Low-permeability reservoir characteristic main control factor extraction method and device and readable storage medium

Abstract

The invention discloses a low-permeability reservoir characteristic main control factor extraction method and device and a readable storage medium. The low-permeability reservoir characteristic main control factor extraction method comprises the following steps: acquiring parameters of a plurality of to-be-classified reservoirs in a research area; screening out a plurality of parameters meeting preset conditions according to the relevancy among the parameters; standardizing the screened parameters; carrying out factor analysis on the parameters after standardization processing, and extractinga plurality of main factors; classifying the to-be-classified reservoirs by taking the extracted main factor as a standard; and determining a main factor with the maximum influence of each type of oilreservoir so as to determine a main control factor of each type of oil reservoir. The technical scheme provided by the invention has the advantages that the low-permeability oil reservoirs are classified through a factor analysis method and a K-mean clustering analysis method, and main control influence factor of each type of oil reservoirs is defined. According to the method, hidden oil reservoir characteristics can be extracted, and main control influence factors of various oil reservoirs are clarified.

Description

technical field [0001] The invention relates to the technical field of unconventional oil and gas development, in particular to a method, equipment and readable storage medium for extracting main controlling factors of characteristics of low-permeability reservoirs. Background technique [0002] Low permeability reservoirs have the characteristics of three lows (low permeability, low pressure, and low abundance). In order to improve the recovery of such reservoirs, it is very necessary to correctly grasp the main controlling factors of reservoir characteristics. [0003] In the process of determining the main controlling factors, the methods adopted by different scholars also vary from person to person. Among them, Chen Xinbin determined the main controlling factors of reservoir development through principal component analysis, but this method did not consider the influence of the reservoir's own energy on the reservoir development process; Huang Li et al. used gray correlat...

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Problems solved by technology

Among them, Chen Xinbin determined the main controlling factors of reservoir development through principal component analysis, but this method did not consider the influence of the reservoir's own energy on the reservoir development process; Huang Li et al. used gray correlation method, stepwise regression method, principal component analysis However, the operation process of this method is complicated, and it is not suitable for the situation with too many data variables; Liu Zhi et al. used geostatistics and parameter crossplot analysis to determine the main controlling factors, but this method The method does not take into account the impact of the implicit relativity between variables on the main control factors; Wang Shaolei et al. use the orthogonal test visual analysis method to determine the main control factors. This method is suitable for the case of few data variables. If there are too many variables, this method is no longer applicable; Cao Haitao et al. used the gray relational analysis method to determine the main controlling factors. This method does not require too much data variables and requires less calculation. Further supplementary information can determine the final solution

[0004] It can be seen that the existing methods for determining the main controlling factors of reservoir characteristics cannot extract hidden reservoir characteristics and cannot refine the main controlling factors of various types of reservoirs.

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