
Photography, traveling, swimming
Qualifications
MSc in Naval Architecture from Newcastle University