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Multi-dimensional data visualization method and system based on geological structure characteristics

A multi-dimensional data and geological structure technology, applied in the field of data processing, can solve the problems of less geological feature information and difficulty in analyzing multiple discrete data.

Pending Publication Date: 2021-12-14
电子科技大学成都学院
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Problems solved by technology

[0004] In order to make up for the deficiencies of the existing technology and solve the problem of difficult analysis of multiple discrete data due to too little geological feature information contained in a single discrete data value, the present invention proposes a multi-dimensional data visualization method and system based on geological structure features

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  • Multi-dimensional data visualization method and system based on geological structure characteristics
  • Multi-dimensional data visualization method and system based on geological structure characteristics
  • Multi-dimensional data visualization method and system based on geological structure characteristics

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Embodiment Construction

[0026] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0027] Such as Figure 1 to Figure 6 Shown, a kind of multi-dimensional data visualization method based on geological structure feature described in the present invention, this method comprises the following steps:

[0028] S1: Input discrete data collected by professionals to describe geological information into the computer system;

[0029] S2: Use the structural feature extraction algorithm to process discrete data describing geological information, and obtain the sequence with the most structural features;

[0030] S3: Display the sequence with the most structural features obtained through S2 on the computer screen.

[0031] In order to further realize the contents of the present invention, the structural feature extraction algorithm include...

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Abstract

The invention belongs to the technical field of data processing, and relates to a multi-dimensional data visualization method and system based on geological structure characteristics. The method comprises the following steps that: S1, discrete data which is collected by a professional and is used for describing geological information is inputted into a computer system; S2, the discrete data describing geological information is processedby using a structural feature extraction algorithm to obtain a sequence with the most structural features; S3, the sequence which is obtained in the step S2 and has the most structural features is displayed through a computer display screen, the structural feature extraction algorithm comprises a data preprocessing algorithm and event extraction, wherein the event extraction adopts a correlation method, and the data preprocessing algorithm comprises smooth filtering and feature selection, and the relation among all the discrete data is analyzed, a data sequence capable of representing geologic structure characteristics is found out from the discrete data, and the data sequence is displayed through the display screen.

Description

technical field [0001] The invention belongs to the technical field of data processing, in particular to a multi-dimensional data visualization method and system based on geological structure features. Background technique [0002] Petroleum is one of the lifelines of the country's economy. As the geological structure of oilfield exploitation becomes more and more complex, the requirements for its mining technology are getting higher and higher. In addition, the cost of mining is huge. Professionals also need to use tools that can truly reflect the characteristics of the geological structure. images to help determine the location of oil and gas reservoirs in the ground. [0003] Geological prospecting personnel will use scientific methods to collect discrete data used to describe geological information, but because the geological feature information contained in a single discrete data value is too little, it is necessary to analyze the relationship between all the discrete d...

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Application Information

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IPC IPC(8): G01V1/34G01V1/36G01V1/30
CPCG01V1/345G01V1/364G01V1/301G01V2210/64G01V2210/74G01V2210/22
Inventor 聂小燕张燕王昱林何源泽吴宗整王梓航陈晶晶
Owner 电子科技大学成都学院