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

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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)

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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)

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Overview of AI Applications in the Oil and Gas Industry

• Evolution of AI in the Oil and Gas Industry

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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)

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• Current AI Challenges and Future Trends

• Ethical and Legal Considerations

• 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