Production Engineer Offshore

Total Number of Openings

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 worlds current and future energy 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.

About theposition

The Production Engineer Offshore helps keep offshore wells and facilities running safely and efficiently by monitoring daily production performance validating production data and flagging deviations this role you will work within ENGINE and partner with offshore operations Regional Production Engineering Asset Development (AD) and Subsurface teams to produce routine surveillance outputs (dashboards well/facility performance snapshots and exception lists) and to support short-cycle optimization and troubleshooting. With 5-10 years of experience the role is expected to execute standard surveillance and data quality workflows with limited guidance while escalating complex issues to senior production engineers.

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.

Key Responsibilities

Execute daily production surveillance for assigned offshore assets (rate/pressure review downtime and constraint tracking) and communicate exceptions to Regional Production Engineering and Asset Development (AD).
Monitor well system and facility performance for subsea wells platforms and offshore production systems by trending key metrics (rates pressures temperatures injection volumes and utilization) and identifying anomalies and improvement opportunities.
Provide engineering data (Energy Components (EC)) support to enable reliable surveillance including:
o Verifying data entry accuracy and completeness (well tests allocations downtime codes).
o Maintaining production data quality by resolving gaps unit issues and inconsistent tags in source systems.
o Performing basic analysis to quantify impacts (e.g. estimated deferment injection shortfall) and highlight recurring issues.
Maintain and improve IVM dashboards and surveillance tools (add new wells update mappings validate inputs and publish routine views for stakeholders).
Support waterflood surveillance and optimization by monitoring injection/production response identifying pattern imbalances and preparing data packages for review with senior engineers.
Collaborate with AD Subsurface and offshore operations teams to apply standard production engineering workflows and document decisions assumptions and follow-ups.
Escalate technical issues and performance concerns to senior engineers with a clear problem statement supporting data/trends and recommended next steps.
Build core production engineering capability through coaching structured training and on-the-job application (surveillance workflows nodal analysis basics and well performance diagnostics).
Perform all work in compliance with safety operational integrity and environmental requirements and stop work when conditions are unsafe.

Required Qualifications

Bachelors degree in Petroleum Engineering Chemical Engineering Mechanical Engineering or related engineering discipline.
5-10 years of experience in production engineering production operations or surveillance/optimization support (offshore experience preferred).
Working knowledge of production engineering fundamentals (flow assurance awareness well/facility constraints allocations and basic well performance concepts).
Experience using production data sources and surveillance tools (e.g. IVM or similar dashboards historian trends well test/allocations systems) to create and maintain recurring daily/weekly performance views for stakeholders.
Demonstrated analytical skills to identify trends diagnose likely drivers and recommend next checks for performance deviations (e.g. unstable rates pressure declines injector underperformance or sensor/tag issues). Automation and machine learning driven analysis experience preferred.
Proficiency with standard analysis tools (advanced spreadsheets charting basic database queries machine learning; exposure to Python/R or BI tools is a plus).

Selection Criteria 1

PE Functional Knowledge: Demonstrated application of core production engineering concepts with 5-10 years of relevant experience. Familiar with surveillance analysis and optimization (SA&O) and able to independently set up run and interpret routine surveillance (rate/pressure trends well test QA/QC and constraint tracking) escalating non-routine behavior. Working knowledge of common workflows/tools (OFM Kappa tool suite IPM or equivalents). Experience supporting well performance management; exposure to rate/pressure transient analysis is preferred.

Selection Criteria 2

Project Management: Able to own small to mid-sized improvements end-to-end (dashboard enhancements data fixes workflow updates) by defining scope aligning stakeholders managing actions and communicating status/risks. Experience supporting an enterprise tool suite or providing application support is valued.

Selection Criteria 3

Technical Digital: Comfortable working with data and automation to improve surveillance (e.g. basic scripting repeatable reporting or simple data pipelines). Familiarity with at least one programming language (Python VBA SQL or similar) is desired; familiarity with scaled agile ways of working is a plus.

Selection Criteria 4

Teaming: Proven ability to partner across organizational boundaries (operations subsurface and engineering) to deliver results. Communicates clearlysummarizes issues provides supporting data and translates technical findings into practical actions for field and asset teams. Aligns with customers and technical SMEs to deliver timely accurate recommendations.

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