Carbonate reservoir fluid permeability analysis method

Abstract

The invention discloses a carbonate reservoir fluid permeability analysis method, and relates to the technical field of fluid mechanics, and the carbonate reservoir fluid permeability analysis method comprises the following steps: constructing a geological type oil well exploitation database; factors influencing geological fracture development are screened out, a plurality of fracture development state vector indexes of different geological types are analyzed, fitting analysis is conducted on the fracture development state vector indexes and geological data of the carbonate reservoir to be mined, and compact oily fracture development state vector indexes of the carbonate reservoir to be mined are obtained; establishing an earthquake three-dimensional coherent data body of the carbonate reservoir to be mined, analyzing the change trend of the earthquake three-dimensional coherent data body, and evaluating the earthquake influence coefficient of the carbonate reservoir to be mined; correcting the dense oily fracture development state vector index by using the earthquake influence coefficient of the carbonate reservoir to be mined to obtain a dense oily fracture dessert layer distribution vector index of the carbonate reservoir to be mined; the method has the advantages that the oil gas tracking accuracy is improved, and the oil gas exploitation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fluid mechanics, and specifically relates to a method for analyzing the fluid permeability of carbonate reservoirs. Background Art

[0002] Tight oil refers to the petroleum accumulation that occurs in the form of adsorbed or free state in the dark mudstone, muddy siltstone and sandstone interlayer systems rich in organic matter and with extremely low permeability, and has the characteristics of self-generation and self-storage and continuous distribution.

[0003] The existing methods for seeking tight oil fractures mainly rely on the empirical analysis of engineers on borehole rocks. Although the oil sweet layer can be gradually traced, the preliminary rock drilling still requires a large amount of time and cost. Moreover, the underground environment is interfered by seismic factors, resulting in displacement of oil and gas accumulation, and a systematic seeking method is needed. Summary of the Invention

[0004] To solve the above technical problems, a method for analyzing the fluid permeability of carbonate reservoirs is provided. This technical solution solves the problem that the existing methods for seeking tight oil fractures mainly rely on the empirical analysis of engineers on borehole rocks. Although the oil sweet layer can be gradually traced, the preliminary rock drilling still requires a large amount of time and cost. Moreover, the underground environment is interfered by seismic factors, resulting in displacement of oil and gas accumulation, and a systematic seeking method is needed.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows: A method for analyzing the fluid permeability of carbonate reservoirs, comprising: Obtaining the production data of several types of oil wells in different historical geological conditions, and constructing an oil well production database for several geological types; Based on the oil well production database of geology, screening out the factors affecting the development of geological fractures, and analyzing several fracture development state vector indexes of different geological types; Obtaining the geological data of the carbonate reservoir to be exploited and performing fitting analysis with several tight oil fracture development state vector indexes of different geological types to obtain the tight oil fracture development state vector indexes of the carbonate reservoir to be exploited; Obtaining the seismic data of the carbonate reservoir to be exploited, and establishing a three-dimensional seismic coherence data volume of the carbonate reservoir to be exploited; Based on the three-dimensional seismic coherence data volume of the carbonate reservoir to be exploited, analyzing the change trend of the three-dimensional seismic coherence data volume, and evaluating the seismic influence coefficient of the carbonate reservoir to be exploited; Using the seismic influence coefficient of the carbonate reservoir to be exploited to correct the tight oil fracture development state vector indexes of the carbonate reservoir to be exploited, and obtaining the tight oil fracture sweet layer distribution vector indexes of the carbonate reservoir to be exploited; Among them, the distribution vector index of the tight oil-bearing fracture sweet spot layer in the carbonate reservoir to be exploited is specifically: , In the formula, is the distribution vector index of the i-th tight oil-bearing fracture sweet spot layer in the carbonate reservoir to be exploited, is the th development state vector index of the tight oil-bearing fractures in the carbonate reservoir to be exploited, is the seismic influence coefficient at the position of the carbonate reservoir to be exploited.

