Senior Process Engineer IA2IA -Upstream SA - Gas Lift Optimization Solutions Development

Not just a job, but a career

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About The Team

Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

Job Purpose

Yokogawa is seeking a highly motivated and experienced Petroleum Engineer to join our dynamic team in UAE. This role will be pivotal in developing and implementing innovative solutions for Upstream and in particular gas lift well optimization. The successful candidate will leverage their deep understanding of reservoir engineering, gas lift principles, well performance analysis, and data-driven methodologies to identify opportunities, design workflows, and deploy tools that maximize production and efficiency. You will collaborate closely with Partnering client organizations and their teams (like production operations, reservoir engineering, and data science teams) to deliver tangible results and contribute to our operational excellence.

Key Responsibilities & Accountabilities

• Identify Optimization Opportunities: Analyze well performance data, including production rates, pressures, gas injection volumes, and equipment parameters, to pinpoint wells with potential for gas lift optimization.
• Develop and Implement Optimization Strategies: Design and implement gas lift optimization strategies, including nodal analysis, injection gas rate optimization, valve spacing adjustments, and plunger lift integration where applicable.
• Develop Data-Driven Solutions: Utilize data analytics and machine learning techniques to build predictive models, automated workflows, and real-time monitoring dashboards for gas lift systems. Investigate the application of machine learning (ML) techniques for virtual flow metering (VFM) in oil wells.
• Tool and Workflow Development: Participate in the development and deployment of software tools, scripts, and workflows to streamline gas lift optimization processes and improve decision-making.
• Collaboration and Knowledge Sharing: Work closely with production operations, reservoir engineers, and data scientists to share knowledge, best practices, and lessons learned related to gas lift optimization.
• Research and Innovation: Stay abreast of the latest industry trends, technologies, and best practices in gas lift optimization and propose innovative solutions to enhance our operations.
  
  

Qualification And Experience

• A Master’s Degree in Petroleum Engineering or a related engineering discipline.
• 15 years of experience in Offshore/onshore Gas & Oil fields, with a strong focus on artificial lift, specifically gas lift design, specialized in engineering analysis and real-world, hands-on operational experience, asset optimization, and troubleshooting.
• Demonstrated experience in analyzing well performance data and applying engineering principles to optimize production.
• Proficiency in well performance analysis software (e.g., PIPESIM, PROSPER, GAP).
• Familiarity in AI/ML tools and programming languages (e.g., Python, R, SQL) is highly desirable and their application in the oil and gas industry is a plus.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively in a multidisciplinary team environment.
• Experience working in the Middle East region is advantageous.
  
  

Competencies

• Excellent communication skills, working with team, ability to energize.
• Knowledge of Oil and Gas, Petrochemicals, or specialized chemical Domain.
• Strong Knowledge on IIOT integration concepts will be a plus.
• Experience as a leader in DX projects will be a plus.
• Experience in both customer side and vender side will be a plus.
• Knowledge on Latest’s market trend
  
  

Skills

• Software skills in software analysis, design, methodology, and architecture
• Strong exposure to process automation and optimization technologies, including APC, RTO, automated data collection, historian applications (OSI PI a plus), visualization, quality and efficiency in manufacturing, automated decision control, workflow, database applications and scheduling.
• Basic knowledge on advanced data analysis is added value.
• Anticipates the needs for change and supports and promotes companywide programs, strategies, and initiatives.
• Develop and identifies Industry / application-wide Digital technologies suitable for business use.
• Creates an environment conductive to successful interaction and customer satisfaction.
• Early engagement with Customers and explore long term partnership agreements.
  
  

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

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