基于改进LSTM神经网络的加密井产能预测研究——以川南中深层页岩气为例
官文洁, 彭小龙, 朱苏阳, 杨晨, 彭真, 马潇然
Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan
GUAN Wenjie, PENG Xiaolong, ZHU Suyang, YANG Chen, PENG Zhen, MA Xiaoran
油气藏评价与开发
.
2025, (3): 479
-487
.
DOI: 10.13809/j.cnki.cn32-1825/te.2025.03.015
