Program Description
The course "Application of ML and AI in Digital Oil and Gas" aims to provide students with a comprehensive understanding of how ML and AI technologies are used in the oil and gas industry. Students will learn to apply ML and AI algorithms for data analysis, predictive modeling, optimization, and automation in various aspects of the industry. The course will cover topics such as reservoir characterization, production optimization, predictive maintenance, and safety monitoring, along with the associated challenges and ethical considerations.
Understand the fundamental concepts of machine learning and artificial intelligence in the context of the oil and gas industry. Gain knowledge of various ML and AI techniques and algorithms commonly used in digital oil and gas applications. Learn how to preprocess and analyze large-scale oil and gas data sets to extract valuable insights. Develop skills in building ML and AI models for predictive modeling, optimization, and automation in oil and gas operations. Understand the challenges, limitations.
Key Highlights
Comprehensive Curriculum: Covering a wide range of topics, including upstream, downstream, management, hydrogen-biofuels.
Industry-Relevant Knowledge: Understanding of the latest advancements, emerging technologies, and best practices in energy and petrochemical sectors.
Practical Applications: Case studies and projects.
Expert Faculty: Profound faculty members with extensive industry expertise.
Interdisciplinary Approach: Combining engineering principles, financial analysis, environmental considerations, and technological advancements.
Collaboration and Networking: Fostering a supportive learning environment and providing opportunities for mentorship and career development.
Career Prospects: Career opportunities in energy companies, petrochemical industries, consulting firms, government agencies, and research institutions.
Learning Format
Online
Duration
3 Months 4 sessions/week 2 live sessions/month Each recorded session will be 25 minutes and uploaded to the server and participants can get access.
Certified by
IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras
and
Zemblance
Program Fee
Rs. 15,000 + 18% GST for current studentsRs. 30,000 + 18% GST for contract employees
Rs. 40,000 + 18% GST for working professionals
Downloads
Program Description
Program Brochure
Education Qualification
Graduation in Engineering - Petroleum/Chemical/Mechanical/Civil/Mining/
Electrical/Electronics and Masters in Geophysics/Geology/Applied
Geology from recognized university (UGC/AICTE/DEC/AIU/State Government).
For International Participants - Students / Graduation or equivalent degree from any recognized University or Institution in their respective country.
Suggested Prerequisites
Fundamental knowledge of science, engineering, energy sector
Lead Faculty
Dr. Minou Rabiei, Associate Professor, Department of Energy and Petroleum Engineering, University of Wyoming, United States of America
Dr. Chandra Shekar L, Assistant Professor, Department of Computer Science &Engineering IIT Madras
Dr. Kalyanaraman Venugopal, Associate Research Scientist, Department of Energy and Petroleum Engineering, University of Wyoming, United States of America
