Reservoir Simulation Engineer I

Schedule : Monday-Friday, 40hrs/week, option for OT Duration : 1-year W2 contract (possibility of extension) We are looking for an experienced Reservoir Simulation Contractor to support a range of carbon capture and storage (CCS) / carbon storage programs . This position will focus on developing, calibrating, and utilizing reservoir simulation models to assess CO₂ storage performance, optimize injection approaches, and ensure safe, compliant long-term storage. The ideal candidate has strong technical capabilities in multiphase flow simulation and subsurface modeling, along with hands‑on experience in CO₂ storage, enhanced oil recovery (EOR), or gas injection projects. Key Responsibilities Create, update, and run dynamic reservoir simulation models for CO₂ storage formations Perform simulation studies to assess: CO₂ injectivity and plume behavior Pressure changes and management approaches Storage capacity and effectiveness Containment integrity and trapping processes Incorporate geological, petrophysical, and fluid datasets into simulation models Carry out history matching and uncertainty analysis when required Work closely with cross‑functional teams (geoscience, petrophysics, drilling, facilities, and regulatory) Provide technical contributions to MMV (Monitoring, Measurement, and Verification) planning Prepare clear technical reports and presentations for both internal and external stakeholders Required Qualifications Bachelor’s degree in Petroleum Engineering, Chemical Engineering, or a related field is required Ph.D. in Petroleum Engineering, Chemical Engineering, or a related field is preferred Minimum of 5+ years of experience in reservoir simulation Demonstrated experience with industry-standard simulation tools, preferably ECLIPSE / INTERSECT Strong knowledge of: Multiphase flow in porous media CO₂ thermodynamics and phase behavior Experience integrating geological models into simulation workflows Experience linking wellbore hydraulics with reservoir simulation models Proficiency in data analysis and visualization tools such as Python, MATLAB, and Excel #J-18808-Ljbffr Brunel