About The Role:

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Under general supervision, has good knowledge and understanding of applicable science and technology, gained through formal education and work experience. Working with customers, demonstrates knowledge of existing and emerging technology and product areas with our Landmark Software & Services team.

Responsibilities:

  • Ability to evaluate natural and artificial lift well productivity; independently and subject to surface network operations
  • Perform production analysis, and optimize production under surface and reservoir constraints with minimal supervision.
  • Perform material balance calculations
  • Analyze well tests and use engineering judgement to update the well models
  • Ability to generate and analyze IPR and VLP curves for natural flow and artificially lifted wells
  • Perform routine QA/QC on all production and completion data relevant to building production models
  • Evaluate surface production facilities impact on short-term, mid-term and long-term field performance by:
    • Building surface network models incorporating wells, pipelines, pumps, separators and delivery nodes
    • Define forecast scenarios incorporating reservoir deliverability constraints, flow capacity, processing capacity and economic constraints
  • Understand configuration requirements and communication protocols necessary to acquire data from field
  • Perform flow assurance studies under supervision

Candidate Requirements:

  • Completion of a degree in engineering, geoscience, computer science or similar discipline
  • 3+ years of related experience.
  • Advanced English is a must.
  • It is preferred that candidate has understanding of data science methodologies for data analysis, data model creation
  • It is preferred that candidate has basic knowledge in Python/C++/or comparable language
Job Overview
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