2022
DOI: 10.1002/vzj2.20188
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Parameter estimation from spontaneous imbibition into volcanic tuff

Abstract: Two‐phase fluid flow properties underlie quantitative prediction of water and gas movement, but constraining these properties typically requires multiple time‐consuming laboratory methods. The estimation of two‐phase flow properties (van Genuchten parameters, porosity, and intrinsic permeability) is illustrated in cores of vitric nonwelded volcanic tuff using Bayesian parameter estimation that fits numerical models to observations from spontaneous imbibition experiments. The uniqueness and correlation of the e… Show more

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Cited by 3 publications
(3 citation statements)
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References 88 publications
(104 reference statements)
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“…This is a step towards developing a single laboratory test which can be used to simultaneously estimate single-phase flow (porosity and permeability), two-phase flow (van Genuchten (1980) model parameters), vapor transport (tortuosity), and thermal (thermal conductivity and source strength) properties. Kuhlman et al (2022b) estimated the single-and two-phase flow parameters from mass imbibed and wetting front elevation data.…”
Section: Discussionmentioning
confidence: 99%
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“…This is a step towards developing a single laboratory test which can be used to simultaneously estimate single-phase flow (porosity and permeability), two-phase flow (van Genuchten (1980) model parameters), vapor transport (tortuosity), and thermal (thermal conductivity and source strength) properties. Kuhlman et al (2022b) estimated the single-and two-phase flow parameters from mass imbibed and wetting front elevation data.…”
Section: Discussionmentioning
confidence: 99%
“…A thermal imbibition experiment was conducted using a cylindrical core sample of tuff. The laboratory method is an extension of an approach used to estimate hydrologic properties from tuff by fitting numerical models to observed wetting front height and mass of water imbibed (Kuhlman et al, 2022b). The thermal imbibition experiment is presented in more detail (with photos) in Kuhlman et al (2022a).…”
Section: Solution Applicationmentioning
confidence: 99%
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