Random Generation and Uncertainty Analysis Method of 3D Geological Structure Model

Abstract

The invention relates to the field of geological informatization, and discloses a method for random generation and uncertainty analysis of a three-dimensional geological structure model, which solves the problems existing in the uncertainty analysis scheme of traditional three-dimensional geological modeling that cannot fully reflect three-dimensional morphological features and that a single model cannot Perfectly reflect the real appearance of the underground space. After completing the construction of the geological model according to the geological survey data, the present invention generates a random model conforming to the pre-specified error distribution characteristics based on Monte Carlo simulation, and then performs dimension reduction processing on the generated model based on the multi-dimensional scale analysis method, and maps all of them into three-dimensional space. Through the relative position relationship between the points in the point set, the comparative analysis and visual analysis of model differences are realized. The invention is suitable for uncertainty analysis of 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...

AI Technical Summary

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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