Static Equipment in Oil and Gas Industry
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This workshop provides a comprehensive overview of static equipment used in oil and gas facilities, focusing on their design, operation, and maintenance. Participants will gain insights into the role of vessels, heat exchangers, storage tanks, and other critical equipment that ensure safe and efficient plant performance.
Workshop Objectives
• Understand the functions and classifications of static equipment.
• Review design codes, standards, and compliance requirements.
• Examine fabrication, inspection, and maintenance practices.
• Explore common operational challenges and mitigation strategies.
• Strengthen knowledge of reliability, safety, and lifecycle management.
About the Presenter
The workshop is conducted by an engineering professional with experience in equipment design and facility operations within the oil and gas sector. The presenter combines technical expertise with practical industry knowledge, delivering insights that align with international standards and best practices.
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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.