SS
Shi Su
SLB, Imperial College London, École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des Télécommunications
0009-0001-3791-6798
Employment
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SLB Product Champion - Next-Gen Reservoir Engineering2024 - Present
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SLB Domain Data Scientist2023 - 2024
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SLB Innovation Projects Lead / Senior Reservoir Engineer? - 2023
Education
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Imperial College London MSc Petroleum Engineering2011 - 2012
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École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des Télécommunications MSc Fluid Mechanics2009 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Unlocking Reservoir Potential: AI-Driven Integrated Well Placement Under Uncertainty in a Giant Onshore Field Save
- Assessment of Static Models by Performing Fast-Track History Matching Save
- AI-Assisted History Matching Application to a Large Onshore Carbonate Reservoir Save
- An AI-Driven Multiwell Placement and Scheduling Method Save
- Deep Learning-Driven Optimization of Development Plans for Hydrocarbon Reservoirs Save
- End-to-End Reservoir Surveillance Optimization Through Automated Value of Information Assessments Save
- Maximizing the Value of Gas Lift for Efficient Field Development Plan Optimization Through Smart Gas Lift Optimization in a Giant Onshore Carbonate Oilfield Save
- Rapid Model Update - Enabling Fast, Structured Dynamic Model Updates Leveraging Automation Save
- A Comparative Study for Deep-Learning-Based Methods for Automated Reservoir Simulation Save
- Vertical Composition Variation with Multiple Samples for Reservoir Model Initialization Save