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An integrated deep learning framework for full-cycle CCUS-EOR evaluation and optimization under carbon neutrality.

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Title: An integrated deep learning framework for full-cycle CCUS-EOR evaluation and optimization under carbon neutrality.
Authors: Shen, Bin1,2, Yang, Sheng-Lai1,2 yangsl@cup.edu.cn, Zhang, Yi-Qi2, Gao, Xin-Yuan2, Bi, Lu-Fei2, Du, Kai2, Zhao, Er-Meng3, Zeng, Hong-Bo4 hongbo.zeng@ualberta.ca
Source: Petroleum Science (KeAi Communications Co.). Apr2026, Vol. 23 Issue 4, p2288-2307. 20p.
Database: Academic Search Ultimate
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An: 193664316
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  Data: <searchLink fieldCode="JN" term="%22Petroleum+Science+%28KeAi+Communications+Co%2E%29%22">Petroleum Science (KeAi Communications Co.)</searchLink>. Apr2026, Vol. 23 Issue 4, p2288-2307. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193664316
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        Value: 10.1016/j.petsci.2026.01.028
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      – Code: eng
        Text: English
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      – TitleFull: An integrated deep learning framework for full-cycle CCUS-EOR evaluation and optimization under carbon neutrality.
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              Text: Apr2026
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