石油科学(英文版)2026,Vol.23Issue(5):2367-2389,23.DOI:10.1016/j.petsci.2026.01.022
Adaptive weight strategy for frequency-decomposed seismic attribute fusion in predicting of complex sand body distributions
Adaptive weight strategy for frequency-decomposed seismic attribute fusion in predicting of complex sand body distributions
摘要
关键词
Reservoir heterogeneity/Sand thickness prediction/Frequency-decomposed attribute intelligent fusion/Adaptive weighting/Deep neural networkKey words
Reservoir heterogeneity/Sand thickness prediction/Frequency-decomposed attribute intelligent fusion/Adaptive weighting/Deep neural network引用本文复制引用
Hong-Li Wu,Xin-Ping Zhou,Sheng-He Wu,Zhen-Hua Xu,Ming-Cheng Liu,Bo Yang,De-Gang Wu,Zi-Shi Xie,Yu Tang,Xiao-Long Wan..Adaptive weight strategy for frequency-decomposed seismic attribute fusion in predicting of complex sand body distributions[J].石油科学(英文版),2026,23(5):2367-2389,23.基金项目
This study is funded by the Science Foundation of China Uni-versity of Petroleum(Beijing)(Grant No.2462025BJRC005),Stra-tegic Cooperation Technology Projects of China National Petroleum Corporation(CNPC)and China University of Petroleum(Grant No.ZLZX2020-02),Major Science and Technology Project of Changqing Oilfield(Grant No.2023DZZ04),and China University of Petroleum(Grant No.2462023YJRC034),and the National Natural Science Foundation of China(Grant No.42202178,42272110). (Beijing)