Reservoir Engineer- Technology Development

 

About us

 

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. Learn more about our What and our Why and how we can work together.

What role you will play in our team

 

We are looking for experienced engineers with minimum 3 years in the upstream oil and gas industry, who will drive innovation and conduct reservoir simulation studies to support ExxonMobil’s global portfolio of Deepwater, Conventional, Heavy Oil & Unconventional assets.

What you will do

 

• Build computational models and simulations using proprietary and vendor tools to develop new technologies, enhance design and operational practices and address evolving business needs.
• Build or update high fidelity reservoir simulation models, history-match using available field data, and forecast dynamic predictions using calibrated models
• Perform data QA/QC and correct anomalies, analyze trends to recognize deviations and inconsistencies
• Interpret field experimental data (DAS/pressure/tracer data) and generate data driven insights to evaluate technologies and provide inputs to business decisions
• Conduct fit for purpose reservoir simulation analysis to accurately predict dynamic performance and provide appropriate technical inputs to support business decisions like workovers, infill drilling, facility capacity & operational thresholds, field development and reserves estimation
• Quantify subsurface uncertainties using multi scenario modeling methods
• Conduct research and development on new technologies, methods, or best practices using simulation models to provide engineering design recommendations for business decisions.
• Work closely with global business units and central capability groups to integrate geologic, reservoir and production data into reservoir simulation models, conduct or coordinate reservoir studies to robustly assess dynamic performance of our conventional, heavy oil, unconventional and carbon storage reservoirs
• Collaborate with geologists, wells/completion engineers, data scientists, and petro-physicists, as needed, to ensure that the range of uncertainty in dynamic performance predictions are presented to management
• Support evaluation and enhancement of reservoir simulation workflows, tools and technologies
• Prepare technical reports to share results and analysis of simulation studies with internal and external stakeholders

 

About You

Skills and Qualifications

 

• Master’s or Dual Degree or PhD from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines
• Minimum 3 years of experience in computational or reservoir simulation
• Minimum 3 years of experience in the upstream oil and gas industry
• Strong analytical skills to evaluate critical operating parameters through data and trend analysis
• For petroleum engineers, knowledge of basic reservoir engineering concepts including reservoir simulation, analytical performance prediction, and economics metrics
• Good fundamental understanding/experiences in fluid mechanics, porous media flow, computational fluid dynamics
• Hands-on experience using proprietary or vendor engineering analysis tools and software applications appropriate to the corresponding engineering disciplines
• Experience in data science, machine learning will be an added advantage
• Mentorship and team leadership experience will be an added advantage

 

Preferred Qualifications / Experience

 

• Experience in computational and/or data science (e.g., computational fluid dynamics, 3D modeling, machine learning, and optimization)
• For petroleum engineers, experienced using reservoir (flow) simulation software