AI Applications in Upstream Production Optimization

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Start Date

09/02/2026

End Date

13/02/2206

Category

Artificial Intelligence & Emerging Tech

Country

Madrid

Course Overview

This course focuses on the use of AI in enhancing upstream oil and gas production. Topics include reservoir modeling, flow rate optimization, production forecasting, and anomaly detection using AI and machine learning.

Course Objectives

• Apply AI to reservoir and production optimization.
• Use real-time data to forecast production and detect anomalies.
• Analyze flow dynamics with ML models.
• Optimize artificial lift systems with predictive insights.
• Improve decision-making with intelligent dashboards.

Course Outline

• Introduction to AI in Upstream Operations
• Data Sources: Sensors, SCADA, Logs
• Machine Learning Models for Production
• Real-Time Monitoring and Optimization
• Artificial Lift Performance and Prediction
• Case Studies in Reservoir and Well Management

Target Audience

Production engineers, reservoir engineers, data scientists, and digitalization managers.

Methodology

Hands-on AI tools, simulation models, well performance dashboards, and group projects.

Conclusion

Participants will be equipped to deploy AI for production gains, cost savings, and smarter upstream operations.

Daily Agenda

1 Day

AI in Upstream Overview

2 Day

Production Forecasting

3 Day

Lift Optimization

4 Day

Anomaly Detection

5 Day

Smart Ops Strategy