A method for fuzzy identification of fault ascending wall and descending wall based on probability statistics

Abstract

The invention discloses a method for fuzzy recognition of a fault rising wall and a falling wall based on probability statistics, which comprises the following steps: sequentially calculating the size of the corners between adjacent sides of a fault polygon; performing segmentation processing on the fault polygon according to the size of the corner to form a fault polygon The set of broken line segments; calculate the weights of ascending plate breakpoints, descending plate breakpoints and stratum contact points in a certain buffer zone of each broken line segment and their distances from the broken line segments; respectively compare the different types of breakpoints of each broken line segment The size of the weight of the polyline segment determines whether the fault attribute of the polyline segment is ascending or descending; for the polyline segment that cannot be judged by weight, the distance and size of different types of breakpoints to the polyline segment are used to judge its attribute. The intelligent identification of the upper and lower walls of the fault realized by this method is not only efficient, but also effectively avoids the accuracy problem of artificial fault combination, greatly improves the accuracy of the identification of the upper and lower walls of the fault, and has strong versatility.

Description

technical field [0001] The invention relates to the technical field of fault identification, in particular to a method for fuzzy identification of fault rising and falling walls based on probability statistics. Background technique [0002] A fault is a structure in which a rock layer or rock mass has obvious displacement along the fracture surface. Faults are widely developed in the crust and are one of the most important structures in the crust. The structural elements of the fault section are as follows: figure 1 shown. [0003] The fault polygonal downturn mark is a normative requirement to improve the readability of geological structure maps. Therefore, fault downside identification and labeling is an important task in seismic structural interpretation. However, all current seismic interpretation software and structural mapping software, None of them have realized the function of automatic recognition of the ascending and descending faults, and at the same time, there ...

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Problems solved by technology

[0007] Obviously, the manual editing method not only has the characteristics of low efficiency, high work intensity, and prone to error and rework, but also greatly increases the complexity of interpreting / mapping work area data, increases the difficulty of work area management, and what's more, frequent Deletion of editing operations will always threaten the data security of the entire interpretation / mapping work area

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