长江大学主页平台管理系统饶翔--中文主页-- Rao X, Zhao H*, Deng Q. Artificial-neural-network (ANN) based proxy model for performances forecast and inverse project design of water huff-n-puff technology[J].

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Rao X, Zhao H*, Deng Q. Artificial-neural-network (ANN) based proxy model for performances forecast and inverse project design of water huff-n-puff technology[J].

发布时间：2024-05-29 点击次数：

发表刊物：	Journal of Petroleum Science and Engineering
备注：	2020, 107851. (SCI/EI)

上一条： Rao X*, Cheng L, Cao R, et al. A modified projection-based embedded discrete fracture model (pEDFM) for practical and accurate numerical simulation of fractured reservoir[J]

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