Method for using block coding mode to compress surface element grid attribute data

Abstract

The invention provides a method for using a block coding mode to compress surface element grid attribute data, and belongs to the field of seismic prospection and exploration. The method includes the following steps: (1) a surface element grid matrix structure of an observation system is established, including two parts: a matrix head and a matrix body, wherein surface element grid initial point coordinates, an inline direction interval and number, an x-line direction interval and number, and direction angle information are defined in the matrix head, and the matrix body is a coverage time digital array recorded according to inline and x-line directions, the structure is a two-dimensional array, and each element of the two-dimensional array is a coverage time value; and (2) a run length coding mode is utilized to code each surface line coverage time attribute in the surface element grid matrix, and a coverage time value and the repeated number of the value are recorded in sequence.

Description

technical field [0001] The invention belongs to the field of seismic exploration and development, and in particular relates to a method for compressing panel grid attribute data by using a block coding method. Background technique [0002] In the stage of petroleum seismic exploration, it is necessary to design the location and relationship of the shot-check points in advance. The design of the 3D observation system can help the designers to conduct indoor analysis and theoretical design according to the user's needs before construction, and design a reasonable and economical observation system and layout plan according to the geological target imaging area, coverage times and actual conditions of the work area given by the user. Among them, the panel attribute analysis plays a very important role in the design of the 3D observation system. It can provide designers with quick and intuitive statistical maps of the number of work area coverage, offset and azimuth. With the gr...

AI Technical Summary

Problems solved by technology

With the gradual development of 3D seismic exploration technology, there are more and more high-precision and high-density observation system designs in recent years, which makes the data volume of the panel attribute analysis results of the 3D observation system very large, and traditional methods cannot quickly Effectively statistically analyze the analysis results of these panel attributes, resulting in problems such as excessive computer system resource consumption and long waiting time

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