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.
Anthony J Sadar
Environmental Science Communication, LLC, United States
Selim Sanad Shaker
Geopressure Analysis Services, United States
Sharma Dronamraju
AKD Professional Solutions Inc., United States
Ross Cygan Taylor
North Sea Transition Authority, United Kingdom
Saleh Alqahtani
Saudi Aramco, Saudi Arabia
Abdulrahman Bahashwan
Saudi Aramco, Saudi Arabia
Ganesh Markad
Proclink Consulting, IndiaSubmit your abstract Today
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