[1] |
REN Hong,LI Weiqi,GUO Zhongchun,YANG Xiaoteng,XU Jian,WANG Xiao.
Dynamic quantitative characterization and automatic identification of the buried hill reservoir types in Yakela block
[J]. Petroleum Reservoir Evaluation and Development, 2023, 13(6): 789-800.
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[2] |
XIA Haibang, HAN Kening, SONG Wenhui, WANG Wei, YAO Jun.
Pore scale fracturing fluid occurrence mechanisms in multi-scale matrix-fracture system of shale gas reservoir
[J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 627-635.
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[3] |
LIN Hun, SUN Xinyi, SONG Xixiang, MENG Chun, XIONG Wenxin, HUANG Junhe, LIU Hongbo, LIU Cheng.
A model for shale gas well production prediction based on improved artificial neural network
[J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 467-473.
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[4] |
CHEN Shaoying,WANG Wei,YANG Qingchun,ZHANG Lisong.
Sequential coupling thermal-hydro-mechanical model for multiple cluster of fracturing network fracturing in dry hot rock reservoir
[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(6): 869-876.
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[5] |
ZHANG Tian'an,WANG Ruifeng,WANG Fenghao,CAI Wanlong,ZHOU Cong,LIU Boyang.
Influence of sustainable load imbalance ratio of heat exchanger of medium-shallow borehole
[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(6): 886-893.
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[6] |
SHI Juntai,LI Wenbin,ZHANG Longlong,JI Changjiang,LI Guofu,ZHANG Sui'an.
An inversion method of initial coal reservoir pressure using fracturing process data
[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(4): 564-571.
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[7] |
LI Wei,TANG Fang,HOU Boheng,QIAN Yin,CUI Chuanzhi,LU Shuiqingshan,WU Zhongwei.
A method for oil recovery prediction of sandstone reservoirs in the eastern South China Sea based on neural network
[J]. Petroleum Reservoir Evaluation and Development, 2021, 11(5): 730-735.
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[8] |
SONG Wenhui,LIU Lei,SUN Hai,ZHANG Kai,YANG Yongfei,YAO Jun.
Pore structure characterization and flow ability of shale oil reservoir based on digital cores
[J]. Petroleum Reservoir Evaluation and Development, 2021, 11(4): 497-505.
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[9] |
ZHAO Jun,ZHANG Tao,HE Shenglin,ZHANG Huanrong,HAN Dong,TANG Di.
Prediction of reservoir permeability by deep belief network based on optimized parameters
[J]. Petroleum Reservoir Evaluation and Development, 2021, 11(4): 577-585.
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[10] |
JIANG Tingxue,SU Yuan,BIAN Xiaobing,MEI Zongqing.
Network fracturing technology with low cost and high density for normal pressure shale gas
[J]. Reservoir Evaluation and Development, 2019, 9(5): 78-83.
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[11] |
You Xianyong,Zhao Jinzhou,Li Yongming,Xu Wenjun.
An investigation into fracturing fluid leak-off considering the clustered distributed natural fractures
[J]. Reservoir Evaluation and Development, 2019, 9(2): 38-43.
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[12] |
Wang Haoru,Li Zuyou,Lu Guangliang,Tang Lei.
Prediction of wellbore flow condition based on RBF neural network
[J]. Reservoir Evaluation and Development, 2018, 8(6): 28-32.
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[13] |
Lai Jianlin,Fang Qilong,Gao Yingyun,Wei Wei.
Research and application of integral network-fracturing of coal-bed methane of southern Yanchuan
[J]. Reservoir Evaluation and Development, 2018, 8(3): 79-82.
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