Computer discrete data gridding parameter extracting method and operating step thereof

Abstract

The invention discloses a computer discrete data gridding parameter extracting method and an operating step thereof, which are used for extracting an optimal gridding parameter of discrete data to be gridded by utilizing gridding software, wherein the optimal gridding parameter comprises minimums, maximums, spaces and row numbers in X, Y directions. According to the computer discrete data gridding parameter extracting method disclosed by the invention, various situations of distribution of the discrete data are induced by deeply analyzing distribution characteristics of discrete data; and according to the discrete data with different distribution characteristics, a group of objective and reasonable gridding parameters are intelligently extracted so that information of original discrete data after gridding is kept to the larger extent; therefore, practical intelligent gridding software is realized so that situations of data information distortion and the like due to utilizing the traditional gridding software and gridding by artificially regulating a gridding parameter can be avoided or reduced, precious time of a user can be largely saved, and learning and operating efficiency is improved.

Description

technical field [0001] The present invention relates to a computer discrete data gridding parameter extraction method and operation steps, in particular to a computer software for discrete data optimal gridding parameter extraction method and operation steps. Background technique [0002] Geophysical measurement data are all discrete, and subsequent processing and inversion calculations usually require evenly spaced grid data. Therefore, the grid calculation of the original data is the basis for subsequent professional data processing and analysis. [0003] Before performing grid calculation on a discrete data, it is necessary to inform the grid software of a set of grid parameters, and then the grid software will grid the discrete data according to the set of parameters. Wherein, the group of gridding parameters includes: minimum value, maximum value, spacing and number of rows in X and Y directions. [0004] At present, there are many software with gridding function at ho...

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Problems solved by technology

[0005] Therefore, there is a problem in existing gridding software: the lack of analysis technology for discrete data distribution characteristics such as density and direction, and the technology of optimal gridding parameter extraction method

[0011] (1) The intersection point of the grid is not best located on or next to the original data point;

[0012] (2) In the area where the original data does not appear, the grid data is obtained by gridding. These "out of thin air" grid data cause distortion of a large amount of data

[0018] (1) Lack of analysis techniques for discrete data distribution characteristics such as density and direction;

[0019] (2) It can only simply provide a set of default gridding parameters, but cannot provide a set of suggested parameters with guiding significance, which is blind, that is, it lacks the technology of the optimal gridding parameter extraction method;

[0020] (3) After the discrete data is gridded, it is easy to cause large distortion of the original data information;

[0021] (4) The user repeatedly manually adjusts the meshing parameters and tests the meshing effect, which is blind, inconvenient to use, and lacks efficiency

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