Rotating Equipment Engineering
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For PEA Members Only
This workshop offers an in-depth understanding of rotating equipment engineering in the oil and gas industry, covering pumps, compressors, turbines, and related machinery. Participants will explore design considerations, performance optimization, reliability strategies, and international standards to ensure safe and efficient operation of critical rotating assets. Practical insights are emphasized to address challenges across the equipment lifecycle.
Workshop Objectives
• Understand the design and operational principles of rotating equipment.
• Apply international codes and best practices to equipment selection and use.
• Analyze performance factors influencing efficiency and reliability.
• Identify common issues in operation, maintenance, and troubleshooting.
• Strengthen technical decision-making for rotating equipment management.
About the Presenter
The workshop is led by a highly experienced industry professional in rotating equipment design, operation, and maintenance within oil and gas facilities. With a background in engineering practice and technical training, the presenter delivers practical, industry-relevant knowledge aimed at enhancing participants’ technical proficiency and problem-solving capabilities.
Premium Workshop
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.