Understanding reservoir behavior is crucial for maximizing hydrocarbon extraction while maintaining economic and environmental balance. Reservoir engineering & enhanced oil recovery techniques focus on optimizing production through advanced modeling, fluid dynamics, and innovative recovery strategies. Methods such as chemical injection, microbial EOR, and thermal recovery are enhancing yields from declining fields. Digital twins and real-time monitoring allow for predictive decision-making, improving efficiency and reducing operational risks. The integration of artificial intelligence and machine learning is revolutionizing subsurface analysis, enabling more precise recovery strategies. As energy demand grows, advancements in reservoir engineering continue to play a vital role in extending the life of existing fields while ensuring sustainable production.
Title : An integrated and scalable workflow for evaluating polymer flooding and conformance control strategies in heterogeneous waterflooded reservoirs
Farah Faiz, SLB Digital, Colombia
Title : A novel geomechanical workflow for well design optimization through a new approach in friction coefficient estimation, a case study from West Delta Deep Marine Concession, Mediterranean Sea, Egypt
Akram Sami Elsherbiny Ali Hussein, Rashid Petroleum Company, Egypt
Title : Development and validation of an in-house Python workflow for pressure transient analysis of oil wells against commercial software (KAPPA Saphir)
Waad Faraj Mohamed Elarbi, Waha Oil Company, Libya
Title : HALP system: An edge-AI and two-tier architecture for cost-effective structural health monitoring in extreme industrial environments
Menna Allah Abdelnabi Mohamed Ali, Higher Institute for Engineering in Belbeis, Egypt
Title : Multi-scale evaluation of mechanical properties of the geomaterials
Hem Bahadur Motra, University of Kiel, Germany