Press Enter To See All Search Results
Search results for:
Application of EOR Methods
Saturday, December 19, 2026
9 PM Indian Time
90 Minutes
Premium Workshop
For PEA Members Only
This workshop introduces participants to Enhanced Oil Recovery (EOR) methods and their practical application in extending reservoir life and improving recovery. It covers thermal, chemical, and gas injection techniques with a focus on selecting and implementing the most effective approach for different reservoir conditions.
Workshop Objectives
• Identify and classify different reservoir drive mechanisms.
• Evaluate reservoir performance under varying drive conditions.
• Understand implications of drive mechanisms on recovery efficiency.
• Apply knowledge to optimize production strategies and field development plans.
• Evaluate reservoir performance under varying drive conditions.
• Understand implications of drive mechanisms on recovery efficiency.
• Apply knowledge to optimize production strategies and field development plans.
About the Presenter
The presenter is an experienced reservoir engineering professional in advanced recovery methods, production optimization, and field development. With a strong background in both industry practice and technical training, the presenter delivers practical knowledge supported by real-world applications.
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.