Fundamentals of LNG
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This workshop introduces participants to the fundamentals of liquefied natural gas (LNG), covering the complete value chain from production and liquefaction to storage, transportation, and end-use. It provides a solid grounding in LNG technologies, markets, economics, and safety considerations, offering a balanced mix of technical and commercial perspectives.
Workshop Objectives
• By the end of this workshop, participants will be able to:
• Understand the LNG value chain and its role in global energy markets.
• Explain the basics of LNG production, liquefaction, and regasification.
• Recognize key safety and environmental aspects of LNG operations.
• Appreciate the commercial drivers influencing LNG trade and growth.
About the Presenter
The workshop is delivered by an experienced LNG professional with spanning technical operations and commercial market dynamics. Drawing on practical project and industry knowledge, the presenter offers participants a comprehensive introduction that bridges theory with real-world LNG applications.
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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.