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Home » Saudi Aramco jobs » Reservoir Simulation Engineer

Reservoir Simulation Engineer

Company	Saudi Aramco	Experience	more than 15 years
Date	2009-11-19	Salary	Competitive
Category	Exploration and Production	Start date	To be agreed
Region	Middle East	Duration	Long Term Permanent
Location		Country	Saudi Arabia
Description of Reservoir Simulation Engineer	• Conduct reservoir simulation studies. This includes model construction, history matching, calibration and prediction phases. Present and participate in project technical reviews. • Prepare progress reports on regular basis and final documentation upon completion of a study. • Apply special simulation modeling techniques for complex reservoir studies according to the candidate's specialty. • Propose and study various alternatives to develop new fields and/or optimize current production/injection strategies and has ability to analyze problems and recommend practical solutions. • Evaluate and apply new modeling techniques, tools or technologies. • Provide expert training and teach in-house technical courses to develop the young Saudi Aramco engineers. Get involved with national and international professional societies. • Represent Saudi Aramco in industry committees or specialized groups as appropriate.
Skills required for Reservoir Simulation Engineer	• Education: BS Petroleum Engineering or equivalent technical field. • Experience: 15 years of related experience, including 10 years of intensive experience in the area of reservoir simulation. • Preferred Requirements: MS or PhD in Petroleum Engineering or equivalent technical field and intensive industry training including appropriate specialized courses and seminars. • Candidate must have an outstanding technical capability in numerical reservoir simulation in which the candidate has received broad industry recognition through publications, committee activities, etc. • Key specialized area can be any one of the following: - Fractured reservoir modeling (DPDP). - Compositional Modeling. - Complex well and smart completion modeling. - Integrated surface facility and subsurface modeling. - SCAL and PVT modeling applications. - Neural network and artificial intelligence applications. - Streamline simulation.
Remarks
Reference Nr	F28-70005420
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