Wednesday, October 29, 2025
8:00am – 2:00pm
Admission to this Short Course is available as an add-on or a single day registration item. The fee is in addition to or separate from conference registration.
Instructors:
- Dr. Matthew Franchek
- Dr. Ed Marotta
- Dr. Rafik Borji
Description:
As we navigate the digital transformation, AI stands at the forefront, offering unprecedented opportunities to enhance efficiency, safety, and sustainability. Our workshop, "Demystifying AI," will delve into the fundamentals of AI, including data preparation, classical machine learning, and generative AI, all tied to real-world applications in the oil and gas industry. Join us as we explore how these innovations can drive the future of energy and unlock new potentials in your operations.
Tentative Outline:
- Introduction to AI in Oil and Gas (30 minutes)
- Overview of AI: Brief introduction to AI and its significance in the oil and gas industry.
- Current Trends: Discuss the latest trends and advancements in AI technologies impacting the sector.
- Real-World Examples: Highlight key use cases such as seismic data analysis, predictive maintenance, and drilling optimization.
- Data Preparation for AI (1 hour)
- Importance of Data: Explain why high-quality data is crucial for AI applications.
- Data Collection and Standardization: Techniques for collecting and standardizing data.
- Data Cleaning and Preprocessing: Methods to ensure data completeness, accuracy, and readiness for AI models.
- Classical Machine Learning (1.5 hours)
- Introduction to ML: Basics of machine learning and its applications in oil and gas.
- ML Algorithms: Overview of common algorithms (e.g., regression, classification, clustering) and their use cases.
- Hands-On Session: Practical exercise using Python to build and evaluate a simple ML model (e.g., predictive maintenance).
- Case Studies: Discuss successful ML implementations in the industry.
- Generative AI (1 hour)
- Introduction to Generative AI: Explain generative AI and its capabilities.
- Applications in Oil and Gas: Explore how generative AI can be used for predictive maintenance, reservoir modeling, and simulation.
- Hands-On Session: Demonstrate generative AI techniques.
- Future Trends: Discuss the potential future impact of generative AI on the industry.
- Integration and Real-World Applications (1 hour)
- Combining AI Techniques: How to integrate data preparation, classical ML, and generative AI for comprehensive solutions.
- Interactive Discussion: Engage participants in discussing challenges and opportunities in implementing AI in their operations.
- Q&A Session: Open floor for questions and further discussion on specific topics of interest.