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Research On Topological Construction Methods Of Complex Geological Structures

Posted on:2019-02-10Degree:MasterType:Thesis
Country:ChinaCandidate:W ChenFull Text:PDF
GTID:2310330563954443Subject:Engineering
Abstract/Summary:PDF Full Text Request
The three-dimensional geological structure model is an important means for understanding the structure of underground strata and carrying out exploration of underground oil and gas resources.The Structure model includes three elements: geometric feature,topological feature,and attribute feature.Among them the topological feature reflects the spatial relationship between geological surfaces and plays a crucial role in constructing the model's expression and control.And with the development of complex geological structure modeling toward the direction of intelligent modeling,a basic scientific problem is how to overcome the computer cognitive problem.Among them,the topological cognition of the structural model is the key to model cognition.The existing research on the topology of geological structure model is to study the topology as the basic attribute of the model from two aspects: the rationality and uncertainty.This thesis starts with constructing the semantic description of the model topology and establishes a semantic model for constructing topological cognition.Based on this,it studies the topological extraction methods in complex geological structures.The research has great theoretical significance and practical application value.Focusing on the computer cognitive problem of the complex geological structure's topological cognition,this thesis studies the semantic description and the extract method of the topological construction.The main work and innovations are as follows:1?We propose a semantic description and a computer representation of a geological structure model.Semantic description is the core of computer cognition of complex geological structure models.Based on the relationship between geological objects and geological objects(structural topology),we establish a semantic description system for computer modelling of structural models.This thesis defines a multi-level complex heterogeneous semantic network as the carrier of geological semantic description,where the nodes are abstract entities and the arc is the abstraction of topological relations.Among them,entities in the same layer are connected by adjacency,and entities in different layers are connected by associative relationships.2?We propose an extraction method for constructing a model semantic network.On the basis of the semantic describing model to solve the problem of extracting and constructing the topological information in multi-level geological structure model,this thesis proposes a method.The basic idea is to establish the topological network of the structural model from top to bottom and from the macroscopic geological block to the microscopic feature point.The validity of the method was verified by the structural model of the actual work area.3?We realize the visualization of the structural model semantic network.The topological representation model implements the logical description of the construction model.Based on this,the visualization of the topology network is carried out.Its main purpose is to improve the interactive analysis capabilities of complex geological structure models through visualization.The key problem is the layout of topology network.This thesis adopts a topology-based network hybrid layout algorithm based on force-guided algorithm,which fully demonstrates the topological network's layers and the logical relationships among the various entity nodes in each layer.The method achieves good visual effects.This paper makes use of the geological data of the actual work area to carry out research from the three aspects: the design of the semantic description system,the establishent of the semantic network of the construction model and the visualization of the semantic network.The study achieves some research results.
Keywords/Search Tags:Three-dimensional geological structure modeling, Semantic description, Geological topology, Visualization
PDF Full Text Request
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