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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SEG/AAPG International Meeting for Applied Geoscience & Energy
August 26–29, 2024
Houston, Texas
The CO2 flood monitoring of G89 well block by non-repeated time-lapse data Available to Purchase
Yongrui Chen;
Yongrui Chen
China University of Petroleum (East China)
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Junhua Zhang;
Junhua Zhang
China University of Petroleum (East China)
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Deyong Feng;
Deyong Feng
Geophysical Research Institute of Shengli Oilfield
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Mei Yang;
Mei Yang
China University of Petroleum (East China)
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Liang Qi;
Liang Qi
Geophysical Research Institute of Shengli Oilfield
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Yuntao Zhang;
Yuntao Zhang
Geophysical Research Institute of Shengli Oilfield
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Zheng Huang
Zheng Huang
China University of Petroleum (East China)
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Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, Houston, Texas, August 2024.
Paper Number:
SEG-2024-4093885
Published:
August 26 2024
Citation
Chen, Yongrui, Zhang, Junhua, Feng, Deyong, Yang, Mei, Qi, Liang, Zhang, Yuntao, and Zheng Huang. "The CO2 flood monitoring of G89 well block by non-repeated time-lapse data." Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, Houston, Texas, August 2024. doi: https://doi.org/10.1190/image2024-4093885.1
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