Method for rapidly loading large-scale reservoir geology model data

Abstract

The invention provides a method for rapidly loading large-scale reservoir geology model data and belongs to the field of reservoir development. The method comprises the following steps of (1) orientation determination and naming: defining center hexahedrons, and respectively associating eight vertexes of each center hexahedron with an original data grid cell hexahedron, adjacent to the center hexahedron, each to each; (2) coordinate set building: putting coordinates of the vertexes of all the center hexahedrons together and saving as a point coordinate set, wherein the coordinates of points totally coincident are stored only once; (3) index building: by aiming at each center hexahedron, recording the initial position of the set of the vertex coordinates of the center hexahedron by using large indexes, and recording the relative offset of each vertex of the center hexahedron by using small indexes, wherein the relative offset refers to the relative offset, relative to the initial position of the set of the vertex coordinates, of all other vertexes; (4) data packing.

Description

technical field [0001] The invention belongs to the field of oil reservoir development, and specifically relates to a method for quickly loading large-scale oil reservoir geological model data, which can be applied to oil reservoir modeling models, seismic data bodies, and other applications involving grid storage of large data volumes, such as groundwater Flow analysis, meteorological data analysis, etc. Background technique [0002] At present, the loading and storage of large-scale reservoir geological model data has the following deficiencies: [0003] 1. Using disk storage method [0004] The main factor affecting the processing speed is disk access. The speed of disk access has been improved a lot, but it is still far from enough. For example, simply reading 2GB of data for the grid takes at least 1 minute. It is impossible to achieve smoothness based on this speed. [0005] 2. Disk random storage method [0006] Data is stored sequentially on disk. However, the ...

AI Technical Summary

Problems solved by technology

For example, extracting an arbitrary profile requires traversing all the data. This is a visualization function. It takes one minute to create a profile (actually it is definitely more than one minute, and the calculation is time-consuming). I am afraid it is not easy for users to accept.

[0013] In summary, there is currently no method for fast loading of large-scale reservoir geological model data

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