Method for constructing theoretical three-dimensional structure model based on wireframe model

Abstract

The invention discloses a method for constructing a theoretical three-dimensional structure model based on a wireframe model. The method comprises the following steps: S1, reasoning from a structure sequence to obtain a structure element and a semantic-level topological relation; S2, carrying out data preprocessing; S3, forming a work area boundary skeleton according to a model boundary line in combination with the attribute of the geological surface corresponding to the surface wireframe model; S4, determining the up-down sequence of the horizon surface according to the adjacency relation of the geological blocks; S5, according to the adjacency relation between the fault plane and the horizon plane, determining the fault plane sequence, and determining the sub-plane sequence of the horizon plane; and S6, assigning coordinates to the points on the fault surface, and updating coordinates of other points on the horizon surface to obtain a whole model framework. A wireframe model method is adopted, and construction cognition knowledge, including construction elements and a semantic-level topological relation, recognized by geological experts from a construction sequence is visualized in a visual and simplified mode, so that people can rapidly know the spatial distribution condition of the geological structure, a theoretical three-dimensional construction model can be rapidly formed, and the modeling speed is increased.

Description

technical field [0001] The invention relates to a method for constructing a theoretical three-dimensional structural model based on a wire frame model. Background technique [0002] Three-dimensional geological structure modeling is an important technical means for people to deeply understand the underground structure and reveal the nature and laws of geology. Traditional structural modeling methods are based on data-driven. Due to the poor quality of data and the loss of structural cognition generated by geological experts in the structural interpretation stage, the modeled models are often unreasonable, difficult to explain, and difficult to edit and modify. In practical applications, the method of controlling the model is usually to directly modify the control points in the model or modify the structural interpretation data, which requires a lot of manpower for interactive editing. A simple and fast modeling method that roughly reflects the approximate distribution and s...

AI Technical Summary

Problems solved by technology

Traditional structural modeling methods are based on data-driven. Due to the poor quality of data and the loss of structural cognition generated by geological experts in the structural interpretation stage, the modeled models are often unreasonable, difficult to explain, and difficult to edit and modify.

In practical applications, the means of controlling the model is usually to directly modify the control points in the model or modify the structural interpretation data, which requires a lot of manpower for interactive editing

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