Reservoir Technology Engineer

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. We are looking for minimum 5 years experienced reservoir engineers to support ExxonMobil’s global portfolio of Deepwater, Conventional, Heavy Oil & Unconventional assets.
Collaborate with engineers on global teams to analyze field performance and advise on improving recovery
Monitor reservoir data and provide insights and recommendations based on analysis
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
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
Analytical performance prediction (decline curve analysis, material balance calculations)
Pressure transient analysis
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
Preferred Qualifications / Experience

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)
Competitive compensation
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
Retirement benefits
Global networking & cross-functional opportunities
Annual vacations & holidays
Training and development program
Workplace flexibility policy
Relocation program
Transportation facility

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

placement fees, immigration processing fees, etc.). Nothing herein is intended to override the corporate separateness of local entities. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.