[0006] Preferably, based on the geological oil well exploitation database, the factors affecting the development of geological fractures are screened out, and the analysis of several development state vector indexes of different geological types specifically includes: Based on the geological oil well exploitation database, determine geological data and fracture data; Based on the fracture data, obtain several fractures containing oil in the geological fractures, denoted as tight oil-bearing fractures; Based on the geological data, determine several geological factor parameters, and construct a binary scatter plot between each geological factor parameter and the development promotion value of tight oil-bearing fractures; the geological factor parameters include: geological lithology, formation thickness, geological dissolution; Based on the binary scatter plot between each geological factor parameter and the development promotion value of tight oil-bearing fractures, analyze the linear regression coefficient between each geological factor parameter and the development promotion value of tight oil-bearing fractures, and use it as the correlation coefficient between the geological factor parameter and the development of tight oil-bearing fractures; According to the correlation coefficient of the development of tight oil-bearing fractures, mark each geological data positively correlated with tight oil-bearing fractures in the geological oil well exploitation database, and form an array of geological parameters affecting the development of tight oil-bearing fractures; Using linear mapping, convert the array of geological parameters affecting the development of tight oil-bearing fractures into a vector matrix of geological parameters affecting the development of tight oil-bearing fractures; According to each element in the vector matrix of geological parameters affecting the development of tight oil-bearing fractures, construct a fracture development state prediction model, and generate several development state vector indexes of tight oil-bearing fractures of different geological types; Among them, the correlation coefficient between the geological factor parameter and the development of tight oil-bearing fractures is specifically: , In the formula, is the correlation coefficient between the geological factor parameter and the development of tight oil-bearing fractures, is the geological parameter corresponding to the z-th scatter point in the binary scatter plot, It is the enhanced value of the development of dense oil-bearing fractures corresponding to the z-th scatter point in the binary scatter plot. It is the total number of scatter points in the binary scatter plot.

[0007] Preferably, according to each element in the geological parameter vector matrix affecting the development of dense oil-bearing fractures, a prediction model for the fracture development state is constructed, and several dense oil-bearing fracture development state vector indexes of different geological types are generated, specifically including: Based on the geological parameter vector matrix affecting the development of dense oil-bearing fractures, normalization processing is performed on each element in the matrix; Taking each geological parameter vector affecting the development of dense oil-bearing fractures as the influencing characteristic data of the corresponding fracture development, an original data set for the influence of dense oil-bearing fracture development is formed; According to the original data set for the influence of dense oil-bearing fracture development, a decision tree for the development state of each dense oil-bearing fracture is constructed, and the influencing characteristic data of each fracture development is used as the division condition for the leaf nodes of the decision tree branches, and a prediction model for the fracture development state is formed; Based on the prediction model for the fracture development state, taking the oil well production database of the geology as the root node input, and performing iterative segmentation with the maximum information gain between the oil well production data of each geology and the division condition of the leaf nodes of the decision tree branches, several dense oil-bearing fracture development state vector indexes of different geological types are generated.

[0008] It should be noted that since the influence of geological parameters on dense oil-bearing fractures is usually common, but there are influence differences, the decision trees in the random forest are in series to ensure that there is no classification deviation when facing fine-grained data.

[0009] Preferably, obtaining the geological data of the carbonate reservoir to be exploited and performing fitting analysis with several dense oil-bearing fracture development state vector indexes of different geological types to obtain the dense oil-bearing fracture development state vector indexes of the carbonate reservoir to be exploited, specifically including: Using principal component analysis to perform dimensionality reduction processing on the geological data of the carbonate reservoir to be exploited; Based on the geological parameter vector matrix affecting the development of dense oil-bearing fractures, screening according to the geological data of the carbonate reservoir to be exploited for the corresponding fracture development requirements, constructing a prediction model for the fracture development state of the carbonate reservoir to be exploited, and calculating the initial vector index of the dense oil-bearing fracture development state of the carbonate reservoir to be exploited; Analyzing and calculating the Euclidean space distance between the initial vector index of the dense oil-bearing fracture development state of the carbonate reservoir to be exploited and several dense oil-bearing fracture development state vector indexes of different geological types, and evaluating the dense oil-bearing fracture development state vector index of the carbonate reservoir to be exploited; Among them, the initialization index of the fracture development state of the carbonate reservoir to be exploited is specifically:

