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Halliburton Job Vacancies (Technical Professional - Artificial Lift)

Halliburton Company is an American multinational corporation responsible for most of the world's hydraulic fracturing operations.  In 2009, it was the world's second largest oil field service company. It has operations in more than 70 countries.  It owns hundreds of subsidiaries, affiliates, branches, brands, and divisions worldwide and employs approximately 55,000 people.  The company has dual headquarters located in Houston and in Dubai, and remains incorporated in the United States.


Company: Halliburton
Skills: Instrument & Controls Engineer, Heavy Machinery Operator
Experience: 2 + Years
Education: Bachelors/3-5 yr Degree
Employment Type: Full Time Salaried Employee
Location: Houston, Texas, United States


Technical Professional - Artificial Lift

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.


Responsibilities:

• Under general supervision, assists in Artificial Lift proposal development, Artificial Lift application recommendations and post-well evaluation of AL performance.

• Uses engineering design principles to design, recommend, and evaluate Artificial Lift systems.

• Provides technical and operational assistance primarily to internal customers (business development and field operations).

• Uses knowledge and application of engineering principles, Artificial Lift technology and processes to complete assigned projects.

• Participates in developmental programs to accelerate learning.

• Applies Artificial Lift design theory and uses company technical application software tools to execute projects.

• Develop and implement predictive models using machine learning techniques to forecast equipment failures, optimize production, and enhance the efficiency of artificial lift systems.

• Implement anomaly detection algorithms to identify irregularities in data, helping to detect equipment malfunctions or deviations in artificial lift system performance.

• Apply optimization algorithms to maximize the efficiency of artificial lift systems, considering factors such as energy consumption, production rates, and equipment longevity.

• Create clear and insightful visualizations to communicate complex findings to stakeholders, facilitating informed decision-making regarding artificial lift system performance and optimization.

• Develop data models and algorithms that enable remote monitoring and control of ESP systems through SCADA infrastructure.


Requirements:

• Completion of an undergraduate degree in Engineering or Science.

• 2 years of industry experience, which includes artificial lift applications, required.

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