Based on 2011 and 2021 non-repeated time-lapse data in G89 well block of Shengli oilfield, a four-step processing method is proposed. The first step is survey consistence. Bysparse sampling, it makes the monitoring survey consistent with the base exploration. The second step is generating tw-o stratal cubes. Because seismic travel time is different for the injection layer, the object cubes of two data must be int-erpolated, and make them having the same samples. The th-ird step is amplitude matching processing. Using the top su-rface amplitude as a reference, the surface amplitude of twodata is implemented coherently. The fourth step is embedd-ing and predicting. After matching processing, embed the difference attribute into the basic exploration data, and ext-ract the sensitive seismic attributes of CO2 flooding. Throu-gh analysis and comparison, the thickness and average area of peak can better reflect the plume of CO2 flooding.

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