Production Optimization Engineer - Tulsa

NOV

Tulsa, OKFull time
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Location
Tulsa, OK
Job type
Full time
Posted
Nov 6
2 days ago
Career path

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About the company

NOV

Oil & energy · 10,001+ employees

NOV on LinkedIn

What you'll do

  • Analyze and enhance the efficiency of customer oil and gas production operations
  • Identify opportunities to improve production rates, reduce costs, and ensure operational excellence

What you need

  • EDUCATION & EXPERIENCE QUALIFICATIONSBachelor’s Degree in an Engineering Discipline or other Technical Degree, or equivalent ESP experience1-3 years experience in ESP Monitoring/Optimization a plusStrong Communication skills JOB REQUIREMENTSKnowledge of ESP product, processes, and operationsExcellent knowledge of production planning, quality control, and costing principalsWhile performing the duties of this job, the employee is regularly required to sit; use the computerExcellent Computer skills with knowledge of Microsoft office and SCADA systemsTravel less than 10% BEHAVIORAL COMPETENCIESStrong organizational and problem-solving skillsAbility to work effectively alone, or within a groupAbility to work in a fast-paced environment TECHNICAL COMPETENCIESUnderstanding of ESP Systems Understanding of Trend AnalysisWorking knowledge of wellbore construction, Nodal Analysis, and Decline curve analysis

Key skills

data analyticsmodelingoptimization techniquesproduction processesanalytical mindset

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Read the full posting here
NOV is now hiring for Production Optimization Engineer in Tulsa, OK! The Production Optimization Engineer will be responsible for analyzing and enhancing the efficiency of our customer's oil and gas production operations. This role involves utilizing advanced data analytics, modeling, and optimization techniques to identify opportunities for improving production rates, reducing costs, and ensuring operational excellence. The ideal candidate will possess a strong analytical mindset, a deep understanding of production processes, and the ability to work collaboratively with cross-functional teams.

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