Reservoir Simulation Scientist

Education

PhD degree in Petroleum Engineering, Chemical Engineering, Mechanical Engineering or Computational Mathematics.

Knowledge & Skills

• Track record of effectively tackling complex code challenges in thermal reservoir simulation.
• Strong ability to write meticulously crafted, high-quality code.
• Experience with debuggers, source code control systems, and software development platforms (proficiency in ADO and GIT is beneficial).
• Expertise in parallelization techniques for large-scale code, including Shared Memory, Distributed Memory, and GPU.
• Demonstrated success in working with own code or large scale open-source scientific codes around simulation technologies.
• Familiarity with Computational Fluid Dynamics (CFD) techniques.
• Capable of offering initiative, leadership, and perseverance within a technical team.
• Effective communication skills.
• Strong problem-solving abilities.
• Capable of working both independently and collaboratively as part of a high-performance team.
• Humble and eager to learn new skills, with a high level of motivation and curiosity.
• Be customer focused, learn about the business to help bring value to our customers.
• Team focused with a positive attitude, must be self-motivated, and have very good time management and communication skills both in written and verbal English.

Experience

• Strong academic, research, and development background.
• Proficiency in applying fundamentals of multi-phase flow, heat/mass transfer, thermodynamics, porous media in reservoir simulation.
• Expertise in reservoir simulation, computational thermodynamics, equation of state, fluid properties, phase equilibrium calculation, wellbore modeling management logics.
• Hands-on experience in implementing numerical techniques for reservoir simulation and solving partial differential equations.
• Demonstrated experience in scientific code development, showcasing a strong foundation in numerical methods and algorithmic implementation.
• Proficiency in programming languages such as FORTRAN, C++, and Python.
• Experience in scientific code development.