Assets Reservoir Engineer- Shale & Tight
Chevron
· Bengaluru, Karnataka, India
Open
Full Time
Posted 2026-11-12
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Total Number of Openings
1
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:
Assets Reservoir Engineer - Shale & Tight
Chevron ENGINE has an exciting opportunity for Assets Reservoir Engineer - Shale & Tight to join the ENGINE Subsurface team; this role will be based in Chevron’s office in Bengaluru.
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.
Assets Reservoir Engineer supports reservoir management, development planning, production forecasting, reserves and resources maturation, and value optimization for shale and tight assets. This role combines reservoir engineering, production, completion, economic, and subsurface data to generate high-quality recommendations that influence development decisions and capital allocation.
The successful candidate will work with global technical peers and cross-functional asset teams to evaluate uncertainty, improve forecast quality, identify optimization opportunities, and support asset growth. The role is expected to influence development decisions and business outcomes through direct collaboration with global asset teams and technical specialists.
Opportunities exist to leverage analytics, automation, and digital technologies to improve reservoir engineering workflows and business outcomes.
Key Responsibilities:
• Develop reservoir evaluations and integrated development plans that support field development and asset growth.
• Generate production forecasts, type curves, reserves and resources assessments, and development recommendations.
• Conduct reservoir surveillance, decline curve analysis, pressure analysis, and well performance evaluations to identify optimization opportunities.
• Evaluate development spacing, sequencing, depletion strategies, completion performance, and capital efficiency trade-offs.
• Integrate reservoir, production, geological, petrophysical, operational, and commercial datasets into decision-ready recommendations.
• Support reserves and resource maturation processes through technically robust and auditable reservoir engineering work products.
• Evaluate competitor performance and external analog developments to identify opportunities for value creation and risk reduction.
• Collaborate with Earth Science, Production Engineering, Drilling and Completions, Planning, Commercial, and Operations teams.
• Communicate technical recommendations and uncertainty clearly to technical and leadership audiences.
• Contribute to workflow improvements through automation, analytics, digital technologies, and continuous improvement initiatives.
• Support technical mentoring and capability building across the reservoir engineering community .
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:
• Bachelor's degree or higher in petroleum engineering or a related engineering discipline.
• 5-10 years of reservoir engineering experience. Experience in production forecasting, development planning, reserves assessment, surveillance, and economic evaluation.
• Strong technical background in decline curve analysis, reservoir management, forecasting, uncertainty analysis, and development optimization.
• Ability to integrate technical and commercial considerations into business recommendations.
• Strong analytical, communication, stakeholder management, and collaboration skills.
• If required by the final posting: legal authorization to work in India without company-sponsored visa support.
Preferred Qualifications:
• Master's degree in petroleum engineering or a related discipline.
• Experience supporting shale and tight developments.
• Experience with reserves determination, type curve development, development planning, and portfolio optimization.
• Experience with analytics, machine learning, automation, or digital workflow development.
• Experience supporting integrated asset teams and business planning processes.
• Experience working with geographically distributed teams.
Selection Criteria:
• Demonstrated reservoir engineering depth in shale and tight assets, including development planning, production forecasting, well performance evaluation, economic analysis, and reserves/resource assessment.
• Ability to connect reservoir engineering recommendations to asset value, risk reduction, capital efficiency, and development strategy.
• Strong technical judgment in uncertainty framing, forecast quality assurance, type curve development, and decision-support recommendations.
• Proven ability to integrate large technical datasets and translate complex analysis into concise, actionable recommendations.
• Strong collaboration across earth science, production engineering, dril
Skills:
global operations
forecasting
collaboration
continuous improvement
mentoring
communication
stakeholder management
authorization
machine learning
business planning