Geological curved surface reconstruction method based on massive seismic data

Abstract

The invention provides a geological curved surface reconstruction method based on massive seismic data. The geological curved surface reconstruction method is characterized by, to begin with, carrying out large-scale seismic data terrain partition, and dividing horizon data and geological constraint polygon data into different terrain blocks and storing the data to an external memory; and then, carrying out curved surface reconstruction with each terrain block being a basic unit. The method also comprises the step of opening up a cache region in an internal memory, and in the curved surface reconstruction operation, executing interaction between the external memory and the cache region as well as interaction between the internal memory and the cache region. The invention provides a new curved surface reconstruction method for the situation of large data volume, and thus mass data processing can be finished by utilizing the limited internal memory.

Description

technical field [0001] The invention relates to the technical field of geological exploration, and more specifically relates to a three-dimensional geological curved surface reconstruction method for massive exploration data generated in a large-scale construction area. Background technique [0002] In the field of 3D geological modeling, surface reconstruction, 3D visualization, and even human-computer interaction operations for 3D large-scale massive seismic data have become routine and necessary industrial needs. However, it is difficult to perform surface reconstruction on large-scale seismic data. One of the reasons is that the amount of original data is too large and the data range is too wide. Under the existing conditions, the hardware conditions of an ordinary PC are limited, especially in terms of memory, generally speaking, there are only a few GB to a dozen GB. For large-scale seismic exploration data, the original data generally has GB level. There will also be...

AI Technical Summary

Problems solved by technology

However, it is difficult to perform surface reconstruction on large-scale seismic data, one of the reasons is that the amount of original data is too large and the data range is too wide

Under the existing conditions, the hardware conditions of an ordinary PC are limited, especially in terms of memory, which generally only has a few GB to a dozen GB. For large-scale seismic exploration data, the original data generally has GB level. There will also be a large amount of intermediate data, so it is difficult to put all the large-scale seismic survey data into the computer memory at the same time for surface reconstruction

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