Reservoir Simulation Engineer

Reservoir Simulation Engineer

Bengaluru, India

R000074299

The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies.

Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.

About the position

Chevron ENGINE is seeking high-performing professionals to join its Reservoir Engineering and Simulation team. This role focuses on the application, testing, deployment, and support of Reservoir Simulation and Optimization (RSO) technologies and workflows that enable business value across Chevron's global asset portfolio.

The successful candidate will collaborate closely with research and development teams to pilot emerging technologies using field-scale reservoir models, deploy solutions for operational use, and provide ongoing customer support. The role also involves applying these technologies in field studies, gathering user feedback, and contributing to the continuous enhancement of Chevron’s RSO capabilities. The engineer will help integrate proprietary technologies with industry-leading commercial solutions to deliver differentiated business value.

In addition to technical contributions, the successful candidate is expected to coach and mentor team members while supporting capability development across the organization.

Key responsibilities

• Collaborate with U.S.-based R&D teams to test, pilot, deploy, and support reservoir simulation and optimization technologies and reservoir engineering workflows.

• Operate, maintain, troubleshoot, and provide customer support for RSO workflows and digital applications.

• Conduct reservoir engineering and simulation studies for a wide range of oil and gas assets, including building new simulation models and updating existing models in partnership with geoscientists and other subsurface professionals.

• Perform history matching of production and pressure data and generate forecasts to support field development and optimization decisions.

• Contribute to user experience, data management, and digital product development, including e.g., dashboards, visualization tools, machine learning applications, and cloud-native solutions.

• Support software testing, continuous integration/continuous deployment (CI/CD), build and release processes, and cloud-based application deployment.

• Participate in the development of new/enhanced technical capabilities, software features, and training materials.

• Provide technical guidance, coaching, and mentoring to less experienced engineers.

• About you

• We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated, talented individuals with a keen interest in the energy industry are encouraged.

To be considered for this role, applicants should have:

• Required Qualifications

• Master's degree in Petroleum Engineering or a related discipline; Ph.D. preferred.

• 3-7 years of experience in petroleum engineering, with emphasis on reservoir simulation, production and field development optimization, and technology application or development to support reservoir management and decision-making.

• Hands-on experience with probabilistic forecasting, history matching, uncertainty analysis, and production optimization studies.

• Strong understanding of subsurface uncertainty management and optimization workflows, including design of experiments, assisted history matching, and decision-support methodologies.

• Experience integrating reservoir simulation and optimization workflows with modern digital platforms and standards (e.g., DELFI, OSDU, RESQML).

• Demonstrated experience in testing, deployment, and support of digital technologies, with an understanding of business needs and Agile/SAFe development processes.

• Strong written and verbal communication skills with the ability to work effectively across multidisciplinary teams and build stakeholder alignment.

• Preferred Qualifications

• Experience in developing engineering software using Python, C#, C++, high-performance computing (MPI, GPU, multithreading), and cloud-native architectures.

• Familiarity with Azure ecosystems, including data pipelines, dashboards, visualization platforms, and data management systems.

• Experience in applying machine learning and artificial intelligence techniques to improve reservoir simulation, optimization, and decision-making workflows.

• Knowledge of one or more specialized areas such as flow-geomechanics coupling, surface-subsurface production system integration, unconventional reservoirs, uncertainty quantification, optimization, fracture and DFN modeling, computational geoscience/stratigraphy, gridding technologies, and IOR/EOR processes.

• Technical Excellence

• Strong foundation in reservoir engineering, reservoir simulation, and optimization workflows.

• Demonstrated ability to apply, deploy, and support advanced simulation and optimization technologies.

• Experience in uncertainty quantification, assisted history matching, production forecasting, and optimization.

• Skills in software development and digital technologies, including Python, C#, C++, HPC environments, cloud computing, and Azure-based solutions.

• Experience leveraging AI/ML technologies to improve computational efficiency, predictive accuracy, and workflow automation.

• Demonstrated expertise in advanced simulation, EOR/IOR simulation, optimization, or unconventional reservoirs is advantageous.

• Collaboration and Leadership

• Proven ability to work effectively in multidisciplinary teams involving geoscientists, reservoir engineers, wells and facilities engineers, data scientists, and decision analysts.

• Excellent communication, presentation, listening, and technical writing skills.

• Demonstrated commitment to mentored growth of colleagues and to driving continuous improvement.