COURSE DURATION: 4 Days

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LEVEL:  Foundation

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1. Introduction to AI and Machine Learning

   • Definition and History of AI

   • Types AI Systems (Taxonomy)

   • AI Tools and Platforms

2. Machine Learning Fundamentals

   •  Introduction to Machine Learning (Understanding the concept; explanation of the three main types of machine learning i.e. supervised, unsupervised and reinforcement learning; some illustrative real-world applications of machine learning)

   • Supervised Learning & Key Algorithms

   • Unsupervised Learning & Key Algorithms

   • Reinforcement Learning & Key Algorithms

   • Machine Learning Tools & Libraries

   • Hands-on Exercises (Simple coding exercises to implement basic algorithms and understand their behaviour)

3. Data Handling and Management

   • Data Collection and Storage Solutions

   • Big Data Analytics (Tools and methods for analysing large datasets)

   • Best practices for Data Management (with emphasis on data quality and data security)

4. Overview of AI Applications in the Oil and Gas Industry

   • Evolution of AI in the Oil and Gas Industry

5. Case Studies

   • AI in Exploration and Drilling (e.g. seismic data analysis and interpretation; well log interpretation; drilling optimisation)

   • AI in Production (e.g. production optimisation, production forecasting, reservoir management)

   • AI in Asset Integrity (e.g. pipeline monitoring and leak detection)

   • AI in Maintenance (e.g. equipment predictive maintenance)

   • AI in HSE (e.g. hazard identification and safety monitoring)

6. Current AI Challenges and Future Trends

7. Ethical and Legal Considerations

8. Course Assignment (Project work and presentation on “An AI Solution for An Oil and Gas Challenge”)

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INSTRUCTOR: TBA

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Course can be delivered 

Online or, either in Class room in Client´s permisses or in Algarve Portugal