Key Responsibilities:
As a successful candidate you will be required to perform the following:
Provide expert guidance and oversight on best-in-class reservoir management principles, practices, and cutting-edge technologies across all Saudi Aramco hydrocarbon assets.
Formulate reservoir development, data acquisition, strategic surveillance, and monitoring of masterplans to optimize asset development and depletion strategies. This involves utilizing established reservoir management standards and guidelines to maximize Net Present Value (NPV) and hydrocarbon recovery.
Lead, design and practice in integrated field reviews and field development plans.
Prepare critical reservoir engineering inputs for drilling and workover proposals and programs, recommending innovative completion techniques for complex well configurations, including: horizontal and multilateral wells.
Lead and participate in reservoir engineering studies focused on optimizing ultimate recovery through reservoir stimulation modeling of various Improved Oil Recovery (IOR) processes.
Engage in professional development activities, such as: participating in technical societies and groups, sharing expertise, and mentoring young engineers to foster growth and excellence within the organization.
Minimum Requirements
As a successful candidate you will hold a:
Bachelor's degree in Petroleum Engineering or a related Engineering discipline from an accredited university. Advanced degree is a plus.
Minimum of 10 years of experience including at least 7 years specializing in oil reservoir management.
Training history of appropriate specialized courses and seminars is expected.
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.
Expertise in Artificial Intelligence, Machine Learning, and data analytics are preferred.
History of using modern reservoir management practices for oil reservoirs.
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