Enhanced oil recovery potential predicting method based on grey system theory

Abstract

The invention discloses an enhanced oil recovery potential predicting method based on a grey system theory. The predicting method comprises the following steps: A. according to the actual situation of an oilfield, selecting enhanced oil recovery data within a continuous time period, and classifying the data into an analog data set and a detecting data set; B. constructing an original sequence by virtue of an analog data set so as to obtain a 1-AGO sequence; C. calculating a consecutive neighbor mean generation sequence of the 1-AGO sequence by virtue of an optimized fuzzy prediction model background value formula; D. calculating a development coefficient and a grey action quantity so as to obtain a time response formula and a reducing value; E. obtaining a model calculating analog value by adopting the step D and carrying out fitting precision inspection; and F. predicting an enhanced oil recovery potential by virtue of a reducing value calculating method obtained from the step D. The method can be used for eliminating the predicting error caused by the improper selection of influencing factors by analyzing the enhanced oil recovery data. Meanwhile, by optimizing and improving a fuzzy predicting model, the predicting precision of the model is relatively high, and an enhanced oil recovery predicting result is relatively accurate, fair and reasonable.

Description

technical field [0001] The present invention relates to a method for predicting the potential of enhanced oil recovery based on the gray system theory, in particular to a method for constructing a prediction model using the gray prediction method in the gray system theory, and optimizing the prediction model by improving the initial value and background value of the model to realize A method for predicting the enhanced oil recovery potential of oilfield crude oil. Background technique [0002] As the lifeblood of the national economy, oil production directly affects the country's economic development. Exploring the method of enhancing oil recovery is an important task in crude oil production, and predicting the potential of enhanced oil recovery has important practical significance for the long-term development of oil fields. Therefore, the prediction of the oil recovery potential of oil field is one of the important research tasks of oil field development workers. [0003...

AI Technical Summary

Problems solved by technology

The empirical formula method selects some factors that affect the ultimate recovery, which has the advantages of quickness and simplicity, but the prediction accuracy and reliability are not high, the prediction results of different empirical formulas are not comparable, and the application limitations are relatively large; analysis The method generally needs to make more assumptions, and when it is used in 3D actual reservoirs, it often needs to correct the area sweep coefficient, heterogeneity, etc., and the calculation is more complicated; the accuracy of the numerical simulation method often depends on the description of reservoir characteristics and injection The accuracy and rationality of the situational data, the selection of factors that affect the enhanced oil recovery have a greater impact on the prediction results, and this method requires a lot of energy to collect data

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