Reservoir Engineer- Technology Development

ExxonMobil India Careers; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

ExxonMobil India Careers seeks experienced engineers in Bengaluru to drive innovation in reservoir simulation studies for its upstream oil and gas operations. Candidates must have at least 3 years in the upstream oil and gas industry, strong analytical skills, and a relevant advanced degree. Responsibilities include building computational models, conducting simulation studies, and collaborating with interdisciplinary teams. This role offers opportunities to utilize cutting-edge technologies and provide engineering design recommendations for business decisions.

Qualifications

• 3+ years of experience in computational or reservoir simulation.
• 3+ years in the upstream oil and gas industry.
• Experience with reservoir engineering concepts.

Responsibilities

• Build computational models and simulations for reservoir studies.
• Perform data QA/QC and analyze trends.
• Prepare technical reports for stakeholders.

Skills

Analytical skills

Reservoir simulation

Fluid mechanics

Data science

Programming (Python/MATLAB)

Education

Master’s or Dual Degree or PhD in relevant engineering disciplines

Tools

Eclipse

Petrel RE

tNavigator

Power BI

Tableau

Job description

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 such as 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 economic 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, experience using reservoir (flow) simulation software such as Eclipse, Petrel RE, Intersect, tNavigator, CMG or equivalent is required.
• Experience in one or more programming languages such as MATLAB/C/Python will be an advantage.
• Experience working in Tableau and Power BI will be an advantage.
• Experience in working with problems related to EOR, reservoir engineering, geomechanics, fracture mechanics is preferred.