[0010] In the formula, is the th initialization vector index of the fracture development state of the tight oil-bearing fractures in the carbonate reservoir to be exploited, is the th fracture development state of the k th geological data affecting, is the intercept term, , , , are all regression coefficients, is the error term; Among them, the vector index of the fracture development state of the tight oil-bearing fractures in the carbonate reservoir to be exploited is specifically: , In the formula, is the th vector index of the fracture development state of the tight oil-bearing fractures in the carbonate reservoir to be exploited, is the

[0011] Preferably, based on the 3D seismic coherence data volume of the carbonate reservoir to be exploited, analyzing the change trend of the 3D seismic coherence data volume and evaluating the seismic influence coefficient of the carbonate reservoir to be exploited specifically includes: Using wavelet denoising to remove noise from the 3D seismic coherence data volume of the carbonate reservoir to be exploited; According to the 3D seismic coherence data volume of the carbonate reservoir to be exploited, an observation window is established per unit time, and the 3D seismic coherence data volume is used as an observation attribute to collect the 3D seismic coherence time series data volume of the carbonate reservoir to be exploited through trend smoothing; Based on the 3D seismic coherence time series data volume of the carbonate reservoir to be exploited, according to the coverage range of the 3D seismic coherence time series data volume, the influence trend of the geological structure of the carbonate reservoir to be exploited is evaluated, and the seismic influence coefficient of the carbonate reservoir to be exploited is evaluated; Among them, the seismic influence coefficient of the carbonate reservoir to be exploited is specifically: , In the formula, is the seismic influence coefficient at the position of the carbonate reservoir to be exploited, is the carbonate reservoir to be exploited Coherence of position for the carbonate reservoir to be exploited Coherence gradient of position for the carbonate reservoir to be exploited The v-th geological structure data of the position

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention proposes an analysis scheme for fluid permeability of carbonate reservoirs. By constructing a geological type oil well exploitation database, analyzing the fracture development state under different geological conditions, and combining the geological data of the carbonate reservoir to be exploited for fitting evaluation, the fracture development state vector index of the carbonate reservoir to be exploited is obtained. Then, using seismic data, a 3D seismic coherence data volume is established to evaluate the seismic influence coefficient, and accordingly, the fracture development state vector index is corrected to determine the sweet layer distribution vector index of the reservoir. The advantages of the present invention are: increasing the accuracy of oil and gas tracking and improving the oil and gas exploitation efficiency. Brief Description of the Drawings

[0013] Figure 1 is a flowchart of a method for analyzing fluid permeability of carbonate reservoirs; Figure 2 is a flowchart of a method for analyzing several fracture development state vector indexes of different geological types; Figure 3 is a flowchart of a method for constructing a fracture development state prediction model; Figure 4 is a flowchart of a method for obtaining the fracture development state vector index of tight oil fractures in a carbonate reservoir to be exploited; Figure 5 is a flowchart of a method for evaluating the seismic influence coefficient of a carbonate reservoir to be exploited. Detailed Embodiments

[0014] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0015] Referring to Figure 1 as shown, a method for analyzing fluid permeability of carbonate reservoirs includes: Obtaining historical oil well exploitation data of several types of different geological conditions and constructing an oil well exploitation database of several geological types; Based on the oil well exploitation database of geology, screening out the factors affecting geological fracture development and analyzing several fracture development state vector indexes of different geological types; Obtain the geological data of the carbonate reservoir to be exploited and perform fitting analysis with several tight oil fracture development state vector indicators of different geological types to obtain the tight oil fracture development state vector indicators of the carbonate reservoir to be exploited; Obtain the seismic data of the carbonate reservoir to be exploited and establish a 3D seismic coherence data volume of the carbonate reservoir to be exploited; Based on the 3D seismic coherence data volume of the carbonate reservoir to be exploited, analyze the change trend of the 3D seismic coherence data volume and evaluate the seismic influence coefficient of the carbonate reservoir to be exploited; Use the seismic influence coefficient of the carbonate reservoir to be exploited to correct the tight oil fracture development state vector indicators of the carbonate reservoir to be exploited, and obtain the tight oil fracture sweet layer distribution vector indicators of the carbonate reservoir to be exploited; Among them, the tight oil fracture sweet layer distribution vector indicators of the carbonate reservoir to be exploited are specifically: , In the formula, is the i-th tight oil fracture sweet layer distribution vector indicator of the carbonate reservoir to be exploited, is the -th tight oil fracture development state vector indicator of the carbonate reservoir to be exploited, is the seismic influence coefficient at the position of the carbonate reservoir to be exploited.

