Flow unit information classification and identification method based on support vector machine algorithm

A technology of support vector machine and flow unit, which is applied in character and pattern recognition, calculation, computer parts, etc. It can solve the problem of difficulty in accurately describing the nonlinear relationship between geological parameters and flow units, and achieves remarkable classification effect and strong versatility. , fast effect

Pending Publication Date: 2020-01-21
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

[0004] To sum up, the problem existing in the existing technology is that it is difficult for the traditional cluster analysis technology to accurately describe the nonlinear relationship between each geological parameter and the flow unit

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  • Flow unit information classification and identification method based on support vector machine algorithm
  • Flow unit information classification and identification method based on support vector machine algorithm
  • Flow unit information classification and identification method based on support vector machine algorithm

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Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] Aiming at the problems existing in the prior art, the present invention provides a flow unit information classification and identification method based on the support vector machine algorithm. The present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] Such as figure 1 As shown, the flow unit information classification and identification method based on the support vector machine algorithm provided by the embodiment of the present invention includes the following steps:

[0046] S101: Determination of the sample set and data preprocessing; use the mapminmax functio...

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Abstract

The invention belongs to the technical field of petroleum and natural gas exploration and development, and discloses a flow unit information classification and identification method based on a supportvector machine algorithm, which comprises the following steps: determining a sample set, preprocessing data, and finishing normalization processing of sample data by adopting a mapminmax function inMATLAB; carrying out model construction and parameter optimization by adopting C-SVM classification technology; and predicting and checking the established prediction model by using the test sample.The flow unit information classification and recognition method based on the support vector machine algorithm is high in nonlinear problem processing capacity. The method has high goodness of fit, thereliability of flow unit research carried out by using a support vector machine algorithm is high, and the method has a certain reference value for residual oil potential prediction. The support vector machine algorithm has the advantages of high precision, high speed and high universality when solving the linear or nonlinear problem of a research target related to multiple factors.

Description

technical field [0001] The invention belongs to the technical field of petroleum and natural gas exploration and development, and in particular relates to a method for classifying and identifying flow unit information based on a support vector machine algorithm. Background technique [0002] At present, the closest existing technology: with the deepening of oil and gas exploration and the reduction of conventional oil and gas resources, turbidite fan low-permeability reservoirs, as one of the important types of unconventional oil and gas reservoir resources, have gradually become a hot spot in exploration and development. Larger oil and gas potential. The research on the distribution of oil and water in turbidite fan reservoirs is relatively lagging behind, which has become the main factor restricting the large-scale development of turbidite fan reservoirs. Compared with conventional sandstone reservoirs, the underground architecture of turbidite fan reservoirs is complex, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62
CPCG06F18/2411
Inventor 徐守余路研陈麦雨王鑫张晓帆徐梦佳邹世豪
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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