Subsurface Uncertainty Quantification Using Machine Learning: Improved Reservoir Management Through Data Driven Predictions 2026

Szczegóły wydarzenia:

• Data:
• Czas: 09:00 AM-06:00 PM (expected)
• Lokalizacja: Malaysia , Kuala Lumpur
• Typ:

The upcoming event, "Subsurface Uncertainty Quantification Using Machine Learning: Improved Reservoir Management Through Data Driven Predictions," will take place from January 19 to January 22, 2026, in the vibrant Federal Territory of Kuala Lumpur, Malaysia. This conference aims to explore the cutting-edge intersection of machine learning and reservoir management, providing participants with insights into data-driven predictions that can significantly enhance decision-making processes in subsurface resource management. Attendees will engage with leading experts in the field, participate in interactive workshops, and network with professionals dedicated to advancing the application of machine learning in addressing uncertainties in subsurface environments.

Najważniejsze punkty

• Comprehensive 5-day training course focusing on subsurface uncertainty quantification using machine learning techniques.
• Designed to enhance reservoir management through data-driven predictions.
• Scheduled from May 18 to May 22, 2026, in Kuala Lumpur, Malaysia.
• Early bird registration fee is SGD 4,199 per person.
• Discounted rates available for teams of 7 or 10 participants from the same organization.
• Course code: PE2158.
• Alternative sessions available in London, UK, and Kuala Lumpur, Malaysia, in September 2026.
• Organized by petroEDGE, a leading provider of energy industry training courses.
• Focuses on applying machine learning to address challenges in subsurface formations.
• Aims to improve decision-making in reservoir management through advanced data analytics.

View the event location on the map or open the route in Google Maps.