Reservoir Simulation Engineer
Chevron Corporation (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 7h ago
Reach people at Chevron Corporation
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Chevron Corporation you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Apply, test, deploy, and support reservoir simulation and optimization technologies across Chevron's global assets to enable business value.
- Conduct reservoir engineering and simulation studies including model building, history matching, production forecasting, and optimization to support field development decisions.
- Collaborate with R&D and subsurface teams; provide ongoing customer support, digital product development, and mentor less experienced engineers.
Minimum Requirements
- Master's degree in Petroleum Engineering or related discipline; Ph.D. preferred.
- 3-7 years of petroleum engineering experience emphasizing reservoir simulation, production optimization, and technology application for reservoir management.
- Hands-on experience with probabilistic forecasting, history matching, uncertainty analysis, and production optimization studies.
- Experience with reservoir simulation integration on digital platforms (e.g., DELFI, OSDU), and involvement in software testing, deployment, and Agile/SAFe processes.
Ideal Candidate Profile
- Experienced in deploying and supporting advanced reservoir simulation and optimization technologies in operational settings with strong subsurface uncertainty management skills.
- Comfortable working across multidisciplinary teams including geoscientists, engineers, data scientists, and R&D, with effective communication to align stakeholders.
- Familiarity with software development (Python, C#, C++), cloud computing, AI/ML applications, and digital platforms to improve workflows and drive innovation.