Interview with research talents

Yue Guan

Yue's background
I studied Oil and Gas Storage and Transportation Engineering in Guangdong University of Petrochemical Technology, Guangdong, China. Due to the interests in the area of deep water oil and gas transportation, I decided to further my study in this area. After graduation, I joined The University of Aberdeen, Scotland, UK as a master student by studying Subsea Engineering. During my master’s study, the course, Engineering risk and reliability analysis, provided me an interesting perspective on how to maintain the integrity of structures. Thereafter, I proposed a topic of my master’s thesis by myself - Probabilistic modelling based risk and reliability for corroded subsea pipeline. In 1 February 2018, I enrolled as a PhD student at Aalborg University by focusing on Probabilistic modelling for the performance of sub-surface wells.

Present your project
My PhD project is Probabilistic Modelling for the Performance of Sub-surface Wells. The main focus of this project is directed on the development  of probabilistic models to be applied for assessment of reliability and risk performances of production and injection wells and related components with respect to operational damages and failure over their life span. Two major research subjects are involved in this project, which are internal corrosion of sub-surface wells and inorganic scale.

What do you expect the major challenges in your area of study will be?
Due to the complicated mechanism of corrosion process, scaling process and inherent uncertain characteristics of the deterioration factors, conventional time-invariant probabilistic analyses cannot satisfy the demand of real-time conditional monitoring and proactive inspection, maintenance and workover strategies. Therefore, the first priority of this project is to identify the valid physical model for corrosion process and scaling. Then, the identified models can be used to integrate with probabilistic model, which is the essential part of this PhD project.

How do you plan to contribute in solving these problems?
Use of a Dynamic Bayesian Network (DBN) approach will be a key technique to model the dynamic analysis needed to model the corrosion and scale processes. Beforehand, a multi-cause failure model will be established based on the failure mechanism. Since the major concerns of corrosion in the Danish sector of the North Sea is related to corrosive substances induced corrosion (such as pitting corrosion), erosion induced corrosion defects and Microbiological Influenced Corrosion (MIC), a corrosion model and a scale model that can cover the most of the factors will be established. Then the correlation between failure model and probabilistic model, which is the DBN, will be developed to achieve the goal of this project.

What are your expectations for your future career?
I believe it would be very exciting if I could continue my research career as a researcher in this area.