[0016] It should be noted that in known oil and gas exploitation, the geological fractures for the oil content distribution relationship are as follows: bedding fractures > structural fractures > drainage fractures. Therefore, by studying the formation principles of various fractures, high-storage oil and gas sweet layers can be found directionally, thereby reducing the piling process.

[0017] This solution constructs a geological type oil well exploitation database, analyzes the fracture development state under different geological conditions, combines the geological data of the carbonate reservoir to be exploited for fitting evaluation, obtains the fracture development state vector indicators of the carbonate reservoir to be exploited, and uses seismic data to establish a 3D seismic coherence data volume, evaluates the seismic influence coefficient, and accordingly corrects the fracture development state vector indicators to determine the sweet layer distribution vector indicators of the reservoir. The advantages of the present invention are: increasing the accuracy of oil and gas tracking and improving the oil and gas exploitation efficiency.

[0018] Refer to Figure 2 shown, based on the geological oil well exploitation database, screen out the factors affecting geological fracture development, and analyze several fracture development state vector indicators of different geological types, specifically including: Based on the geological oil well exploitation database, determine geological data and fracture data; Based on the fracture data, several types of fractures containing oil in the geological fractures are obtained, denoted as tight oil-bearing fractures; Based on the geological data, several geological factor parameters are determined, and a binary scatter plot between each geological factor parameter and the development improvement value of the tight oil-bearing fractures is constructed; the geological factor parameters include: geological lithology, formation thickness, and geological dissolution; Based on the binary scatter plot between each geological factor parameter and the development improvement value of the tight oil-bearing fractures, the linear regression coefficient between each geological factor parameter and the development improvement value of the tight oil-bearing fractures is analyzed, and used as the correlation coefficient between the geological factor parameter and the development of the tight oil-bearing fractures; According to the correlation coefficient of the development of the tight oil-bearing fractures, each piece of geological data positively correlated with the tight oil-bearing fractures in the geological oil well production database is marked, and an array of geological parameters affecting the development of the tight oil-bearing fractures is formed; Using linear mapping, the array of geological parameters affecting the development of the tight oil-bearing fractures is converted into a vector matrix of geological parameters affecting the development of the tight oil-bearing fractures; According to each element in the vector matrix of geological parameters affecting the development of the tight oil-bearing fractures, a fracture development state prediction model is constructed, and several development state vector indexes of the tight oil-bearing fractures of different geological types are generated; Among them, the correlation coefficient between the geological factor parameter and the development of the tight oil-bearing fractures is specifically: , In the formula, is the correlation coefficient between the geological factor parameter and the development of the tight oil-bearing fractures, is the geological parameter corresponding to the z-th scatter point in the binary scatter plot, is the development improvement value of the tight oil-bearing fractures corresponding to the z-th scatter point in the binary scatter plot, is the total number of scatter points in the binary scatter plot.

[0019] It can be understood that based on the geological and fracture data in the geological oil well production database, by analyzing the relationship between geological factor parameters (such as geological lithology, formation thickness, and geological dissolution) and the development of the tight oil-bearing fractures, the degree of association is determined using the linear regression coefficient, and then the positively correlated geological data is screened out and converted into a vector matrix. Finally, a fracture development state prediction model is constructed to predict the development state of the tight oil-bearing fractures under different geological types, improving the accuracy and reliability of fracture development prediction.

