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Seismic Data Conditioning and Combination Attribute for Fault / Fracture Detection
EAGE workshop on Developments in Land Seismic Acquisition for Exploration, 2010Unconventional resources are those resources which require greater than industry standard technology or invesment to harness them. Tight sand gas is one such resource. The small faults and fractures play majot role in determining the reservoir quality in such cases.
A. Prakash +3 more
openaire +1 more source
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
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Dual-Path Conditional Diffusion Model With Attribute Consistency for Zero-Shot Fault Diagnosis
IEEE Transactions on Neural Networks and Learning SystemsIn traditional data-driven fault diagnosis, acquiring training examples for all potential fault classes is highly challenging. Zero-shot learning (ZSL) methods based on generative adversarial networks (GANs) have shown promising results; however, these approaches suffer from training instability, mode collapse, and a lack of robustness.
Wenjie Liao +3 more
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Attribute Fusion Transfer for Zero-Shot Fault Diagnosis
Advanced Engineering Informatics, 2023Xiaolong Chen, Wenyi Lin
exaly
Measurement: Journal of the International Measurement Confederation, 2023
Zhenbang Wang, Jian Zheng, Erdong Chen
exaly
Zhenbang Wang, Jian Zheng, Erdong Chen
exaly
Which Seismic Attributes Are Best for Subtle Fault Detection?
Interpretation, 2021Jonny Wu, Marwa Hussein
exaly