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A 3D bedrock modeling method based on information mining of 2D geological map.

Authors :
Niu, Tong
Lin, Bingxian
Zhou, Liangchen
Lv, Guonian
Source :
Earth Science Informatics. Oct2024, Vol. 17 Issue 5, p4067-4094. 28p.
Publication Year :
2024

Abstract

The 2D geological map serves as a synthesis of geological investigations and expert knowledge, making it a crucial data source for bedrock 3D modeling. Nevertheless, insufficient geological information mining has been a problem in previous research utilizing 2D geological maps for bedrock modeling. To address this issue, this paper proposes a 3D bedrock modeling method that incorporates multiple information mining based on 2D geological maps. The method involves extracting surface undulation, occurrence, stratigraphic age, and other information from the 2D geological map multiple times using map-cut cross sections and virtual drills. This information is then stored using the generalized trigonal prismatic (GTP) element. Additionally, the paper introduces connection rules to handle different geological phenomena, such as stratigraphic pinch-out, stratigraphic inversion, stratigraphic duplication, and unconformity contact, and their corresponding GTP types. Finally, the GTPs are connected according to these rules, resulting in the construction of a 3D bedrock model. To validate the method's consistency with expert speculation regarding the expression of geological body structures and occurrence, the paper compares a slice section of the example modeling results with expert hand-drawn section from the same location. The results demonstrate that the proposed modeling method effectively explores the geological information present in the planar geological map and clearly expresses a variety of complex geological formations, enabling the construction of a high-quality 3D bedrock model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18650473
Volume :
17
Issue :
5
Database :
Academic Search Index
Journal :
Earth Science Informatics
Publication Type :
Academic Journal
Accession number :
180331175
Full Text :
https://doi.org/10.1007/s12145-024-01375-7