[0020] Referring to Figure 3 shown, according to each element in the vector matrix of geological parameters affecting the development of the tight oil-bearing fractures, constructing a fracture development state prediction model and generating several development state vector indexes of the tight oil-bearing fractures of different geological types specifically includes: Based on the geological parameter vector matrix affected by the development of tight oil-bearing fractures, normalize each element in the matrix; Take each geological parameter vector affected by the development of tight oil-bearing fractures as the influence characteristic data corresponding to the fracture development, and form the original dataset affected by the development of tight oil-bearing fractures; According to the original dataset affected by the development of tight oil-bearing fractures, construct a decision tree for the development state of each tight oil-bearing fracture. Take the influence characteristic data of each fracture development as the division condition of the decision tree branch and leaf nodes, and form a fracture development state prediction model; Based on the fracture development state prediction model, take the oil well production database of the geology as the root node input, and perform iterative segmentation with the maximum information gain between the oil well production data of each geology and the division condition of the decision tree branch and leaf nodes to generate several tight oil-bearing fracture development state vector indexes of different geological types.

[0021] It should be noted that since the influence of geological parameters on tight oil-bearing fractures is usually common, but there are influence differences, the decision trees in the random forest are in series to ensure that there will be no classification deviation when facing fine-grained data.

[0022] Refer to Figure 4 As shown, obtain the geological data of the carbonate reservoir to be exploited and perform fitting analysis with several tight oil-bearing fracture development state vector indexes of different geological types to obtain the tight oil-bearing fracture development state vector indexes of the carbonate reservoir to be exploited, specifically including: Use principal component analysis to perform dimensionality reduction on the geological data of the carbonate reservoir to be exploited; Based on the geological parameter vector matrix affected by the development of tight oil-bearing fractures, screen the corresponding fracture development requirements according to the geological data of the carbonate reservoir to be exploited, construct a fracture development state prediction model for the carbonate reservoir to be exploited, and calculate the initial vector index of the tight oil-bearing fracture development state of the carbonate reservoir to be exploited; Analyze and calculate the Euclidean space distance between the initial vector index of the tight oil-bearing fracture development state of the carbonate reservoir to be exploited and several tight oil-bearing fracture development state vector indexes of different geological types, and evaluate the tight oil-bearing fracture development state vector index of the carbonate reservoir to be exploited; Among them, the initial index of the fracture development state of the carbonate reservoir to be exploited is specifically: , In the formula, is the initial vector index of the jth tight oil-bearing fracture development state of the carbonate reservoir to be exploited, is the jth of the fracture development state of the carbonate reservoir to be exploited, and the kth kOne influencing geological data, Is the intercept term, , , , Are all regression coefficients, Is the error term; Among them, the specific vector index of the development state of tight oil fractures in the carbonate reservoir to be exploited is: , In the formula, Is the th vector index of the development state of tight oil fractures in the carbonate reservoir to be exploited, Is the

[0023] This solution reduces the dimension through the principal component analysis of the geological data of the carbonate reservoir to be exploited, screens the fracture development requirements based on the vector matrix of geological parameters affecting the development of tight oil fractures, and constructs a prediction model to calculate the initial vector index. Then calculate the Euclidean space distance between this index and the known fracture development state vector indexes of different geological types, and evaluate and determine the vector index of the development state of tight oil fractures in the reservoir to be exploited. The beneficial effect is: providing decision support for subsequent exploitation.

[0024] Referring to Figure 5 As shown, based on the 3D seismic coherence data volume of the carbonate reservoir to be exploited, analyzing the change trend of the 3D seismic coherence data volume and evaluating the seismic influence coefficient of the carbonate reservoir to be exploited specifically includes: Using wavelet denoising to remove noise from the 3D seismic coherence data volume of the carbonate reservoir to be exploited; According to the 3D seismic coherence data volume of the carbonate reservoir to be exploited, establish an observation window according to the unit time, take the 3D seismic coherence data volume as the observation attribute, and collect the 3D seismic coherence time series data volume of the carbonate reservoir to be exploited through trend smoothing; Based on the 3D seismic coherence time series data volume of the carbonate reservoir to be exploited, according to the coverage range of the 3D seismic coherence time series data volume, evaluate the seismic influence coefficient of the carbonate reservoir to be exploited for the influence trend of the geological structure of the carbonate reservoir to be exploited; the geological structure includes: fault characteristics, fracture characteristics; Among them, the specific seismic influence coefficient of the carbonate reservoir to be exploited is: , In the formula, Is the seismic influence coefficient at the position of the carbonate reservoir to be exploited, Is the carbonate reservoir to be exploited Coherence of position for the carbonate reservoir to be exploited Coherence gradient of position for the carbonate reservoir to be exploited The v-th geological structure data of the position.

