Production Engineer at JEV Consulting

JEV Consulting

Lagos, Nigeria CDI

Publiée il y a 1 mois · Expire dans 3 semaines

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Description du poste

## Title: Production Engineer

Job Summary

A reputable organization seeks a dedicated Production Engineer to optimize hydrocarbon production, improve well performance, enhance reservoir recovery, and ensure operational efficiency in line with safety, regulatory, and client standards.

This role requires strong technical capability in production systems analysis, well performance monitoring, artificial lift systems, and field optimization strategies. The position is based in Port Harcourt, Rivers State. Preferred candidates will be resident in this location or willing to relocate.

Key Responsibilities

Production Optimization & Surveillance

  • Monitor well performance using production data and recommend optimization strategies
  • Conduct nodal analysis and production system modeling
  • Identify production bottlenecks and implement remedial actions
  • Support artificial lift design, selection, and optimization (ESP, Gas Lift, Rod Pump, etc.)

Well & Field Operations Support

  • Provide engineering support for well start-ups, shut-ins, and workovers
  • Coordinate production enhancement initiatives and well intervention programs
  • Collaborate with reservoir and drilling teams to maximize recovery

Production Data Analysis & Reporting

  • Analyze daily production reports, trends, and KPIs
  • Prepare technical reports, forecasts, and performance evaluations
  • Develop production strategies aligned with asset objectives

Facilities & Flow Assurance

  • Monitor surface production systems (separators, flowlines, manifolds)
  • Identify and mitigate flow assurance challenges (hydration, scaling, wax deposition)
  • Ensure safe and efficient operations of processing facilities

HSE & Regulatory Compliance

  • Ensure compliance with Nigerian oil & gas regulatory standards
  • Participate in risk assessments and incident investigations
  • Promote adherence to HSE policies and operational best practices

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