Multiphase Pumping
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For PEA Members Only
This workshop examines the principles and applications of multiphase pumping in oil and gas production. Participants will explore system design, operational considerations, and performance evaluation, gaining a clear understanding of how multiphase pumping enhances efficiency in transporting oil, gas, and water mixtures.
Workshop Objectives
• Understand the fundamentals of multiphase flow and pumping.
• Review pump types, selection criteria, and design factors.
• Examine system integration and operational challenges.
• Explore methods for monitoring, troubleshooting, and performance optimization.
• Recognize safety and reliability requirements in multiphase pumping applications.• Understand the fundamentals of multiphase flow and pumping.
• Review pump types, selection criteria, and design factors.
• Examine system integration and operational challenges.
• Explore methods for monitoring, troubleshooting, and performance optimization.
• Recognize safety and reliability requirements in multiphase pumping applications.
About the Presenter
The workshop is led by a seasoned professional in production systems and flow assurance. Drawing on a background in engineering design, operations, and training, the presenter provides practical insights into applying multiphase pumping technologies to improve production efficiency and field development strategies.
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.