Oil Reservoir Management Engineer

Responsibilities:

• Provide guidance and oversight on best-in-class reservoir management tenets, practices and state-of-the art- technologies for all our client hydrocarbon assets.
• Formulate reservoir development, data acquisition, strategic surveillance and monitoring master-plans to ensure optimal development and depletion strategies.
• Utilize reservoir management standards and guidelines to enhance both NPV and hydrocarbon recovery.
• Lead, design and participate in integrated field reviews and field development plans.
• Preparing reservoir engineering input into drilling and work-over proposals and programs.
• Recommend advanced completion techniques for horizontal and multi-lateral wells.
• Lead and participate in reservoir engineering studies that include reservoir stimulation modeling of various IOR processes for improvement of ultimate recovery.
• Participate in technical societies and technical groups.

Requirements:

• As a successful candidate you should hold a Bachelor degree in Petroleum Engineering or related discipline.
• Master’s degree or PhD is desirable, but not required.
• A minimum of 10 years related experience including at least 7 years specializing in oil reservoir management.
• A training history of appropriate specialized courses and seminars is expected. 
• Technical publications are valued but in-depth practical experience is paramount.
• You must have full professional proficiency in English required to interact and communicate clearly with specialists in geology, core and fluid analysis, petrophysics, simulation, drilling, completion, production and facilities.
• You must have working knowledge of open-hole and cased-hole logs, geological modeling, simulation, completion and production procedures and technologies.
• Technical knowledge and expertise are required in formation evaluation, geological modeling, simulation, reservoir appraisal and field development planning, completion, production/injection procedures-strategy-technologies, water flooding, reservoir surveillance, SCAL, PVT, geochemical analysis, and fluid’s compatibility. Additionally, expertise in Artificial Intelligence, Machine Learning, and data analytics are desirable but not required.
• You must have history of using modern reservoir management practices for oil reservoirs.