Simulation Engineer

About the position:

The Simulation Engineer performs reservoir engineering and simulation studies for Chevrons worldwide operations.

Key Responsibilities

• Performs reservoir engineering and simulation studies for Chevron operations, while mentoring and training less experienced engineers on simulation fundamentals and workflows

• Supports field development and base business activities in business units by providing history matching and optimization studies, uncertainty assessment, probabilistic production forecasts including various recovery mechanisms (primary, enhanced oil recovery and improved oil recovery), using tools like Petrel-RE, INTERSECT and IPM suite

Required Qualifications:

• BS and MS in Petroleum Engineering or other engineering discipline from a deemed/recognised (AICTE) university

• Hands-on experience with probabilistic production forecasting, history matching, and optimization studies, ensuring robust and reliable production forecasts

• Proven proficiency in industry-standard simulation tools, such as INTERSECT, Petrel-RE and the IPM suite, with a demonstrated ability to quickly learn and adapt to Chevrons simulation tools and workflows

• Sufficient experience and expertise to coach and mentor others in the team on simulation fundamentals and principles and to grow expertise in INTERSECT

• Understanding of subsurface - surface production network coupled modeling

• Excellent communication skills, both written and verbal, facilitating effective collaboration and consensus-building within multi-disciplinary teams

• Hands on experience in various asset classes, including deepwater and shale, providing a broad understanding of different reservoir types and challenges

• Experience in technical course development and delivery, showcasing strong instructional and mentoring capabilities is preferred

• Expertise in Data Sciences, including the development and application of machine learning algorithms, to enhance reservoir characterization, optimize production forecasting, and improve decision-making processes is preferred

Bengaluru, Karnataka

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