What you will do
Lead / collaborate with engineers on global teams to analyze field performance and advise on improving recovery
Integrate with adjacent disciplines – Wells & Geoscience teams to implement development plans
Monitor reservoir data and provide insights and recommendations based on analysis
Perform reservoir simulations, including model initialization, history match, and forecast
Generate flow streams through use of material balance / analogs / simulation
Generate plots and reports to communicate field performance
Analyze field data to establish trends, recognize deviations, and identify data quality issues
Build/sustain proprietary reservoir engineering technology
Drive team engagement with technical experts to generate insights based on analysis of data, analytical, & numerical models
About You
Skills and Qualifications
- Bachelor's or Master's degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines.
- Knowledge of reservoir engineering concepts including:
- Depletion planning and resource migration for primary, secondary, and enhanced recovery mechanisms
- Reservoir simulation and history matching
- Analytical performance prediction (decline curve analysis, material balance calculations)
- Pressure transient analysis
- Carbon storage knowledge will be an advantage
- Experience in performance monitoring, troubleshooting, and optimization of reservoir management
- Strong fundamental understanding /experiences in fluid mechanics, porous media flow, computational fluid dynamics
- Experience in reservoir surveillance & analysis, strong analytical skills
- Hands on experience with proprietary or vendor engineering analysis tools within the experience domain
- Experience in data science, machine learning will be an advantage
- Mentorship and team leadership experience will be an advantage
Preferred Qualifications / Experience
- Relevant Reservoir Engineering experience of 3+ years.
- Experience with Engineering Applications such as IPM, Kappa Ecrin (Saphir), Eclipse, Petrel RE, Intersect, and CMG
- Experience in one or more programming languages such as MATLAB/C/Python
- Experience in computational and/or data science (e.g., machine learning, optimization)
