Research On Visualization And Analysis Methods Of Complex Geological Structural Uncertainty

Uncertainty exists extensively in various processes of seismic exploration,leading to large uncertainties in the reconstruction of geological surfaces.It is mainly reflected in two aspects: the structural explanations and the sparseness of well logging data leading to the uncertainty of the geological surface configuration and the inaccuracy of the data leading to the low credibility of the geological surface.The research on the uncertainty of geological surface still lacks effective methods.The existing research method is to generate multiple geological surfaces through the idea of random perturbation,and to analyze and study the uncertainty of geological surface from the perspective of statistics.This kind of idea only proceeds from the multiple solutions of uncertainty,and lacks research on the issue of uncertainty itself.In this thesis,starting from the quantitative analysis of the uncertainty of geological surface,the research work on the uncertainty propagation model and the uncertainty fusion are carried out.The quantitative analysis results are analyzed visually to study the distribution law of the uncertainty of geological surface.Research has certain theoretical value and practical application value.Based on the uncertainty in the reconstruction of geological surfaces,this thesis carries out quantitative analysis of uncertainty from two perspectives of uncertainty propagation and uncertainty fusion,and visualizes quantitative analysis results.The main work and contributions are as follows:1.A spatial position uncertainty propagation model based on the diffusion principle is proposed.For the uncertainty of the spatial position of interpolation points in the process of geological surface reconstruction,the idea of uncertainty propagation was introduced.Starting from the uncertainty of the initial seed point,the propagation model of the uncertainty of the seed point propagating to the uncertainty of the interpolation point location is studied.Using the principle of diffusion,the seed point is regarded as a point element,and the relationship between the source point of uncertainty and the neighboring point is established,and the law of propagation uncertainty of the seed point to the surrounding point is deduced,forming the basic model of the quantitative analysis of the uncertainty of the geological surface.Through simulation analysis,the experimental results meet the characteristics of uncertainty and have certain rationality.2.A method of uncertainty fusion based on D-S evidence theory is proposed.Based on the single-point uncertainty propagation model,aiming at the uncertain multi-source information fusion problem in geological surface reconstruction,a quantitative analysis method of uncertainty fusion based on D-S evidence theory is proposed.Through simulation analysis,the results of the uncertainty distribution of the geological surface conform to the basic law of uncertainty propagation,and it has certain rationality.3.A visual analysis method for the uncertainty of complex geological structures is realized.On the basis of quantitative analysis of the uncertainty of complex geologic surface,the value of uncertainty is visually coded,and the value of uncertainty is represented by different colors.The intuitive expression and analysis of the distribution of the uncertainty of the geological surface are realized.In this thesis aiming at the distribution of uncertainty of geological surface,the method and model of quantitative uncertainty analysis are established from the perspectives of single-source uncertainty propagation model and multi-source uncertainty fusion,and the quantitative analysis results are analyzed visually.It laid a certain foundation for further uncertainty analysis.