Petroleum Reservoir Evaluation and Development ›› 2023, Vol. 13 ›› Issue (5): 600-607.doi: 10.13809/j.cnki.cn32-1825/te.2023.05.007
• Tight Gas • Previous Articles Next Articles
Received:
2023-05-24
Online:
2023-10-26
Published:
2023-11-01
CLC Number:
QIAN Yugui. Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression[J].Petroleum Reservoir Evaluation and Development, 2023, 13(5): 600-607.
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