Skills you'll gain

There are 2 modules in this course

This course begins with an in-depth exploration of the origin and formation of crude oil, types of reservoirs and the entire life cycle of oil and gas fields. It reveals the intricacies of oil and gas exploration methods, drilling processes, gathering stations and surface production/separation facilities. It covers the essentials of crude oil treating systems, natural gas processing and onshore/offshore hydrocarbon storage facilities. This course delves into the forefront of AI&ML applications within the oil and gas industry. It explains how ML techniques enhance seismic data processing, geomodelling and reservoir engineering, enabling accurate reservoir characterization and optimal production engineering. It also explores the vast potential of AI in the upstream sector, revolutionizing exploration, drilling and production optimization. It keeps the learners updated on the latest advances in AI technology and big data handling, empowering them to drive innovation and efficiency in the industry. Target learners: Students pursuing Diploma / UG / PG Programs in Chemical/ Petroleum/ Oil and Gas Engineering. Faculties / Working Professionals in the above domain & other aspiring learners. Prerequisite: Basic Chemical/ Petroleum/ Oil and Gas Engineering with Basic Python knowledge.

AI&ML Applications in Oil and Gas Industry

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