Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 17
Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8407-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-8407-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 17
Development and technical paper
 | 
10 Sep 2026
Development and technical paper |  | 10 Sep 2026

Three-dimensional geological modeling based on dual-task stratigraphy-aware attention networks (Geo-SAN v1.0)

Zhenxi Fang, Tongyun Zhang, Wuyi Cai, Yuzheng Shi, Syed Yasir Ali Shah, Or Aimon Brou Koffi Kablan, and Baoyi Zhang

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Latest update: 30 Sep 2026
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Short summary
We developed a new AI framework called Geo-SAN to create 3D geological models. Traditional modeling approaches struggle with complex geological structures and limited data. Our method analyzes relationships based on stratigraphy-aware attention networks between sampling points while incorporating knowledge about how stratigraphical sequence is ordered in nature. This helps the framework understand both the types of lithology and their interface and attitude positions.
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