Well Abandonment - Plug, Abandonment and Decommissioning
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This workshop provides an in-depth overview of well abandonment, focusing on the processes of plugging, abandonment, and decommissioning. Participants will gain insight into regulatory requirements, technical methods, and industry best practices that ensure safety, compliance, and environmental protection during the end-of-life stage of wells.
Workshop Objectives
• Understand the principles and objectives of well abandonment.
• Review regulatory frameworks and international guidelines.
• Examine plugging techniques, barriers, and integrity requirements.
• Explore decommissioning strategies and environmental considerations.
• Strengthen knowledge of risk management and cost optimization in abandonment projects.
About the Presenter
The workshop is conducted by an experienced professional in well engineering, regulatory compliance, and decommissioning projects. Combining technical knowledge with applied field experience, the presenter delivers practical insights into safe, cost-effective, and environmentally responsible well abandonment 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.