Attribute modeling constrained by multi-source data-based 3D geological structural model: A case study in Tongzhou District, Beijing

doi:10.13745/j.esf.sf.2022.9.6

Abstract

Abstract:

Method development supporting multi-source heterogeneous data has always been one of the key and challenging issues in 3D geological modeling. Taking Tongzhou District, Beijing as an example, we designed an automated method of building 3D geological model using multi-source data. Firstly, in the data preprocessing stage, the virtual drilling is generated based on section, seismic section interpretation and isosurface (line) data so as to uniformly convert the heterogeneous multi-source data into isomorphic virtual drilling data, and then a 3D geological structural model is built by automated modeling of 3D geological structure using drilling and virtual drilling data. Secondly, the structural constraints of the attribute model are created based on the 3D geological structural model, and the attribute model grid is constructed using hexahedron or tetrahedron units. Thirdly, each attribute block in the attribute model grid is assigned an attribute value through 3D spatial interpolation. Finally, we map the attribute change onto color change to establish the corresponding attribute model, thus completing attribute modeling constrained by the geological structure model. This method has been used in engineering geological survey and urban underground space development, which contributes to the improvement and application of 3D geological model.

Key words: multi-source data, three-dimensional geological modeling, attribute modeling, virtual drilling

CLC Number:

P642
TU984

XUE Tao, BAO Xunshuan, ZHU Xiaodi, HUANG Xiao. Attribute modeling constrained by multi-source data-based 3D geological structural model: A case study in Tongzhou District, Beijing[J]. Earth Science Frontiers, 2023, 30(3): 529-536.

Figures/Tables 16

Fig.1 Flowchart of automated modeling of 3D geological structure based on multi-source data

Fig.2 Geological interpretation of seismic depth section

Fig.3 Stratigraphic data extracted from interpreted seismic depth section

Fig.4 Virtual borehole generated from seismic profile data

Fig.5 Comparison of geological models based on section data alone (a) and with automated modeling (b)

Fig.6 Top view of fitting ground level generated by isosurface (line)

Fig.7 Side views showing the isosurface (line) modeling effect

Fig.8 Single-layer 3D geological attribute model

Fig.9 Horizontal-stratified 3D geological attribute model

Fig.10 Horizontal stratification-averaged 3D geological attribute model

Fig.11 Comparison of stratigraphic model (middle) with attribute model using hexahedron (left) or tetrahedron (right) grids

Fig.12 Exploded view of 3D geological structural model of Tongzhou

Fig.13 Single-layer 3D geological attribute model for water content using hexahedron grid

Fig.14 Single-layer 3D geological attribute model for water content using tetrahedron grid

Fig.15 Stratified 3D geological attribute model for water content using hexahedron grid

Fig.16 Stratified 3D geological attribute model for water content using tetrahedron grid

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