1. (2023). An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks. Applied Energy, 333, Article 120604.
2. Recognition for underground voids in c-scans based on lstm using ground penetrating radar;Bai,2022
3. Physics-constrained deep learning of geomechanical logs;Chen;IEEE Transactions on Geoscience and Remote Sensing,2020
4. Intelligent real-time earthquake detection by recurrent neural networks;Chin;IEEE Transactions on Geoscience and Remote Sensing,2020
5. Synthetic geochemical well logs generation using ensemble machine learning techniques for the Brazilian pre-salt reservoirs;de Oliveira;Journal of Petroleum Science and Engineering,2021