United States Houston: Modeling & Optimization Engineer

Date: Jan 4, 2019

Location: Houston, TX, US, 77032

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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.

 

In this role, you will be responsible for the development of o technology for Halliburton’s Production Enhancement and Cementing Product Service Lines (PSL). You will develop state-of-the-art technology solutions for some of the most challenging problems in oil & gas to improve operational efficiency, lower costs, and maximize well productivity.  You will need to be creative, dynamic, passionate, and data-driven with the ability to effectively communicate and influence the team to deliver best-in-class technology.

 

Essential duties & responsibilities:

 

  • Develop & build mathematical models to be embedded in control & automation systems. 
  • Apply analytical, lumped parameter, statistical, and/or computational models to describe system, process and product performance. 
  • Use knowledge of model-based predictive and corrected parameter controls including the application of plant level modeling.
  • Develop automated low-dimensional models and fault diagnostics/prognostics.

 

Education / Experience / Knowledge:

 

  • Skills acquired through the completion of an undergraduate degree in Electrical Engineering or similar discipline and 2 years of related experience.
  • Prefer a Minimum of Master’s degree (electrical, mechanical, chemical, or aerospace engineering) with 3 to 10 years control systems engineering experience or related/applicable experience.  PhD degree (electrical, mechanical, chemical, or aerospace engineering) is highly desired but not required.
  • Past experience in oil & gas and power generation preferred.  Experience in large-scale industrial processes (chemical, pharmaceutical, oil & gas refining) is essential to be successful in this role.
  • Strong background in data science including statistical analysis and modeling, data mining, machine learning, uncertainty analysis, working with both structured and unstructured data.   
  • Understand frequency-domain analysis and condition-based performance monitoring. 
  • Past experience in system identification and estimation techniques.
  • Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher-level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available.

 

Competencies, skills, and abilities:

 

  • Ability to program in Microsoft Visual Studio, C# and C++, VB.net, LabVIEW, LabWindows/CVI, and Matlab/Simulink, Matlab/Simscape, and industry standard PLC systems.
  • Ability to read and interpret electrical and mechanical drawings and diagrams, electrical schematics, piping and instrument drawings (P&IDs), flow charts and cause and effect diagrams.
  • Understand data acquisition and measurement systems.
 
Halliburton is an Equal Opportunity Employer.

 

Location

3000 N. Sam Houston Parkway E.HoustonTexas77032, United States 

 

Job Details

Requisition Number: 66144 
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Production Enhancement 
Full Time / Part Time: Full Time

Additional Locations for this position: 


Nearest Major Market: Houston

Job Segment: Machinist, Statistics, Data Mining, Manufacturing, Data, Technology

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