A grading evaluation method for representing waterflood sweep efficiency in different water-containing stages

By using indoor flat core experiments and fuzzy C-means clustering algorithm, the problem of unclear water drive sweep extent was solved, and the water drive sweep extent of different water-bearing stages and areas was quantitatively evaluated, supporting oilfield development adjustments.

CN122447052APending Publication Date: 2026-07-24CNOOC TIANJIN BRANCH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CNOOC TIANJIN BRANCH
Filing Date
2026-05-19
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In the existing technology, the extent of water drive sweep during water drive development is unclear, and there is a lack of effective methods to characterize the extent of water drive sweep in different water-bearing stages and areas.

Method used

Indoor flat plate core experiments were used to obtain resistivity change data. Combined with fuzzy C-means clustering algorithm, a water drive sweep severity classification evaluation method was established by calculating fuzzy membership function and cluster center, and the water drive sweep severity was classified into no sweep, weak sweep, medium sweep, strong sweep and very strong sweep.

Benefits of technology

It enables quantitative evaluation of water drive sweep extent at different water-cut stages and in different regions, eliminates the influence of dimensions, provides a clear characterization of sweep patterns, and supports oilfield development adjustments.

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Abstract

The application discloses a kind of grading evaluation methods for characterizing different water stage water flooding sweep efficiency, by carrying out three-dimensional flat plate core oil displacement experiment, real-time recording different water stage rock each position resistance value, resistance value is converted into oil saturation by rock electricity relation, and is normalized processing, iteration updates clustering center and membership matrix in combination with fuzzy C mean clustering algorithm, establish different water stage water flooding sweep efficiency grading evaluation method, according to the oil saturation data of core, calculate different water stage water flooding sweep coefficient, and according to water flooding sweep coefficient, divide sweep efficiency grade, realize the quantitative grading evaluation of reservoir sweep characteristics in different water stage.The evaluation result of the application is more universal and objective, realizes the quantitative characterization of water flooding sweep degree in different water stage and different regional interior, and provides support for subsequent development adjustment of oil field.
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