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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

能源地球科学（英文）2026，Vol.7Issue(4)：126-137,12.

Resistivity restoration using Spiking Neural Networks for water-flooded zone interpretation in high water-cut sandstone reservoirs

Penghua Luo ¹Jiexiang Jiang ²Fugui Wei ²Bo Yang ²Lu Ren ³Yuhui Zhou⁴

作者信息

1. School of Petroleum Engineering,Yangtze University,Wuhan,Hubei,430100,China
2. Luliang Oilfield Operation Area,PetroChina Xinjiang Oilfield Branch,Karamay,Xinjiang,834000,China
3. School of Civil Engineering,Hebei Petroleum University of Technology,Chengde,Hebei,076000,China
4. School of Petroleum Engineering,Yangtze University,Wuhan,Hubei,430100,China||Western Research Institute,Yangtze University,Karamay,Xinjiang,834000,China
折叠

摘要

关键词

Sandstone reservoir/Spiking Neural Network(SNN)/Water-flooded zone/Resistivity restoration/Water cut

Key words

Sandstone reservoir/Spiking Neural Network(SNN)/Water-flooded zone/Resistivity restoration/Water cut

引用本文复制引用

Penghua Luo,Jiexiang Jiang,Fugui Wei,Bo Yang,Lu Ren,Yuhui Zhou..Resistivity restoration using Spiking Neural Networks for water-flooded zone interpretation in high water-cut sandstone reservoirs[J].能源地球科学（英文）,2026,7(4):126-137,12.

基金项目

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). （Grant No.:52274030）

能源地球科学（英文）

ISSN：2666-7592

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