Interview with research talents

Jakob Roar BentzonJakob Roar Bentzon
PhD candidate

Jakob’s background
I studied Mechanical Engineering at DTU for both my Bachelor and Master's degree. During my studies, I specialized in computational methods. Next to my studies, I worked at an industrial fans manufacturer with digitization of the engineering work. Through the synergy of my studies and work, I gained a strong understanding of making scientific methods more applicable and feasible to use in the industry. Upon finishing my Master’s degree, I decided to apply for a PhD, to get the opportunity to fully utilize my academic skills in solving a real life scientific challenge for the industry. Through this experience, I intend to expand my experience in applying science to make value-generating solutions for the industry.

Present your project
The goal of my project is to extend the methods for prediction of mineral scale build-up in the wells used for oil and gas production, by combining the current state-of-the-art methods with CFD modeling. The final model will aid better prediction and analysis of mitigation measures.

What do you expect the major challenges in your area of study will be?
The main challenge with the project is to validate my models. Data from the actual production is limited to few well section samples after years of varying operating conditions. With the build-up, accumulating over long time in the wells under extreme thermodynamic conditions it is not realistic to perform experiments replicating the actual conditions.

How do you plan to contribute in solving these problems?
A bottom-up approach equivalent to component testing of large designs will be used. Each methodology used will be tested separately until successfully validated. Validated methods are then combined to perform sub-model-validation studies. 

What are your expectations for your future career?
My career goal is entrepreneurship. After finishing my PhD, I intend to build my own company, consulting businesses in digitization through automation of scientific computing.
6 APRIL 2020