Reservoir Engineer

Job Description

We are looking for 3-5 years experienced engineers with an emphasis on subsurface analysis and data management to provide reservoir engineering support across ExxonMobil’s global portfolio.
Responsibilities:
• Monitor production data and provide insights and recommendations based on analysis
• Work with Production Units to analyze field and well performance and advise on production uplift
• Analyze well and field data to establish trends, recognize deviations, and identify data quality issues
• Generate plots and reports to communicate field performance
• Identify new opportunities for improved production
• Collaborate with engineers and operations personnel on global asset teams
• Field development activities – generate flow streams through use of multiple methods (material balance / analogs / simulation / other...)
• Integrate with adjacent disciplines – facilities, wells & geoscience teams to debottleneck/optimize
Requirements:
• Bachelor’s and/or Master’s degree from a recognized university in petroleum or chemical engineering with minimum GPA 7.0 and above
• 3-5 years’ experience in the upstream oil and gas production industry
• Strong analytical skills to evaluate critical operating parameters through data and trend analysis
• Experience in performance monitoring, troubleshooting, and optimization of well performance and reservoir management
• Experience in reservoir surveillance, analysis, and report writing
• Knowledge of basic reservoir engineering concepts including:
o Key reservoir / fluid characterization properties such as porosity, permeability, saturation, wettability, capillary pressure, and PVT
o Basic well design and completion / stimulation technologies
o Depletion planning and resource migration for primary, secondary and enhanced recovery mechanisms
o Reservoir simulation and history matching
o Well testing and production allocation principles
o Analytical performance prediction including decline curve analysis and material balance calculations
o Pressure transient analysis
o Network modeling and basics on facilities operations
o Various artificial lift methods and systems
• Experience in programming languages such as Python will be an advantage
• Experience working in Tableau and Power BI is preferred
• Experience with Engineering Applications such as IPM, Eclipse, and Ecrin (Saphir) will be an advantage
• Able to work shift hours

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