AI & ML Applications in Reservoir Engineering
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This workshop examines how artificial intelligence and machine learning are reshaping reservoir engineering by enhancing prediction accuracy, streamlining workflows, and enabling data-driven decision-making. Participants will explore practical applications that improve reservoir modeling, production forecasting, and operational efficiency.
Workshop Objectives
• Understand the role of AI and ML in modern reservoir engineering.
• Learn techniques for applying predictive models to reservoir performance.
• Explore case-based applications in production optimization and risk reduction.
• Identify best practices for integrating AI/ML into reservoir workflows.
About the Presenter
The workshop will be conducted by an experienced professional in reservoir engineering, digital transformation, and data analytics. Combining technical depth with applied industry knowledge, the presenter offers practical guidance on leveraging AI and ML to drive efficiency and value in oil and gas operations.
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For PEA Members Only
Crude Oil and Water Treatment
This workshop provides a practical overview of crude oil and produced water treatment processes, focusing on methods to ensure product quality, environmental compliance, and operational efficiency. Participants will gain insights into separation techniques, treatment technologies, and challenges associated with handling production fluids in upstream operations.