Introduction to Python and Petroleum Data Analytics

Übersicht

Petroleum Data Analytics (PDA) is revolutionizing the oil and gas sector by integrating Artificial Intelligence (AI) and Machine Learning (ML). This 12-week course is designed to provide budding petroleum professionals with a fundamental understanding of PDA.

Acknowledging that one course can't cover all PDA intricacies, this program offers a strong foundation for future exploration.

Participants will explore AI and ML basics relevant to addressing engineering challenges within the petroleum industry. For those in engineering fields, evolving into proficient AI and ML practitioners is key.

Leveraging these technologies enables optimization and innovation in exploration, production, and operational efficiency.

This course acts as a catalyst for professionals and enthusiasts, unveiling the transformative power of data-driven strategies and advanced analytics in reshaping the oil and gas industry's future.

Intended Audience:

Undergraduate, postgraduate, and PhD students, as well as professional practitioners in Petroleum Engineering, Petroleum Refinery Engineering, and Chemical Engineering.

Prerequisites:

A bachelor's degree in any engineering discipline.

Industry Support:

Leading companies such as ONGC, OIL, ESSAR, IOCL, CAIRN, and GAIL fully support this course.

Provider:

Swayam.

Fachgebiete