Centrifugal Compressor & Steam Turbine
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This workshop provides an in-depth understanding of centrifugal compressors and steam turbines as applied in oil and gas operations. It covers design principles, performance characteristics, operation, and maintenance practices, along with reliability and efficiency considerations. Participants will gain practical insights into optimizing the performance and lifecycle of these critical rotating equipment assets.
Workshop Objectives
• Understand the fundamentals of centrifugal compressor and steam turbine design.
• Apply international standards and best practices for operation and maintenance.
• Evaluate performance factors affecting reliability and efficiency.
• Identify and troubleshoot common operational and mechanical challenges.
• Strengthen technical decision-making for equipment optimization and lifecycle management.
About the Presenter
The workshop is delivered by an experienced industry professional in rotating equipment engineering, operation, and reliability improvement. With strong technical and training experience, the presenter provides practical, industry-focused knowledge to enhance participants’ ability to manage and optimize compressors and turbines effectively.
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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.