阅读说明：本技术 一种超低渗透油藏分类方法 (Ultra-low permeability oil reservoir classification method ) 是由 刘保磊 雷征东 陈新彬 杨玲 于 2019-08-29 设计创作，主要内容包括：本发明提供一种超低渗透油藏分类方法及系统,所提供的方法包括：获取若干超低渗透油藏的预设参数数据,根据所述预设参数数据,基于因子分析方法,获得每一个所述超低渗透油藏的主成分信息；对所述主成分信息进行聚类分析,获得若干所述超低渗透油藏中每一个所述超低渗透油藏的分类信息；根据所述分类信息,对所述分类信息中每一类型的超低渗透油田进行开发效果评价,获得每一个所述超低渗透油藏的开发效果评价信息。本发明实施例提供的方法,能有效区分各类超低渗透油藏区块的开发特征,分类结果与实际开发特征相吻合,能够为超低渗透油藏的合理开发提供分类依据,正确指导超低渗透油藏的生产开发。(The invention provides a method and a system for classifying ultra-low permeability oil reservoirs, wherein the method comprises the following steps: acquiring preset parameter data of a plurality of ultra-low permeability oil reservoirs, and acquiring main component information of each ultra-low permeability oil reservoir based on a factor analysis method according to the preset parameter data; performing cluster analysis on the principal component information to obtain classification information of each ultra-low permeability reservoir in a plurality of ultra-low permeability reservoirs; and according to the classification information, evaluating the development effect of each type of ultra-low permeability oil field in the classification information to obtain the development effect evaluation information of each ultra-low permeability oil reservoir. The method provided by the embodiment of the invention can effectively distinguish the development characteristics of various ultra-low permeability reservoir blocks, the classification result is matched with the actual development characteristics, and classification basis can be provided for reasonable development of the ultra-low permeability reservoir, so that the production development of the ultra-low permeability reservoir can be correctly guided.)

1. An ultra-low permeability reservoir classification method, comprising:

acquiring preset parameter data of a plurality of ultra-low permeability oil reservoirs, and acquiring main component information of each ultra-low permeability oil reservoir based on a factor analysis method according to the preset parameter data;

performing cluster analysis on the principal component information to obtain classification information of each ultra-low permeability reservoir in a plurality of ultra-low permeability reservoirs;

according to the classification information, evaluating the development effect of each type of ultra-low permeability oil field in the classification information to obtain the development effect evaluation information of each ultra-low permeability oil reservoir;

wherein the preset parameter data includes: average drilling encounters a combination of one or more of effective thickness, porosity, original oil saturation, mobility, volume coefficient, pressure coefficient, and extent of fracture development.

2. The method for classifying ultra-low permeability reservoirs according to claim 1, wherein the step of obtaining principal component information of each ultra-low permeability reservoir based on a factor analysis method comprises:

standardizing the preset parameter data of the ultra-low permeability oil fields, and performing factor analysis on the standardized preset parameter data to obtain a factor analysis result;

and determining the number of factors to be extracted by a principal component analysis method and combining the factor analysis result to obtain a component matrix.

3. The method for classifying ultra-low permeability oil reservoirs according to claim 2, wherein the step of determining the number of factors to be extracted by the principal component analysis method in combination with the factor analysis result to obtain the component matrix comprises:

selecting a first principal component, a second principal component, a third principal component and a fourth principal component according to a preset total variance interpretation table and a lithotripsy graph;

wherein the first principal component comprises parameters of original oil saturation and porosity; the second principal component contains a parameter of volume coefficient; the third main component comprises parameters of average drilling effective thickness and crack development degree; the fourth principal component contains parameters of pressure coefficient and fluidity.

4. The method for classifying ultra-low permeability reservoirs according to claim 1, wherein the step of performing cluster analysis on the principal component information to obtain classification information of each of a plurality of ultra-low permeability reservoirs specifically comprises:

and performing cluster analysis on the main component information, dividing a plurality of ultra-low permeability oil fields into three classes, and obtaining classification information of each ultra-low permeability oil reservoir.

5. The method for classifying ultra-low permeability oil reservoirs according to claim 4, wherein the step of evaluating the development effect of each type of ultra-low permeability oil field in the classification information according to the classification information to obtain the development effect evaluation information of each ultra-low permeability oil reservoir specifically comprises:

correcting the standard boy's chart according to a preset low-permeability reservoir boy's chart correction method to obtain an ultra-low-permeability reservoir block boy's chart;

and predicting the recovery ratio of each type of ultra-low permeability reservoir according to the Tong's chart of the ultra-low permeability reservoir block to obtain the recovery ratio of each type of ultra-low permeability reservoir.

6. The method for ultra-low permeability reservoir classification of claim 5, further comprising: and judging each type of ultra-low permeability reservoir according to the graphical method to obtain the attenuation characteristics of each type of ultra-low permeability reservoir.

7. An ultra-low permeability reservoir classification system, comprising:

the factor analysis module is used for acquiring preset parameter data of a plurality of ultra-low permeability oil reservoirs and acquiring main component information of each ultra-low permeability oil reservoir based on a factor analysis method according to the preset parameter data;

the clustering module is used for carrying out clustering analysis on the main component information to obtain classification information of each ultra-low permeability reservoir in a plurality of ultra-low permeability reservoirs;

the evaluation module is used for evaluating the development effect of each type of ultra-low permeability oil field in the classification information according to the classification information to obtain the development effect evaluation information of each ultra-low permeability oil reservoir;

wherein the preset parameter data includes: average drilling encounters a combination of one or more of effective thickness, porosity, original oil saturation, mobility, volume coefficient, pressure coefficient, and extent of fracture development.

8. The system of claim 7, wherein the factor analysis module is specifically configured to:

standardizing the preset parameter data of the ultra-low permeability oil fields, and performing factor analysis on the standardized preset parameter data to obtain a factor analysis result;

and determining the number of factors to be extracted by a principal component analysis method and combining the factor analysis result to obtain a component matrix.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method of classification of ultra-low permeability reservoirs of any one of claims 1 to 6.

10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method for ultra-low permeability reservoir classification of any of claims 1 to 6.