Three-dimensional geologic structure model random generation and uncertainty analysis method

Abstract

The invention relates to the field of geological informatization, discloses a three-dimensional geological structure model random generation and uncertainty analysis method, and solves the problems that a traditional uncertainty analysis scheme of three-dimensional geological modeling cannot fully reflect three-dimensional morphological characteristics and a single model cannot perfectly reflect the real appearance of an underground space. According to the method, after a geological model is constructed according to geological exploration data, a random model conforming to pre-specified error distribution characteristics is generated based on Monte Carlo simulation, dimension reduction processing is performed on the generated model based on a multi-dimensional scale analysis method, all the models are mapped into a point set in a three-dimensional space, and through the relative position relation between points in the point set, the geological exploration data is obtained. And comparative analysis and visual analysis of model differences are realized. The method is suitable for uncertainty analysis of the three-dimensional geological model.

Description

technical field [0001] The invention relates to the field of geological informationization, in particular to a method for randomly generating and analyzing uncertainty of a three-dimensional geological structure model. Background technique [0002] Due to the inherent errors in the measurement and interpretation of geological survey data, the randomness of the interpolation algorithm used in 3D geological modeling, and the complex and diverse underground structures that are difficult to predict, modelers may misjudge the structure of the model , leading to the inevitable uncertainty problem in the modeling process. [0003] The existing technology is usually based on the best estimation model for uncertainty analysis, and quantitatively characterizes uncertainty through scalar values ​​such as probability values ​​and fuzzy values. Since the scalar is zero-dimensional, and the geological structure model is three-dimensional in nature, the use of zero-dimensional scalar cann...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose a method for random generation and uncertainty analysis of a three-dimensional geological structure model based on Monte Carlo simulation, to solve the problem that the uncertainty analysis scheme of the traditional three-dimensional geological modeling cannot fully reflect the three-dimensional morphological characteristics, The problem that a single model cannot perfectly reflect the real appearance of the underground space

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