AI-Driven Reservoir Optimization for Oil & Gas Efficiency
This workshop explores how artificial intelligence is transforming reservoir optimization by enabling smarter, faster, and more accurate decision-making. Participants will gain insights into applying AI and machine learning to enhance production forecasting, streamline surveillance, and improve overall reservoir performance.
Workshop Objectives
• Understand the role of AI and machine learning in reservoir engineering.
• Learn how to apply predictive models for production and recovery optimization.
• Explore data-driven approaches to streamline surveillance and reduce uncertainties.
• Examine best practices for integrating AI tools into oil and gas operations.
About the Presenter
The workshop will be conducted by an experienced professional in reservoir engineering, digital technologies, and AI applications. Combining technical knowledge with field experience, the presenter delivers practical guidance to help participants harness AI for improved efficiency and sustainable reservoir management.
Applied Python for Oil & Gas
This workshop teaches practical Python programming tailored for the oil and gas industry. Participants will learn to automate workflows, manage large datasets, perform petrophysical and production data analysis, and integrate Python with industry-standard software tools. The course emphasizes real-world applications such as reservoir monitoring, production optimization, and data-driven decision-making.