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Erschienen in: Earth Science Informatics 1/2024

06.12.2023 | RESEARCH

Key technology for section analysis of 3D geological models based on the online virtual earth environment

verfasst von: YongFeng Deng, Junqiang Zhang, Yongzheng Sun, Yiping Tian, Qiyu Chen, Bin Qiu

Erschienen in: Earth Science Informatics | Ausgabe 1/2024

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Abstract

Integrating a 3D geological model into the virtual Earth environment enables the display of the geological model on a larger scale, making the surrounding terrain and landform more intuitive, and improving the accuracy of geological research. Because the section analysis of 3D geological model can clearly show the geological structure and attribute information on a section, it is a popular analysis method for geologists. However, the existing methods based on Boolean operations have high requirements on the topological relationship of the model, and their efficiency and accuracy are not ideal when faced with complex 3D geological models. Meanwhile, traditional rendering-based methods can only obtain pixel-level sectional results, making measurement difficult. This paper proposes a cutting analysis algorithm for 3D geological model in virtual earth environment. This method utilizes hierarchical bounding volume (BVH) and ray intersection algorithm to extract formation boundary data, avoiding complex Boolean operations and improving the efficiency of section analysis. Furthermore, using these data to draw measurable geological section maps effectively solves the problem that the section results cannot be measured. This method can be used to quickly and effectively obtain a section diagram the conforms to the standard diagram legend, which can be directly used in the preparation of geological analysis reports. The feasibility of this method is verified by taking the section analysis of a complex 3D geological model in a certain area as an example.

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Metadaten
Titel
Key technology for section analysis of 3D geological models based on the online virtual earth environment
verfasst von
YongFeng Deng
Junqiang Zhang
Yongzheng Sun
Yiping Tian
Qiyu Chen
Bin Qiu
Publikationsdatum
06.12.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Earth Science Informatics / Ausgabe 1/2024
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI
https://doi.org/10.1007/s12145-023-01180-8

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