[0025] It can be understood that although the development of tight oil fractures in geological changes accumulates gradually over time, due to the intensification of tight oil fracture development caused by historical earthquakes, the fractures increase, resulting in oil and gas migration, aggregation or volatilization. Therefore, the development of tight oil fractures is corrected based on historical seismic data, making the positioning of the final oily sweet layer more accurate.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for analyzing the permeability of carbonate reservoir fluids, characterized in that: include: Obtaining oil well production data of different historical geological types and constructing oil well production databases of several geological types; Based on the geological oil well mining database, the factors affecting the development of geological fractures are screened out, and several fracture development state vector indicators of different geological types are analyzed; Obtain geological data of the carbonate reservoir to be mined and perform fitting analysis on several tight oil fracture development state vector indicators of different geological types to obtain the tight oil fracture development state vector indicator of the carbonate reservoir to be mined; Acquire seismic data of the carbonate reservoir to be mined, and establish a three-dimensional seismic coherent data volume of the carbonate reservoir to be mined; Based on the seismic three-dimensional coherent data body of the carbonate reservoir to be mined, the change trend of the seismic three-dimensional coherent data body is analyzed to evaluate the seismic influence coefficient of the carbonate reservoir to be mined; The seismic influence coefficient of the carbonate reservoir to be mined is used to correct the tight oil fracture development state vector index of the carbonate reservoir to be mined, so as to obtain the tight oil fracture sweet layer distribution vector index of the carbonate reservoir to be mined; The distribution vector index of the tight oily fractured sweet layer of the carbonate reservoir to be mined is specifically: ， In the formula, is the distribution vector index of the i-th tight oil fracture sweet layer in the carbonate reservoir to be mined, The first carbonate reservoir to be mined A vector index of tight oil fracture development state, Carbonate reservoir to be mined The seismic influence coefficient of the location.

2. A carbonate reservoir fluid permeability analysis method according to claim 1, characterized in that: Based on the geological oil well mining database, the factors affecting the development of geological fractures are screened out, and several fracture development state vector indicators of different geological types are analyzed, including: Based on the geological oil well production database, determine the geological data and fracture data; Based on the fracture data, several types of fractures containing oil in geological fractures are obtained and recorded as tight oil fractures; Based on geological data, several geological factor parameters are determined, and a binary scatter plot is constructed between each geological factor parameter and the tight oil fracture development enhancement value; the geological factor parameters include: geological lithology, formation thickness, and geological dissolution; Based on the binary scatter plot between each geological factor parameter and the improvement value of tight oil fracture development, the linear regression coefficient between each geological factor parameter and the improvement value of tight oil fracture development is analyzed as the correlation coefficient between the geological factor parameter and the tight oil fracture development; According to the correlation coefficient of tight oil fracture development, each type of tight oil fracture positively correlated geological data in the geological oil well production database is marked to form an array of geological parameters affecting the development of tight oil fractures; By using linear mapping, the array of geological parameters affecting the development of tight oil fractures is converted into a vector matrix of geological parameters affecting the development of tight oil fractures; According to each element in the vector matrix of geological parameters affecting the development of tight oil fractures, a fracture development state prediction model is constructed to generate several tight oil fracture development state vector indicators of different geological types.

3. A carbonate reservoir fluid permeability analysis method according to claim 2, characterized in that: The correlation coefficient between the geological factor parameters and the development of tight oil fractures is specifically: ， In the formula, is the correlation coefficient between geological factor parameters and tight oil fracture development, is the geological parameter corresponding to the zth scatter point in the binary scatter plot, is the tight oil fracture development enhancement value corresponding to the zth scattered point in the binary scatter plot, is the total number of points in the bivariate scatter plot.

