Extended Reach Drilling
Premium Workshop
For PEA Members Only
This workshop covers the principles and practices of extended reach drilling (ERD), focusing on planning, design, and execution strategies for challenging well trajectories. Participants will gain insights into torque and drag management, hole cleaning, and wellbore stability, with emphasis on achieving technical limits while maintaining safe and cost-effective operations.
Workshop Objectives
• Understand the fundamentals and applications of extended reach drilling.
• Learn key design considerations for trajectory planning and well construction.
• Explore techniques for managing torque, drag, and hole cleaning challenges.
• Apply best practices to improve drilling performance and operational reliability.
About the Presenter
The workshop is conducted by an experienced drilling professional in well engineering and extended reach operations. With a strong background in technical design and field execution, the presenter provides participants with both practical strategies and proven industry practices.
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.