HTME

COURSE OVERVIEW

TM0264 : AI in Oil & Gas Industry
AI in Oil & Gas Industry
OVERVIEW
COURSE TITLE : TM0264 : AI in Oil & Gas Industry
COURSE DATE : Oct 06 - Oct 10 2025
DURATION : 5 Days
INSTRUCTOR : Mr. Konstantin Zorbalas
VENUE : Abu Dhabi, UAE
COURSE FEE : $ 5500
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Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 
 
This course is designed to provide participants with a detailed and up-to-date overview of Artificial Intelligence in the Oil & Gas Industry. It covers the importance of big data in oil and gas and the Al for real-time data analysis; the Al in upstream, midstream, and downstream operations, and machine learning for oil and gas operations; the Al in reservoir characterization and exploration and seismic data interpretation; the Al for drilling optimization, wellbore stability, fracture prediction, production optimization and enhanced oil recovery (EOR); and the predictive analytics for oil and gas production and Al in predictive maintenance for oil and gas assets. 
 
During this interactive course, participants will learn the Al for pipeline monitoring and leak detection; the equipment health monitoring and oil and gas safety and risk management; the Al in environmental sustainability and emissions reduction, oil and gas supply chain optimization, transportation and fleet management; the Al for refinery process optimization, petrochemical industry, quality control, market analysis and trading in oil and gas; the Al trends and innovations in oil and gas, Al-powered robotics and automation in oil and gas; the predictive maintenance using Al and loT including Al-based autonomous oilfield management; and the Al for optimizing operational efficiency, Al-powered cost reduction strategies, Al for reducing energy consumption and Al-based waste management in refineries. 

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

Lectures
Practical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates : Only soft copy certificates will be issued
Training Materials : Only soft copy materials will be issued
Training Methodology : 80% theory, 20% practical
Training Program : 4 hours per day, from 09:30 to 13:30

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