Resistivity restoration using Spiking Neural Networks for water-flooded zone interpretation in high water-cut sandstone reservoirsOA
Resistivity restoration using Spiking Neural Networks for water-flooded zone interpretation in high water-cut sandstone reservoirs
Penghua Luo;Jiexiang Jiang;Fugui Wei;Bo Yang;Lu Ren;Yuhui Zhou
School of Petroleum Engineering,Yangtze University,Wuhan,Hubei,430100,ChinaLuliang Oilfield Operation Area,PetroChina Xinjiang Oilfield Branch,Karamay,Xinjiang,834000,ChinaLuliang Oilfield Operation Area,PetroChina Xinjiang Oilfield Branch,Karamay,Xinjiang,834000,ChinaLuliang Oilfield Operation Area,PetroChina Xinjiang Oilfield Branch,Karamay,Xinjiang,834000,ChinaSchool of Civil Engineering,Hebei Petroleum University of Technology,Chengde,Hebei,076000,ChinaSchool of Petroleum Engineering,Yangtze University,Wuhan,Hubei,430100,China||Western Research Institute,Yangtze University,Karamay,Xinjiang,834000,China
Sandstone reservoirSpiking Neural Network(SNN)Water-flooded zoneResistivity restorationWater cut
Sandstone reservoirSpiking Neural Network(SNN)Water-flooded zoneResistivity restorationWater cut
《能源地球科学（英文）》 2026 (4)
126-137,12
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Authors Jiexiang Jiang,Fugui Wei,and Bo Yang are currently employed by PetroChina.This research projects was funded by the National Natural Science Foundation of China(Grant No.:52274030),the Key Research and Development Program Project of Karamay(Grant No.:2024jjldsqld0001),"Tianchi Talent"Introduction Plan of Xinjiang Uygur Autonomous Region(2022)and the Science and Technology Innovation Team Project of Xinjiang Uygur Autonomous Region(Grant No.:2024TSYCTD0018),as well as the Hebei Natural Science Foundation"Research on the Mechanism of Reducing Induced Earthquakes in Hot Dry Rock Periodic Water Injection"Project(Grant No.:E2022411002).
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