Reservoir Simulation Engineer

Chevron

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

21 hours ago
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Job summary

Chevron ENGINE in Bengaluru, India seeks high‑performing Reservoir Engineering professionals to join the Simulation team. You will apply and deploy reservoir simulation and optimization workflows across Chevron's assets, collaborating with R&D and field teams to deliver business value.

The role emphasizes testing, deployment, and support of digital technologies, with mentoring responsibilities and opportunities to work on cloud-native solutions and analytics enhancements.

Qualifications

  • Master's degree in Petroleum Engineering or related field; PhD preferred.
  • 3–7 years in petroleum engineering with emphasis on reservoir simulation and optimization.
  • Hands-on experience with history matching, uncertainty analysis, and production optimization.
  • Experience integrating simulation workflows with modern digital platforms.

Responsibilities

  • Collaborate with R&D teams to test and deploy reservoir simulation and optimization technologies.
  • Operate and support RSO workflows and related digital applications.
  • Conduct reservoir studies, build and update models with geoscientists.
  • Perform history matching and generate forecasts for field development decisions.
  • Contribute to UX, data management, dashboards, and cloud-native solutions.
  • Support CI/CD, testing, deployment, and training materials.
  • Provide mentoring to less experienced engineers.

Skills

Reservoir engineering
History matching
Uncertainty analysis
Optimization workflows

Education

Master's degree in Petroleum Engineering
PhD preferred

Tools

DELFI
OSDU
RESQML
Python
C++
Azure

Job description

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.

Required Qualifications

To be considered for this role, applicants should have:

  • 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 mentoring others, building technical capability, and establishing productive internal and external partnerships.
Problem Solving and Innovation
  • Strong analytical and problem-solving skills with a demonstrated ability to address complex technical challenges.
  • Creative, agile, and proactive approach to identifying opportunities and delivering solutions.
  • Ability to collaborate with subject matter experts across disciplines to solve business-critical problems.
Business Acumen
  • Understanding of how reservoir simulation and optimization contribute to asset value creation and business performance.
  • Appreciation of the full software lifecycle, from concept and development through deployment, support, and long-term maintenance.
  • Ability to align technical solutions with business needs and strategic objectives.
What We Can Offer You

Everything we do at Chevron is guided by our values and our commitment toThe Chevron Way.

Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.

  • Join a workplace where innovation, collaboration and safety are at the core of how we work.
  • Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.
  • Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.
  • Access comprehensive benefits that support your health, well-being, and work-life balance.
  • Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.
Work arrangement

Chevron ENGINE supports global operations, and work hours are aligned to business needs. Standard working hours are 8:00 AM to 5:00 PM or 1:30 PM to 10:30 PM, Monday to Friday. These may evolve based on operational or business requirements.

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