What you will do
- Conduct research on multiphase flow analysis related challenges through oil and gas well lifecycle (Drilling, completions, production) for Upstream and CCS developments.
- Identity improvement opportunities in current design methodologies and technologies, propose solutions and work on prioritized opportunities.
- Scripting for automation, solving numerical problems, optimization, proxy modelling and basic GUI deployments.
- Plan research work for solving problem at hand, break it down into milestones and deliver research insights to stakeholders.
- Perform fit for purpose flow analysis using appropriate software and tools.
- Collaborate with multi-disciplinary teams to offer research insights and improve system design and operational procedures for safe and cost-effective execution of operations.
- Integrate findings with adjacent disciplines (reservoir, geoscience, operations) to enhance well performance and mitigate risks.
- Provide technical leadership in the specific areas of expertise and develop/train others.
About You
Skills and Qualifications
- Masters with thesis or PhD degree from a recognized university in petroleum/chemical/mechanical/ civil engineering disciplines with minimum GPA 7.0.
- 3+ years of research (academic/industry) experience in multiphase flow modeling and simulation partially or fully in Upstream/Wells or related technology development.
- Knowledge of petroleum engineering concepts, including wells drilling, completion designs, production analysis will be an added advantage.
- Experience with Engineering Applications such as Ansys Fluent, Olga for solving Computational Fluid Dynamics or multiphase flow analysis problems.
Preferred Qualifications / Experience
- Experience in one or more programming languages such as MATLAB/Python will be preferred.
- Experience in computational and/or data science (e.g., machine learning, optimization) will be an added advantage.
- Demonstrated experience of working in research/technology development, ability to research plan and lead.
- Demonstrated teamwork, communication and leadership skills are essential.
- Strong analytical skills for data-driven decision-making.
