Abdallah Al Shehri

Saudi Aramco (United States), Saudi Aramco (Saudi Arabia)

Papers

Total Citations

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About

Abdallah Al Shehri’s research lies at the intersection of subsurface energy systems and intelligent sensor deployment, with a focus on real-time monitoring in fractured carbonate reservoirs and CO₂ storage environments. His most cited work, "A Novel Deep Reinforcement Sensor Placement Method for Waterfront Tracking" (2021, 13 citations), introduces a groundbreaking approach to identifying fracture channels and waterfront movements within flow corridors—critical for optimizing hydrocarbon recovery in complex carbonate structures. Building on this, his 2022 paper on "Real-Time Intelligent Sensor Selection for Subsurface CO2 Flow and Fracture Monitoring" (2 citations) extends these methods to carbon capture and storage, enabling adaptive sensor networks that track CO₂ migration. Al Shehri also addresses a persistent industry challenge in "Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor" (2022, 1 citation), tackling multipath interference and signal degradation in deep-well environments. His work uniquely combines reinforcement learning, wireless communication theory, and reservoir engineering to create autonomous, data-driven monitoring systems. Though early in his career, Al Shehri’s contributions are already shaping how engineers design sensor networks for both fossil fuel extraction and climate mitigation technologies.