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Bedrock geology map. 1-Lower section of Dalangshan Group of Cretaceous; 2-Upper section of Sanshui Group of Cretaceous; 3-Donghu section of Sanshui Group of Cretaceous; 4-Xihao section of Sanshui Group of Cretaceous; 5-Lower section of Sanshui Group of Cretaceous; 6-Upper section of Baihedong Group of Cretaceous; 7-Subrhyolite; 8-Guangsan Fault; 9-Burried Fault; 10-Metro Line and metro stop; 11-Modeling area.
Source publication
To visualize and analyze the impact of uncertainty on the geological subsurface, on the term of the geological attribute probabilities (GAP), a vector parameters-based method is presented. Perturbing local data with error distribution, a GAP isosurface suite is first obtained by the Monte Carlo simulation. Several vector parameters including normal...
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Context 1
... study is carried out based on fault subsurface at a metro station of Line 11 in the downtown area of Guangzhou city, southern China. According to a previous geological investigation (Guangdong Geological and Mineral Bureau, 1989), the Guangsan Fault lies along the section of Metro Line 11 (Fig. 1). A metro system is a convenient means of public transportation. During the design and construction of a metro system, the 3D distribution of lithologies, strata, and faults forms a basis for assessing aquifer recharge and vulnerability and should be a particular concern (Turner and Kessler, 2015). Faulting changes rock mechanics and ...
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... curvature vector, the MDS plots of all other parameters on different GAP isosurfaces distribute as a straight line, and the disturbance of GAP isosurfaces is not reflected effectively. When the distance factor is a constant, the distribution scope of GAP isosurfaces increases with standard deviation value increase in MDS plots, as shown in Fig. 10. For the mean curvature entropy and Gaussian curvature entropy, the tails of the GAP isosurfaces distribution in MDS plots have a different trend when the standard deviation value ...
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... on all sample points, except the perturbed point, are preset as 1.0, and the distance factor is 3.0. On the perturbed point, the standard deviation values are preset as 0.5, 1.0, and 1.5. When the standard deviation value increases from 0.15 to 1.5, the distribution scope of GAP isosufaces in MDS plots does not change obviously, as shown in Fig. 11. Also, for the mean curvature entropy and Gaussian curvature entropy, the tails of the GAP isosurfaces distribution have a different trend irrespective of what the standard deviation value ...
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Citations
... The uncertainty of geological models is widely recognized as an important issue [1][2][3][4][5][6][7][8][9][10][11][12][13]. Due to the lack of mathematical systematization of uncertainty theory, it is difficult to quantitatively describe and universally interpret the uncertainty in geological models. ...
The geological model plays an important role in geophysics and engineering geology. The data source of geological modeling comes from interpretation data, borehole data, and outcrop data. Due to economic and technical limitations, it is impossible to obtain highly accurate and high-density data sources. The sparsity and inaccuracy of data sources lead to the uncertainty in geological models. Unlike the problem of probability, there is not enough samples for a geological model. Spatial diffusion model and merging model are introduced, which are more satisfied with the cognition of uncertainty than the existing methods. And then, using conditional information entropy, a quantification method of geological uncertainty, is proposed. Compared with the approaches of information entropy, this method took full account of the constraints of geological laws. Based on the uncertainty models and conditional information entropy, a framework of uncertainty assessment in geological models is established. It is not necessary in our framework to create multiple geological models, which is a time-consuming and laborious task. The application of Hashan survey located at north of China shows that the method and framework of this study are reasonable and effective.
... The purpose of constructing a 3D geological model is to reflect the real geological situation as accurately as possible based on respecting the existing geological data. Due to the sparsity or inaccuracy of input data and the error of the modeling process, a 3D geological model inevitably has uncertainty (Hou et al. 2021;Olierook et al. 2021). Consequently, to ensure that the constructed model can more accurately restore the geological structure of the modeling area, this study established geological profiles based on standardized borehole data to assist in stratigraphic analysis, which can more accurately and intuitively simulate the structure of the underground space. ...
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