Acid Gas Treating & Sulfur Recovery
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For PEA Members Only
This workshop covers the principles and practical applications of acid gas treating and sulfur recovery in oil and gas operations. Participants will learn about common treating processes, gas sweetening techniques, and sulfur recovery methods, focusing on operational efficiency, safety, and environmental compliance. The session emphasizes process optimization and troubleshooting for sustainable plant performance.
Workshop Objectives
• Understand the fundamentals of acid gas composition and removal methods.
• Learn key gas sweetening and sulfur recovery processes.
• Identify operational challenges and implement effective troubleshooting techniques.
• Review best practices to optimize performance while ensuring safety and compliance.
About the Presenter
The workshop is conducted by an experienced industry professional with a strong background in gas processing, treatment operations, and plant optimization. The presenter shares practical insights from field experience to help participants enhance their operational knowledge and decision-making skills.
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.