As a key step that moving forwards to the green energy era, the applications in Carbon Capture and Storage become more important than ever. We prioritized the research and development specifically for the CO2 plume monitoring task.
Cyentech investigated a deep learning enhanced framework specifically for CO2 plume reservoir monitoring in real-time. It minimizes the risk of failed CO2 plume monitoring and guarantees the safety and efficiency of real-time reservoir monitoring.
- Joint inversion of multi-physics monitoring data including seismic and electromagnetic data
- Deep learning framework using deep neural network and large training dataset
- Tuned specified for CO2 storage reservoirs and reached high-performance and accuracy