Join the course "AI & ML Applications in Oil and Gas Industry" for a comprehensive journey through the vital aspects of the oil and gas sector. Discover both fundamental insights and cutting-edge applications of Artificial Intelligence (AI) and Machine Learning (ML), gaining a holistic understanding of industry principles while uncovering the transformative potential of these technologies.
This course kicks off with an in-depth exploration of crude oil origins, reservoir types, and the life cycle of oil and gas fields. It unveils the intricacies of exploration methods, drilling processes, gathering stations, and surface production and separation facilities. Learn about crude oil treating systems, natural gas processing, and onshore/offshore hydrocarbon storage facilities.
Delve into the forefront of AI and ML applications in the oil and gas industry. Discover how ML enhances seismic data processing, geomodelling, and reservoir engineering, enabling accurate reservoir characterization and optimal production engineering. Explore AI's revolutionary impact on the upstream sector, which includes exploration, drilling, and production optimization.
Stay updated on the latest advances in AI technology and big data handling, empowering learners to drive innovation and efficiency within the industry.
Target Learners: Students pursuing Diploma, UG, or PG programs in Chemical, Petroleum, Oil, and Gas Engineering, as well as faculties, working professionals in these domains, and other aspiring learners.
Prerequisite: Basic understanding of Chemical, Petroleum, or Oil and Gas Engineering and basic Python knowledge.
University: [Üniversity Name]
Provider: Coursera
