Digital Twin & Smart Oilfields for Sustainable Operations

Real-time monitoring and predictive analytics are transforming digital twin & smart oilfields for sustainable operations, improving efficiency and reducing environmental impact. Digital twin technology integrates AI, IoT, and cloud computing to create virtual replicas of oilfield assets, enabling predictive maintenance and optimized production planning. Smart oilfields utilize automated data collection from sensors and drones to enhance safety and reduce downtime. AI-driven analytics are identifying energy savings and emission reduction opportunities. The increasing reliance on real-time data and machine learning is streamlining decision-making. By enhancing asset performance and minimizing operational risks, digitalization is ensuring the long-term sustainability of hydrocarbon production.

Committee Members
Speaker at Oil, Gas and Petroleum Engineering 2026 - Anthony J Sadar

Anthony J Sadar

Environmental Science Communication, LLC, United States
Speaker at Oil, Gas and Petroleum Engineering 2026 - Selim Sanad Shaker

Selim Sanad Shaker

Geopressure Analysis Services, United States
Speaker at Oil, Gas and Petroleum Engineering 2026 - Sharma Dronamraju

Sharma Dronamraju

AKD Professional Solutions Inc., United States
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