Digital Oilfield & Smart Field Technologies
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This workshop explores how digital oilfield and smart field technologies are transforming upstream operations through real-time data, advanced analytics, and automation. Participants will gain practical insights into deploying digital solutions that improve efficiency, enhance decision-making, and drive safer, more reliable operations.
Workshop Objectives
• Understand the core concepts of digital oilfield and smart field integration.
• Learn how real-time data acquisition and analytics support optimized production.
• Explore applications of automation, IoT, and predictive technologies in field operations.
• Identify best practices for implementing digital strategies in oil and gas assets.
About the Presenter
The workshop will be conducted by an industry professional with extensive experience in digital transformation and oilfield technologies. With a strong background in integrating data-driven solutions into field operations, the presenter provides practical knowledge to help participants harness technology for improved asset performance.
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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.