Experienced Reservoir Simulation Engineer

• Posted 1 day ago • Updated 5 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cloud Computing
  • Systems Engineering
  • Artificial Intelligence
  • Energy
  • Code Refactoring
  • Quality Assurance
  • Quality Control
  • Collaboration
  • Documentation
  • SCAL
  • Modeling
  • Durable Skills
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Technical Communication
  • Eclipse
  • Migration

Summary

EPAM is a global technology services and engineering company operating in 50+ countries, with recognized capabilities across cloud, AI, data, and core systems engineering. In the Energy sector, EPAM partners with leading Utilities, Oil & Gas majors, Renewable Energy developers, and emerging LNG operators to modernize infrastructure, accelerate digital transformation, and build the data and AI platforms defining next-generation energy operations. Our engineering-first approach and sector depth have established EPAM as a trusted strategic partner to some of the largest energy enterprises in North America. EPAM is looking for an Experienced Reservoir Simulation Engineer to join our Energy practice (Energy Competency, Subsurface & Wells) in Houston, Texas. You will work hands-on with complex reservoir simulation models, focusing on building, refactoring, converting, and quality-assuring dynamic models. The role requires strong practical simulation expertise and the ability to work directly with asset and subsurface teams to ensure models are technically robust and fit for use. Hands-on experience with CMG, Eclipse, or Intersect is required. Experience with Intersect and with model migration between simulators is particularly valuable. These platforms are also represented in EPAM's existing reservoir simulation capability. We are looking for someone who is first and foremost a reservoir simulation specialist: comfortable taking an existing complex model apart, understanding how it works, rebuilding or refactoring it where necessary, migrating it between simulation platforms, and demonstrating that the resulting model behaves correctly. Req# Responsibilities Build and refactor reservoir simulation models, including model setup, initialization, and configuration Review existing simulation models and improve their structure, quality, robustness, and performance Model conversion and migration Convert and migrate models between CMG, Eclipse, and/or Intersect, validating results following conversion Troubleshooting, QA/QC, and history matching Troubleshoot model issues including initialization, convergence, numerical stability, and simulation performance Perform model QA/QC and identify inconsistencies in model configuration, data, and results Support history matching and run simulation cases to confirm model behavior Collaboration and documentation Work closely with subsurface and asset teams to understand existing models, assumptions, and requirements Clearly document model changes, assumptions, validation results, and technical issues Requirements Education: Bachelor's or Master's degree in Petroleum Engineering, Reservoir Engineering, or a related discipline Simulation experience: Significant professional experience in reservoir simulation and dynamic reservoir modeling Platform expertise: Strong hands-on experience with at least one of CMG, Eclipse, or Intersect Model development: Experience building, modifying, and troubleshooting complex reservoir simulation models Technical fundamentals: Strong understanding of reservoir simulation fundamentals, initialization, history matching, PVT, SCAL, and well modeling Core skills: Strong analytical, problem-solving, and technical communication skills Location: Houston based, with the ability to work closely with local teams Nice to have Hands-on Intersect experience Experience with two or more of CMG, Eclipse, and Intersect Experience converting or migrating reservoir models between simulators Experience with large, complex full-field models Experience improving simulation performance, numerical stability, or model maintainability
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: e122fbd9ad432fd4b43a04b00f6b4f3e
  • Posted 1 day ago
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