Pressure Vessel and Heat Exchanger Design
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For PEA Members Only
This workshop provides a comprehensive overview of pressure vessel and heat exchanger design in the oil and gas industry. It covers design principles, material selection, thermal and mechanical considerations, and compliance with international codes. Participants will gain practical insights into ensuring safety, reliability, and efficiency in the design and operation of critical process equipment.
Workshop Objectives
• Understand the fundamentals of pressure vessel and heat exchanger design.
• Apply international standards and codes in design and compliance.
• Evaluate thermal and mechanical design parameters for safe operation.
• Address common design and operational challenges in fabrication and use.
• Strengthen technical decision-making for efficient equipment performance.
About the Presenter
The workshop is conducted by an experienced industry professional in process equipment design, engineering standards, and operational reliability. With a strong background in both technical practice and training delivery, the presenter provides practical, industry-focused knowledge to enhance participants’ skills in equipment design and application.
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.