Reservoir Simulation Scientist

Technical Knowledge & Skills

• A minimum of 5 years of industry working and coding experience in related fields.
• In-depth understanding of the fundamental principles relevant to at least one of the following areas within the context of reservoir and wellbore simulations,
  • Phase equilibrium and Flash calculations (EOS and K-values)
  • Thermodynamics of thermal/compositional problems (especially those involving steam)
  • Multi-phase fluid flow involving thermodynamics and heat transfer in porous media
  • Reactions, chemical kinetics and partial equilibrium
• Experience in analysis of modelling and simulation results related to processes such as SAGD, CSS, Solvent Based, CCUS, and/or Geothermal energy recovery
• Proficiency in programming languages such as FORTRAN, C++ or Python
• Strong problem-solving abilities
• Ability to write well-crafted and high-quality code

Experience

• Track record of effectively tackling complex simulation challenges in thermal reservoir simulation
• Strong academic, research, and development background
• Hands-on experience in implementing numerical techniques for reservoir simulation and solving partial differential equations
• Demonstrated experience in scientific code development with a strong foundation in numerical methods and algorithmic implementation

Professional Skills

• Excellent communication skills, both written and verbal, in English
• Proven ability to work independently and in a team setup
• Humble and eager to learn new skills, with a high level of motivation and curiosity
• Effective time manager in a dynamic and fast paced team

Additional skills and experiences that are not necessary but adds extra value to your application:

• Minimum 5 years of experience in the field of computational software development
• Familiarity with Computational Fluid Dynamics (CFD) techniques
• Successful development projects in commercial scientific software programs, large scale open-source codes or own codes in the field of reservoir simulation, thermodynamics or fluid dynamics
• Knowledge of different wellbore models and well management logics
• Expertise in parallelization techniques for large-scale computations, including Shared Memory and Distributed Memory
• Experience with debuggers, source code control systems, and software development platforms (e.g. Azure DevOps, GIT, Visual Studio, Visual Studio Code, etc.)