Understanding LNG Terminals & Terminal Operations
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This workshop provides a practical overview of LNG terminals and their operations, covering design, infrastructure, safety systems, and day-to-day management. Participants will learn how LNG is received, stored, and regasified, as well as the commercial and operational considerations that drive terminal performance and reliability.
Workshop Objectives
• By the end of this workshop, participants will be able to:
• Understand the design and function of LNG import and export terminals.
• Explain key processes including unloading, storage, regasification, and send-out.
• Recognize operational challenges, safety systems, and risk management practices.
• Evaluate commercial and logistical factors influencing LNG terminal operations.
About the Presenter
The workshop is led by an LNG operations specialist with experience in terminal management, safety, and project development. Combining technical knowledge with real-world case studies, the presenter equips participants with actionable insights into both the technical and commercial aspects of LNG terminal operations.
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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.