Zhu, R.; Li, N.; Liu, G.; Qu, F.; Long, C.; Wang, X.; Xiu, S.; Ling, F.; Liao, Q.; Li, G.
Machine Learning-Driven Early Productivity Forecasting for Post-Fracturing Multilayered Wells. Water 2025, 17, 2804.
https://doi.org/10.3390/w17192804
AMA Style
Zhu R, Li N, Liu G, Qu F, Long C, Wang X, Xiu S, Ling F, Liao Q, Li G.
Machine Learning-Driven Early Productivity Forecasting for Post-Fracturing Multilayered Wells. Water. 2025; 17(19):2804.
https://doi.org/10.3390/w17192804
Chicago/Turabian Style
Zhu, Ruibin, Ning Li, Guohua Liu, Fengjiao Qu, Changjun Long, Xin Wang, Shuzhi Xiu, Fei Ling, Qinzhuo Liao, and Gensheng Li.
2025. "Machine Learning-Driven Early Productivity Forecasting for Post-Fracturing Multilayered Wells" Water 17, no. 19: 2804.
https://doi.org/10.3390/w17192804
APA Style
Zhu, R., Li, N., Liu, G., Qu, F., Long, C., Wang, X., Xiu, S., Ling, F., Liao, Q., & Li, G.
(2025). Machine Learning-Driven Early Productivity Forecasting for Post-Fracturing Multilayered Wells. Water, 17(19), 2804.
https://doi.org/10.3390/w17192804