By the end of this course, participants will be able to:

• Understand the basic concepts of Artificial Intelligence (AI) and Machine Learning (ML).
• Learn the main types of machine learning and how they work.
• Recognize the importance of AI in the petroleum industry.
• Explore common AI and ML applications in upstream oil and gas operations.
• Understand the use of machine learning in drilling, reservoir, and production engineering.
• Learn how AI can help optimize production and predict well performance.
• Gain basic knowledge of data preprocessing and machine learning workflows.
• Get started with Python programming for machine learning applications.

This course is designed for:

• Petroleum Engineers
• Reservoir Engineers
• Production Engineers
• Drilling and Completion Engineers
• Geologists and Geoscientists
• Petrophysicists
• Field and Operations Engineers
• Data Analysts in the Oil & Gas sector
• Digital Transformation Professionals
• Engineering Supervisors and Managers
• Graduate Engineers and Students interested in AI applications in petroleum engineering

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

DAY 1: Introduction to artificial intelligence

• What is artificial intelligence?
• Different applications of artificial intelligence.
• Why we need artificial intelligence in the petroleum industry.

DAY 2: Types of machine learning

• Different types of machine learning.
• The most common machine learning algorithms.
• Artificial neural network (ANN).

DAY 3: Applications of machine learning in the upstream industry

• Digital oilfield implementations
• History of machine learning in oil fields
• Applications in geosciences, reservoir, and drilling engineering

DAY 4: Application of machine learning in oil & gas production

• Production Engineering Overview
• Production Optimization
• Predicting Well Rate Potential
• The most common applications in production engineering

DAY 5: Implementation of machine learning different algorithms

• Different programming languages.
• Data Preprocessing
• Python Programming.
• Installation and getting started with python

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

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