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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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Claim

Data package for Poromechanical analysis of oil well cements in CO2-rich environments

Research datakeyboard_double_arrow_right Dataset 23 Jan 2023 English Publisher:ZenodoFunded by:EC | DISCO2 STORE
Authors: Barría, Juan Cruz; Mohammadreza Bagheri; Manzanal, Diego; Shariatipour, Seyed M.; Jean-Michel Pereira;

doi: 10.5281/zenodo.7561993 , 10.5281/zenodo.7561992

Data package for Poromechanical analysis of oil well cements in CO2-rich environments

Abstract

Data package for the results obtained in Poromechanical analysis of oil well cements in CO2-rich environments. Juan Cruz Barría, Mohammadreza Bagheri, Diego Manzanal, Seyed M. Shariatipour, Jean-Michel Pereira, Poromechanical analysis of oil well cements in CO2-rich environments, International Journal of Greenhouse Gas Control, Volume 119, 2022, 103734, ISSN 1750-5836, https://doi.org/10.1016/j.ijggc.2022.103734.

Related Organizations
Keywords

Class G cement, Numerical modeling, Poromechanical behavior, Supercritical carbonation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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