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Huang, Sheng, Wang, Li, Li, Zaoyuan, Su, Donghua, Luo, Qianmei (2024) Machine learning-based prediction model for CO2-induced corrosion on oil well cement under high-pressure and high-temperature condition. Construction and Building Materials, 414. 134999 doi:10.1016/j.conbuildmat.2024.134999

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning-based prediction model for CO2-induced corrosion on oil well cement under high-pressure and high-temperature condition
JournalConstruction and Building Materials
AuthorsHuang, ShengAuthor
Wang, LiAuthor
Li, ZaoyuanAuthor
Su, DonghuaAuthor
Luo, QianmeiAuthor
Year2024 (February)Volume414
PublisherElsevier BV
DOIdoi:10.1016/j.conbuildmat.2024.134999Search in ResearchGate
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Mindat Ref. ID17156935Long-form Identifiermindat:1:5:17156935:5
GUID0
Full ReferenceHuang, Sheng, Wang, Li, Li, Zaoyuan, Su, Donghua, Luo, Qianmei (2024) Machine learning-based prediction model for CO2-induced corrosion on oil well cement under high-pressure and high-temperature condition. Construction and Building Materials, 414. 134999 doi:10.1016/j.conbuildmat.2024.134999
Plain TextHuang, Sheng, Wang, Li, Li, Zaoyuan, Su, Donghua, Luo, Qianmei (2024) Machine learning-based prediction model for CO2-induced corrosion on oil well cement under high-pressure and high-temperature condition. Construction and Building Materials, 414. 134999 doi:10.1016/j.conbuildmat.2024.134999
In(2024) Construction and Building Materials Vol. 414. Elsevier BV

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