Artificial Intelligence & Machine Learning for Oil & Gas Operations Training Course

Course Overview

Learning Objectives

• By the end of the course, participants will be able to:
• Understand the fundamentals of Artificial Intelligence and Machine Learning in oil and gas operations.
• Identify high-value AI and ML applications across the oil and gas value chain.
• Evaluate data requirements and data quality for AI-driven applications.
• Apply machine learning approaches to operational and production data.
• Develop predictive models for equipment performance and operational risks.
• Apply AI techniques to production optimization and forecasting.
• Evaluate AI applications for wells, reservoirs, facilities, and production systems.
• Use anomaly detection to identify abnormal operational conditions.
• Assess the use of AI for predictive maintenance and asset reliability.
• Evaluate AI model performance, accuracy, and operational relevance.
• Identify governance, cybersecurity, explainability, and responsible AI requirements.
• Develop practical strategies for implementing AI and ML solutions in oil and gas operations.

Who Should Attend

Learning Outcomes

• Upon completion of the course, participants will be able to:
• Assess AI and ML opportunities across oil and gas operations.
• Identify suitable AI use cases based on operational requirements and business value.
• Evaluate the quality, availability, and suitability of operational data.
• Prepare and structure data for machine learning applications.
• Select appropriate machine learning approaches for different oil and gas problems.
• Develop predictive models for production, equipment, and operational performance.
• Apply anomaly detection techniques to identify abnormal operating conditions.
• Use AI-based forecasting to support production and operational planning.
• Evaluate AI applications for predictive maintenance and asset reliability.
• Interpret AI model results and assess model performance.
• Identify AI governance, cybersecurity, explainability, and data management requirements.
• Develop an implementation roadmap for AI and ML adoption in oil and gas operations.

Course Outline