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Seismic data conditioning and neural network-based attribute selection for enhanced fault detection
Petroleum Geoscience, 2013In this study of the Dorood oil field, offshore Iran, 3D seismic data were utilized to identify a complex fault pattern in the highly faulted and fractured Fahliyan Formation. To enhance data quality and improve attribute accuracy and detection power, a steering cube was first computed based on a sliding 3D Fourier analysis technique, using the concept
Chehrazi, A. +2 more
openaire +2 more sources
Mechanical Systems and Signal Processing, 2019
Abstract The operation conditions are always non-stationary in the operation of rotating machinery. It is the key to realize the fault diagnosis of rotating machinery under different operation conditions by extracting the features which are irrelevant to the operation conditions and contain fault information.
Wenyi Huang, Junsheng Cheng, Yu Yang
openaire +1 more source
Abstract The operation conditions are always non-stationary in the operation of rotating machinery. It is the key to realize the fault diagnosis of rotating machinery under different operation conditions by extracting the features which are irrelevant to the operation conditions and contain fault information.
Wenyi Huang, Junsheng Cheng, Yu Yang
openaire +1 more source
Automated Fault Detection and Extraction under Gas Chimneys Using Hybrid Discontinuity Attributes
Applied Sciences (Switzerland), 2021Abdul Halim Abdul Latiff +2 more
exaly
Fault-attri-attention: a method for fault identification based on seismic attributes attention
Neural Computing and Applications, 2023Kewen Li
exaly

