In AGU Fall 2022 (12-16 December), we will talk about our recent research work by applying deep learning in reservoir heterogeneity characterization and CCUS, including,

1) In Session U32A, talk about Inversion Neural Network: A Deep Learning Approach for Reservoir Heterogeneity Characterization Inspired by the Fast Marching Method, by Prof. Bicheng Yan;

2) In Session GC15B, talk about Deep-Learning-based Prediction of Geological CO2 Sequestration in Highly Heterogeneous Naturally Fractured Reservoirs, by Dr. Zeeshan Tariq;

3) In Session H16H, talk about Deep Learning Based Surrogate Model of CO2 Mineral Trapping in Heterogenous Reactive Formations, by Ertugrul Yildirim;

Also, Prof. Yan will co-convey the session Advances in CO2 Capture, Transport, Utilization, and Storage Technologies along with Drs. Bailian Chen and Nathan Moodie