Adaptive UMAP based multiple-frequency attribute blending and its application on hydrocarbon reservoir characterization
Author:
Affiliation:
1. Xi’an Jiaotong University
2. PetroChina Research Institute of Petroleum Exploration and Development (RIPED)
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2023-3914152.1
Reference14 articles.
1. Multi-attribute k-means clustering for salt-boundary delineation from three-dimensional seismic data
2. Attribute mapping of variable-thickness incised valley-fill systems
3. Fusing multiple frequency-decomposed seismic attributes with machine learning for thickness prediction and sedimentary facies interpretation in fluvial reservoirs
4. Seismic Time–Frequency Analysis via STFT-Based Concentration of Frequency and Time
5. Time–Frequency Analysis of Seismic Data Using a Three Parameters S Transform
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