Production Engineer - Well Performance Optimization

Job Description

1 About this position: This position supports technology development and expert consulting for all types of artificial lift design and troubleshooting (ESP, gas lift, plunger lift, PCP, and rod pump), well performance optimization, problem well analysis, liquid unloading, Well Integrity and general production engineering. Responsible for providing on demand technical services directly to MCPs and BU asset teams and supporting projects focused on improving the reliability and performance of wells in general. Responsibilities may also include full or part-time participation in subsurface platform activities as Product Owner, Product Line Mgr., etc. as needed. Key Responsibilities: Analysis and evaluation of Artificial Lift related topics such as design, optimization and troubleshooting as direct support to a BU or as a team member with other SMEs Support to BU in Well Integrity related issues and specifically around Casing Pressure Management, Subsurface safety valves, WellHead valves and well completion Teaming with other disciplines and BU partners, responsibilities may include participation in Production Engineering activities Promotes the use of the WRO Technical Standard Provide consulting and on demand support in production optimization and well performance Supports base business activities in business units Required Qualifications: Bachelor s degree in Petroleum Engineering, MSc in Petroleum Engineering is a plus Domain expertise in general Production Engineering Experience in Artificial Lift design, optimization and troubleshooting. Proven experience in Well Integrity Management Demonstrated experience in Well Failure reviews and analysis Familiarity with PETEX IPM or any other Nodal Analysis software Experience in production analysis and optimization workflows Preferred Qualifications: Broad experience in data analytics and analysis is strongly desired Proficient use and understanding of PETEX IPM Expertise in Data Sciences, including the development and application of machine learning algorithms, to predict AL and well failures, and improve decision-making processes Applied skills in petroleum engineering concepts. Familiar with surveillance, analysis, and optimization (SA&O). Capable of planning, implementing, and analyzing surveillance programs Chevron participates in E-Verify in certain locations as required by law.