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Reservoir Engineer
ExxonMobil
posted 5d ago
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Flexible timing
Key skills for the job
Job Description
- 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
- Bachelors or Masters degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines with minimum GPA 7.0
- 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
- Good 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
- 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)
Employment Type: Full Time, Permanent
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