| Production performance of oil shale in-situ conversion with multilateral wells X Song, C Zhang, Y Shi, G Li Energy 189, 116145, 2019 | 51 | 2019 |
| U-net generative adversarial network for subsurface facies modeling C Zhang, X Song, L Azevedo Computational Geosciences 25 (1), 553-573, 2021 | 39 | 2021 |
| Real-time prediction of rate of penetration by combining attention-based gated recurrent unit network and fully connected neural networks C Zhang, X Song, Y Su, G Li Journal of Petroleum Science and Engineering 213, 110396, 2022 | 20 | 2022 |
| Real-time and multi-objective optimization of rate-of-penetration using machine learning methods C Zhang, X Song, Z Liu, B Ma, Z Lv, Y Su, G Li, Z Zhu Geoenergy Science and Engineering 223, 211568, 2023 | 6 | 2023 |
| Real-time prediction of logging parameters during the drilling process using an attention-based Seq2Seq model R Zhang, C Zhang, X Song, Z Li, Y Su, G Li, Z Zhu Geoenergy Science and Engineering 233, 212279, 2024 | 5 | 2024 |
| Early Gas Kick Warning Based on Temporal Autoencoder Z Zhu, D Zhou, D Yang, X Song, M Zhou, C Zhang, S Duan, L Zhu Energies 16 (12), 4606, 2023 | 1 | 2023 |
| Bottom hole pressure prediction based on hybrid neural networks and Bayesian optimization C Zhang, R Zhang, Z Zhu, X Song, Y Su, G Li, L Han Petroleum Science 20 (6), 3712-3722, 2023 | | 2023 |
| 钻柱摩阻扭矩智能预测模型与解释 刘慕臣， 宋先知， 李大钰， 朱硕， 付利， 祝兆鹏， 张诚恺， 潘涛 Coal Geology & Exploration 51 (9), 89-99, 2023 | | 2023 |
| 水平井钻井提速-减阻-清屑多目标协同优化方法 丁建新， 李雪松， 宋先知， 张诚恺， 马宝东， 刘子豪， 祝兆鹏 石油机械 51 (11), 1-10, 2023 | | 2023 |
song xianzhichina university of petroleum-beijingVerified email at cup.edu.cn
