Petroleum Engineering with AI Applications

About this course

Petroleum Engineering with AI Applications offers a comprehensive learning experience combining upstream and midstream operations with AI. The course covers the oil and gas field life cycle, including exploration, drilling, oil recovery, transportation, separation systems, storage, natural gas production and processing, safety, utilities, environmental concerns, and AI applications. Explore hydrocarbon reservoirs with geological and geophysical techniques. Learn drilling operations, well construction, equipment selection, and wellbore stability to optimize processes. Discover primary, secondary, and enhanced oil recovery methods like water flooding and gas injection. Midstream operations cover pipeline systems, gathering stations, separation processes, oil treatment, storage, and safety measures. Understand natural gas extraction and purification principles. Learn about auxiliary equipment and utilities for upstream operations, including power and water treatment. Emphasize safety protocols, environmental regulations, and sustainable practices. Apply AI and ML in the petroleum industry to enhance decision-making, optimize workflows, and address operational challenges. This course integrates traditional petroleum engineering with AI advancements, enhancing efficiency and productivity in the industry.

Course objectives

• integrate traditional petroleum engineering principles with AI advancements
• address operational challenges using AI applications
• emphasize safety protocols and environmental regulations in the petroleum industry