4. A carbonate reservoir fluid permeability analysis method according to claim 3, characterized in that: According to each element in the vector matrix of geological parameters affecting the development of tight oil fractures, a fracture development state prediction model is constructed to generate several tight oil fracture development state vector indicators of different geological types, including: Based on the vector matrix of geological parameters affecting the development of tight oil fractures, normalization is performed on each element in the matrix; Each geological parameter vector affecting the development of tight oil fractures is used as the corresponding fracture development influencing characteristic data to construct the original data set of tight oil fracture development influencing; Based on the original data set of tight oil fracture development, a decision tree for the development status of each tight oil fracture is constructed. The characteristic data of the development of each fracture is used as the division condition of the leaf nodes of the decision tree to form a fracture development status prediction model. Based on the fracture development state prediction model, the geological oil well production database is used as the root node input, and the maximum value of the information gain between each geological oil well production data and the division condition of the decision tree leaf node is used for iterative segmentation to generate several tight oil fracture development state vector indicators of different geological types; It should be noted that since the effects of geological parameters on tight oil fractures are usually common, but there are differences in their impact, the decision trees in the random forest are in series to ensure that there will be no classification deviation when facing fine-grained data.

5. A carbonate reservoir fluid permeability analysis method according to claim 4, characterized in that: The geological data of the carbonate reservoir to be mined are obtained and fitted with several tight oil fracture development state vector indicators of different geological types to obtain the tight oil fracture development state vector indicators of the carbonate reservoir to be mined, which specifically include: Using principal component analysis, the dimensionality reduction of geological data of carbonate reservoirs to be mined is performed; Based on the geological parameter vector matrix affecting the development of tight oil fractures, the corresponding fracture development requirements are screened according to the geological data of the carbonate reservoir to be mined, a fracture development state prediction model for the carbonate reservoir to be mined is constructed, and the initialization vector index of the tight oil fracture development state of the carbonate reservoir to be mined is calculated; The Euclidean space distance between the initialization vector index of the tight oil fracture development state of the carbonate reservoir to be mined and several tight oil fracture development state vector indexes of different geological types is analyzed and calculated, and the tight oil fracture development state vector index of the carbonate reservoir to be mined is evaluated.

6. A carbonate reservoir fluid permeability analysis method according to claim 5, characterized in that: The fracture development state initialization index of the carbonate reservoir to be mined is specifically: ， In the formula, The first carbonate reservoir to be mined Initialization vector index of tight oil fracture development status, The first carbonate reservoir to be mined The first fracture development state k Influencing geological data, is the intercept term, , , , are regression coefficients, is the error term; The tight oil fracture development state vector index of the carbonate reservoir to be mined is specifically: ， In the formula, The first carbonate reservoir to be mined A vector index of tight oil fracture development state, is the vector index of the development state of the ith tight oil fracture of the kth geological type, and n is the total number of tight oil fracture types.

7. A carbonate reservoir fluid permeability analysis method according to claim 6, characterized in that: Based on the seismic 3D coherent data volume of the carbonate reservoir to be mined, the change trend of the seismic 3D coherent data volume is analyzed, and the seismic influence coefficient of the carbonate reservoir to be mined is evaluated, which specifically includes: Wavelet denoising is used to remove noise from the seismic 3D coherent data volume of the carbonate reservoir to be mined; According to the seismic three-dimensional coherent data body of the carbonate reservoir to be mined, an observation window is established according to the unit time, the seismic three-dimensional coherent data body is used as the observation attribute, and the seismic three-dimensional coherent time series data body of the carbonate reservoir to be mined is collected through trend smoothing; Based on the seismic three-dimensional coherent time series data body of the carbonate reservoir to be mined, according to the coverage of the seismic three-dimensional coherent time series data body and the influence trend on the geological structure of the carbonate reservoir to be mined, the seismic influence coefficient of the carbonate reservoir to be mined is evaluated.

8. A carbonate reservoir fluid permeability analysis method according to claim 7, characterized in that: The seismic influence coefficient of the carbonate reservoir to be mined is specifically: ， In the formula, Carbonate reservoir to be mined The seismic influence coefficient of the location, is the coherence of the location of the carbonate reservoir to be mined, Carbonate reservoir to be mined The coherence gradient of the position, Carbonate reservoir to be mined The vth geological structure data of the location.

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