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Production Optimization Engineer Jobs
Company | Weatherford |
Address | Riau, Indonesia |
Employment type | FULL_TIME |
Salary | |
Category | Jasa TI dan Konsultan TI,Manufaktur Mesin Industri,Minyak dan Gas |
Expires | 2023-07-20 |
Posted at | 10 months ago |
Production Optimization Engineer
Location: Duri, Riau
Job Summary:
Working with Customer operations representative in conducting well surveillance, analysis, optimization and commissioning using Weatherford Engineering Software (ie. LOWIS, Cygnet, Foresite). Provide feedback to Customer on any potential problems and optimization opportunity utilizing Weatherford engineering software. Responsible for designing, developing, deploying, and supporting software solutions for our customer. Working with cross-functional teams and business stakeholders, to identify and solve complex problems to support our customer reducing their cost and optimizing their production.
Job Responsibilities:
- Develop and implement machine learning models and algorithms to analyze and predict oil and gas data, with a focus on addressing complex production challenges, providing intelligent alarms, and giving failure prediction
- Provide feedback to other team member to ensure full operational capacity of the Weatherford Engineering Software
- Provide assistance to the Applications Engineers and Clients in order to plan and prepare for all facets of pending LOWIS/Foresite deployment and customer support
- Develop and maintain network infrastructure to ensure secure, reliable, and efficient data transfer and processing
- Responsible for generating periodical data performance report to Customer
- Responsible for conducting surveillance, analysis, optimization, and commissioning of Weatherford Engineering Software
- Close engagement with Customer to ensure services are well executed and in timely manner
- Ensure compliance with industry standards, regulations, and best practices related to software development, data analysis and network engineering.
- Complete all of the required duties associated with the pre-job preparation and installation associated with LOWIS/Foresite applications.
- Design, develop, deploy, and support software solutions, with a focus on data analysis, network engineering, and machine learning to address complex oil and gas production challenges
- Collaborate with internal and external teams to integrate software solutions with existing systems and technologies
- Responsible for maintenance and development of LOWIS software including configuration, integration, developing control logic, database management and graphical user interface
- Develop and maintain data processing workflows and pipelines to support the acquisition, storage, processing, and analysis of oil and gas data from various sources including IoT devices, SCADA controllers, rod pump controllers, and other means of production optimization and monitoring
- Work closely with cross-functional team and business stakeholders, to understand business requirements and develop solutions to meet those requirements
- Provide feedback to Customer on any potential problems and optimization opportunity utilizing Weatherford engineering software
Job Requirements:
- 5+ years of experience including 3+ years in software development, data analysis, network engineering, and machine learning
- Proficiency in data modeling, statistical analysis, and machine learning techniques
- Bachelor's or Master's degree in Computer Science, Software Engineering, Informatics Engineering, Electrical Engineering, or a related field
- Excellent problem-solving and analytical skills
- Knowledge of network engineering principles and experience with network infrastructure design and implementation
- Strong programming skills in languages such as Python, Java, and SQL
- Strong communication and collaboration skills
- Familiarity with IoT devices, SCADA controllers, rod pump controllers, and other means of production optimization and monitoring in the oil and gas industry
Others:
- Comfortable relocating to Duri for work
- Comfortable working onsite with clients, up to 75% basis
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