Flare and Snuffing System, Operation, Startup and Shutdown
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For PEA Members Only
This workshop provides a focused understanding of flare and snuffing systems used in oil and gas facilities. It covers system design, operational principles, and safe procedures for startup and shutdown. Participants will learn how to manage combustion efficiency, handle emergency flaring situations, and maintain system reliability while ensuring compliance with safety and environmental standards.
Workshop Objectives
• Understand the function and components of flare and snuffing systems.
• Learn safe operating procedures for startup, shutdown, and emergency conditions.
• Identify common operational issues and apply effective troubleshooting methods.
• Review best practices for safety, reliability, and environmental compliance.
About the Presenter
The workshop is conducted by an experienced industry professional with a solid background in process operations, plant safety, and production systems. The presenter shares practical insights drawn from field operations to help participants strengthen their technical understanding and operational decision-making.
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For PEA Members Only
Modern Reservoir Characterization : Integrating Artificial Intelligence (AI) with Traditional Methods
During this workshop, participants will develop a more comprehensive grasp of the geophysical theory of seismic inversion and explore advanced seismic reservoir characterization techniques. Discover the essential steps in the seismic reservoir characterization workflow using machine learning, covering data processing to inversion analysis. Acquire valuable knowledge applicable to your everyday projects.In classical reservoir characterization, it is commonly assumed that the reservoir exhibits both elastic and hydraulic isotropy. However, real reservoirs often exhibit anisotropic characteristics and spatial heterogeneity on multiple scales. Relying solely on core and log data may not accurately represent the larger reservoir volume. Therefore, the most effective way to accurately analyze the physical properties of most actual reservoirs, across their entire volume, involves utilizing advanced machine learning methods for acquired and interpreted seismic data.