• As the Oil and Gas industry undergoes transformation, there is a heightened need to amalgamate leadership prowess, domain expertise, and knowledge, addressing the persisting data silos within organizations. This course is designed to provide a foundational understanding of the petroleum industry and machine learning, along with comprehensive data management. Its primary aim is to empower organizations within the industry to leverage their data effectively, mitigating the omnipresent risk and uncertainty prevalent in the oil and gas sector, and fostering a path to success.

By the end of this training, participants will learn to:

• Apply Machine learning concepts in oil and gas industry
• Learn to identify the impact of data quality and data management on success of oil and gas enterprise
• Acquire the knowledge about data management framework
• Identify the machine learning algorithms applied within the oil and gas industry
• Apply Machine Learning Algorithm to predict problems in the oil and gas fields operations.

This training course is suitable to a wide range of professionals but will greatly benefit:

• Petroleum Data Analysts
• Petroleum Engineers
• Systems Analysts
• Programmers
• Data Analysts
• Database Administrators
• Project Leaders
• Managers
• Software Engineers

This  Training will be highly interactive with opportunities to advance your opinions and ideas and will include:

• Lectures
• Workshop & Work Presentation
• Case Studies and Practical Exercise
• Videos and General Discussions

Day 1

• What is artificial intelligence?
• Applications of artificial intelligence in oil and gas industry.
• Case studies and examples of the application of Artificial Intelligence in Oil and gas Industry.

Day 2

• Introduction to Machine Learning
• History of machine learning in oil and gas industry
• Machine Learning Algorithms.
• Artificial neural network (ANN).
• Data Management from the DCS to the Historian

Day 3

• Project Management for a Machine Learning Project
• Big Data in Oil and Gas Industry
• Detecting Electric Submersible Pump Failures                                    

Day 4

• Predictive and Diagnostic Maintenance for Rod Pumps
• Forecasting Slugging in Gas Lift Wells
• Machine Learning application to optimize production in heavy oil reservoirs.

Day 5

• Rate of Penetration Prediction in Drilling Operation in Oil and Gas Wells by K-Nearest Neighbors and Multilayer Perceptron Algorithms.
• Prediction of fold-of-increase in productivity index post limited entry fracturing using artificial neural network

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.