Example Data Supporting a Cross-Domain Transfer Learning Framework for Seismic Interpretation

<p dir="ltr">This repository contains the example seismic data used in our manuscript, serving as supplementary materials for demonstrating our cross-domain transfer learning framework for seismic interpretation.</p><p dir="ltr">The following publicly available...

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Автор: Zhengfa Bi (22677614) (author)
Інші автори: Nori Nakata (22677710) (author), Xinming Wu (8502486) (author)
Опубліковано: 2025
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Резюме:<p dir="ltr">This repository contains the example seismic data used in our manuscript, serving as supplementary materials for demonstrating our cross-domain transfer learning framework for seismic interpretation.</p><p dir="ltr">The following publicly available datasets are referenced in the manuscript:</p><ul><li><b>Netherlands F3 Block</b><br>The Netherlands F3 block dataset is a widely used benchmark dataset in seismic interpretation studies. It can be downloaded from Zenodo:<br><a href="https://zenodo.org/records/1471548" rel="noopener" target="_new">https://zenodo.org/records/1471548</a><br>(Referenced in: Alaudah et al., 2019; Silva et al., 2019)</li><li><b>Teapot Dome Seismic Dataset</b><br>The Teapot Dome 3D seismic dataset is provided by the Society of Exploration Geophysicists (SEG), as described in Chiaramonte et al. (2008). Access information is available through SEG’s data portal.</li><li><b>Parihaka 3D Seismic Dataset</b><br>The Parihaka 3D seismic dataset is publicly available and can be downloaded from the SEG Wiki:<br><a href="https://wiki.seg.org/wiki/Parihaka-3D" rel="noopener" target="_new">https://wiki.seg.org/wiki/Parihaka-3D</a></li></ul><p dir="ltr">If you use the datasets linked above, please cite their original authors and data sources accordingly.</p>