Article Versions Notes

Feng Q, Wu K, Zhang J, Wang S, Zhang X, Zhou D, Zhao A. Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China. Energies. 2022; 15(7):2398. https://doi.org/10.3390/en15072398

Feng, Qihong, Kuankuan Wu, Jiyuan Zhang, Sen Wang, Xianmin Zhang, Daiyu Zhou, and An Zhao. 2022. "Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China" Energies 15, no. 7: 2398. https://doi.org/10.3390/en15072398

Feng, Q., Wu, K., Zhang, J., Wang, S., Zhang, X., Zhou, D., & Zhao, A. (2022). Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China. Energies, 15(7), 2398. https://doi.org/10.3390/en15072398