Method for integrally constructing local complex fault through angular point grid

Abstract

The invention discloses a method for integrally constructing a local complex fault through an angular point grid, and the method comprises the steps: carrying out the angular point grid pre-modeling of topographic relief changes in a target range, and obtaining topographic point data; obtaining fault data corresponding to the target range through the exploration points; obtaining fitting point data after global interpolation according to the fault data and the topographic point data; wherein the interpolation fitting point data comprises interpolation fault coil data; selecting a fitting logic line and a cellular array by comparing the interpolation fault coil data with the topographic point data; carrying out fault fitting according to the selected fitting logic line and cellular array, and setting a buffer area; inputting fault fracture zone attributes or fault distance data, and completing fault integrated expression through fitting. According to the method, the topographic relationship can be directly generated and the position of the fault distance fracture zone can be directly expressed according to the fault data to be fitted and the preprocessed angular point grid data, and attributes can be directly given to the fault distance or upper and lower disks so as to meet the required engineering requirements.

Description

technical field [0001] The invention belongs to the field of geological modeling, in particular to a method for constructing local complex faults through the integration of corner point grids. Background technique [0002] In geological engineering activities, in order to show the subsurface geological conditions more clearly, 3D geological modeling technology has developed rapidly, and many different model construction methods have also been derived. From the perspective of modeling efficiency, accuracy, and the expression of spatial attribute relationships between geological structures, there are still the following problems: [0003] (1) The modeling process is cumbersome and requires a large amount of data: [0004] The current modeling techniques are roughly divided into explicit modeling and implicit modeling. The former requires a large amount of data support, and a large amount of measured terrain data is used for terrain and structure fitting. The amount of data de...

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Problems solved by technology

[0003] (1) The modeling process is cumbersome and requires a large amount of data:

[0004] The current modeling techniques are roughly divided into explicit modeling and implicit modeling. The former requires a large amount of data support, and a large amount of measured terrain data is used for terrain and structure fitting. The amount of data determines the accuracy of the fitting; the latter By measuring the same attribute of the underground geological body and using the attribute to construct the boundary of the geological body, it has good attribute connectivity and rigorous internal attribute relationship. However, the data for exploration is also required to be accurate enough and highly dependent on the data.

[0005] (2) There is a large gap in the accuracy of local modeling, which is not rigorous enough:

[0006] For the explicit modeling method, it has the advantage of high fitting accuracy, but for geological bodies such as faults, block modeling is required, and it is easy to make mistakes in the attribute relationship of the upper and lower walls, and it lacks the treatment of fault-range fracture zones. There is often no attribute relationship filling in the broken zone; for invisible modeling, due to too much reliance on the data obtained through calculation, in the modeling process, the difference between the required result and the calculation result is often too large, resulting in an unsatisfactory model establishment

[0007] (3) It is difficult to deal with internal attribute relationships and is error-prone:

[0008] For explicit modeling, due to the method of block modeling, the attribute relationship obtained in the upper and lower walls of geological structures such as faults is prone to errors due to improper connections, such as stress, seepage and other attributes that need to penetrate layers are more prone to problems; for As far as stealth modeling is concerned, since attributes are the main tool for modeling, problems are not easy to occur in attribute relationships. However, due to the problem of mesh division, when assigning different attributes, it is not easy to miss a certain part of the object or Duplication, leading to unsatisfactory modeling results

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