Sr. Lead Reservoir Engineer

Reliance Industries Limited

Navi Mumbai

On-site

INR 4,000,000 - 7,000,000

Full time

11 days ago

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Job summary

Reliance Industries Limited in Navi Mumbai seeks a seasoned Reservoir Engineer to lead evaluation, simulation, and production forecasting for clean energy projects, spanning exploration to operation.

You will coordinate with geology, drilling and subsurface teams, validate models, and drive field optimization, performance reviews and techno-economic evaluations.

Qualifications

  • 12–18 years of reservoir engineering experience in energy, gas, mining or related sectors.
  • Experience with reservoir simulation and production forecasting.
  • Strong analytical, reporting and technical communication skills.
  • Experience leading multidisciplinary subsurface studies and technical teams.

Responsibilities

  • Lead reservoir engineering studies including characterization, simulation modelling and production analysis.
  • Plan and execute reservoir simulation studies to evaluate behavior and production performance.
  • Conduct production history matching and calibration using diverse datasets.
  • Lead well testing programs, pressure transient analysis and parameter estimation.
  • Develop short- and long-term production forecasts and reservoir performance scenarios.
  • Coordinate with geology, drilling and subsurface teams to integrate reservoir inputs into field development.
  • Support reservoir model preparation, review and validation of assumptions and outputs.
  • Drive field optimization initiatives and reservoir management strategies.
  • Contribute to techno-economic evaluations for development scenarios and optimization initiatives.

Skills

Leadership
Analytical thinking
Problem solving
Cross-functional coordination

Education

Bachelor’s degree in Petroleum Engineering
Master’s degree (preferred)

Tools

Petrel RE
Eclipse
CMG
COMET

Job description

Job Purpose:

Lead reservoir engineering activities for clean energy projects by driving reservoir evaluation, simulation, production forecasting and field optimization studies to support production planning, resource assessment and long-term asset performance improvement across exploration, pilot and operational phases.

Key Responsibilities:
  • Lead reservoir engineering studies including reservoir characterization, simulation modelling, production analysis and performance forecasting for clean energy projects.
  • Plan and execute reservoir simulation and dynamic modelling studies to evaluate reservoir behavior, cavity growth, pressure response and production performance.
  • Conduct production history matching and calibration studies using operational, geological and subsurface datasets.
  • Lead well testing programmed, pressure transient analysis and reservoir parameter estimation activities for evaluation of reservoir performance and production potential.
  • Develop short-term and long-term production forecasts, recovery estimates and reservoir performance scenarios to support business planning and operational decision-making.
  • Analyze production trends, injection performance, pressure behavior and subsurface response to identify optimization opportunities and operational risks.
  • Coordinate with geology, drilling, production and subsurface teams to integrate reservoir inputs into field development and operational planning activities.
  • Support preparation and review of reservoir models using appropriate simulation software and validate assumptions, input datasets and modelling outcomes.
  • Conduct sensitivity and parametric studies to assess the impact of operational, geological and reservoir variables on production performance and recovery outcomes.
  • Drive field optimization initiatives including production enhancement studies, well intervention analysis and reservoir management strategies.
  • Support preparation of reservoir management plans, development strategies, reserves assessments and technical recommendations for management review.
  • Evaluate performance of producing assets and identify opportunities for production stabilization, recovery improvement and operational efficiency enhancement.
  • Participate in techno-economic evaluations related to reservoir development scenarios, production strategies and subsurface optimization initiatives.
  • Coordinate with external consultants, technology providers and technical partners for specialized reservoir studies and simulation activities where required.
  • Ensure quality assurance and technical validation of reservoir engineering workflows, simulation outputs and performance analysis reports.
  • Prepare periodic technical reports, production analysis summaries, reserves updates and reservoir performance reviews for internal stakeholders.
  • Lead and mentor reservoir engineering team members by providing technical guidance, work allocation, capability development and performance feedback.
  • Build technical capability within the team on reservoir simulation tools, production analysis techniques and integrated subsurface workflows.
Qualifications & Skills:
  • Master’s / Bachelor’s degree in Petroleum Engineering or related discipline; Master’s degree preferred.
  • 12-18 years of experience in reservoir engineering, production analysis and subsurface evaluation within energy, gas, mining or related sectors.
  • Strong experience in reservoir simulation, production forecasting, well testing and reservoir performance analysis.
  • Experience working on unconventional energy resources, gasification projects or integrated subsurface development projects preferred.
  • Proficiency in reservoir simulation and modelling software such as Petrel RE, Eclipse, CMG, COMET or equivalent platforms.
  • Strong understanding of reservoir management, production optimization and integrated subsurface workflows.
  • Experience managing technical teams and coordinating multidisciplinary subsurface studies.
  • Strong analytical, problem-solving and technical reporting capabilities.
  • Ability to work in evolving and technology-driven project environments with cross-functional coordination requirements.
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