Job Overview:
The Production Engineer will lead and support the implementation integration and sustainment of the ForeSite Legacy platform and associated petroleum engineering workflows across a variety of field types and artificial lift systems. The role involves technical leadership in production optimization digital workflow design exception-based surveillance and multidisciplinary coordination to ensure successful adoption and performance of the digital oil field ecosystem.
Key Responsibilities:
ForeSite Platform Implementation & Optimization
Lead deployment and configuration of ForeSite modules for various artificial lift types (SRP PCP ESP Gas Lift).
Oversee integration with SCADA data historians and field instrumentation systems.
Customize digital workflows to support well monitoring alarm management model updates well test validation and optimization strategies.
Validate data quality and model alignment ensuring digital outputs reflect operational and engineering realities
Production Engineering & Optimization
Analyze well performance and identify optimization opportunities based on exception-based events and ForeSite insights.
Support field teams in diagnosing lift system performance issues and recommending optimization actions.
Contribute to the development and calibration of well models surface network models and optimization scenarios.
Collaborate with operations field development and reservoir teams to align surveillance and intervention priorities.
Workflow Design & Technical Enablement
Lead the design and deployment of end-to-end digital workflows (e.g. well test validation downtime categorization steam allocation CIW follow-up).
Develop and document technical procedures SOPs and user guides for ForeSite users.
Provide coaching mentoring and structured training sessions to client engineers and field users.
Project Management Support & Reporting
Contribute to project planning milestone tracking and stakeholder engagement during system rollouts.
Monitor well connectivity data availability and system uptime; coordinate actions for hardware or software issues.
Prepare technical reports success stories and justifications for system expansion enhancements or maintenance requirements.
Required Qualifications:
Bachelors or Masters degree in Petroleum Engineering.
Minimum 5yrs of experience in production engineering and artificial lift optimization.
Experience with ForeSite platform or similar production optimization tools.
Familiarity with SCADA systems real-time monitoring and exception-based surveillance.
Strong communication documentation and technical mentoring capabilities.
Proficiency in production data analysis tools (e.g. Spotfire Power BI) is an advantage.
Preferred Skills:
Experience with multi-lift environments and varying field conditions (onshore/offshore conventional/unconventional).
Knowledge of surface network modeling real-time optimization and integration with business intelligence tools.
Job Overview:The Production Engineer will lead and support the implementation integration and sustainment of the ForeSite Legacy platform and associated petroleum engineering workflows across a variety of field types and artificial lift systems. The role involves technical leadership in production ...
Job Overview:
The Production Engineer will lead and support the implementation integration and sustainment of the ForeSite Legacy platform and associated petroleum engineering workflows across a variety of field types and artificial lift systems. The role involves technical leadership in production optimization digital workflow design exception-based surveillance and multidisciplinary coordination to ensure successful adoption and performance of the digital oil field ecosystem.
Key Responsibilities:
ForeSite Platform Implementation & Optimization
Lead deployment and configuration of ForeSite modules for various artificial lift types (SRP PCP ESP Gas Lift).
Oversee integration with SCADA data historians and field instrumentation systems.
Customize digital workflows to support well monitoring alarm management model updates well test validation and optimization strategies.
Validate data quality and model alignment ensuring digital outputs reflect operational and engineering realities
Production Engineering & Optimization
Analyze well performance and identify optimization opportunities based on exception-based events and ForeSite insights.
Support field teams in diagnosing lift system performance issues and recommending optimization actions.
Contribute to the development and calibration of well models surface network models and optimization scenarios.
Collaborate with operations field development and reservoir teams to align surveillance and intervention priorities.
Workflow Design & Technical Enablement
Lead the design and deployment of end-to-end digital workflows (e.g. well test validation downtime categorization steam allocation CIW follow-up).
Develop and document technical procedures SOPs and user guides for ForeSite users.
Provide coaching mentoring and structured training sessions to client engineers and field users.
Project Management Support & Reporting
Contribute to project planning milestone tracking and stakeholder engagement during system rollouts.
Monitor well connectivity data availability and system uptime; coordinate actions for hardware or software issues.
Prepare technical reports success stories and justifications for system expansion enhancements or maintenance requirements.
Required Qualifications:
Bachelors or Masters degree in Petroleum Engineering.
Minimum 5yrs of experience in production engineering and artificial lift optimization.
Experience with ForeSite platform or similar production optimization tools.
Familiarity with SCADA systems real-time monitoring and exception-based surveillance.
Strong communication documentation and technical mentoring capabilities.
Proficiency in production data analysis tools (e.g. Spotfire Power BI) is an advantage.
Preferred Skills:
Experience with multi-lift environments and varying field conditions (onshore/offshore conventional/unconventional).
Knowledge of surface network modeling real-time optimization and integration with business intelligence tools.
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