Job Role Summary

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:
    • Key reservoir / fluid characterization properties such as porosity, permeability, saturation, wettability, capillary pressure, and PVT
    • Basic well design and completion / stimulation technologies
    • Depletion planning and resource migration for primary, secondary and enhanced recovery mechanisms
    • Reservoir simulation and history matching
    • Well testing and production allocation principles
    • Analytical performance prediction including decline curve analysis and material balance calculations
    • Pressure transient analysis
    • Network modeling and basics on facilities operations
    • 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