The relation between petrophysical and transport properties of the Boom Clay and Eigenbilzen Sands

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The relation between petrophysical and transport properties of the Boom Clay and Eigenbilzen Sands. / Jacops, Elke; Rogiers, Bart; Frederickx, Lander; Bruggeman, Christophe; Swennen, Rudy; Littke, Ralf; Krooss, Bernhard; Amann-Hildenbrand, Alexandra; Bruggeman, Christophe.

In: Applied Geochemistry, Vol. 114, 104527, 01.03.2020, p. 1-18.

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Jacops, Elke ; Rogiers, Bart ; Frederickx, Lander ; Bruggeman, Christophe ; Swennen, Rudy ; Littke, Ralf ; Krooss, Bernhard ; Amann-Hildenbrand, Alexandra ; Bruggeman, Christophe. / The relation between petrophysical and transport properties of the Boom Clay and Eigenbilzen Sands. In: Applied Geochemistry. 2020 ; Vol. 114. pp. 1-18.

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@article{b0e9eb64814d4cf0b9df869ca481736a,
title = "The relation between petrophysical and transport properties of the Boom Clay and Eigenbilzen Sands",
abstract = "Within the framework of safe disposal of high and intermediate level radioactive waste, it is well known that for both the Boom Clay and overlying Eigenbilzen Sands (early Oligocene; Rupelian), the composition varies with depth. Though, a detailed understanding of how these intrinsic variations may affect the basic transport properties is still missing. Therefore, a small but comprehensive and unique data set, containing transport parameters (hydraulic conductivity and diffusivity) and related properties (mineral composition and texture, grain size distribution, specific surface area and pore size distribution) of different samples of the Boom Clay and Eigenbilzen Sands has been gathered during recent years. First, the variability in transport parameters and petrophysical properties is discussed and mutual relationships are investigated. Second, the performance of predictive modelling is explored. The multivariate analysis clearly illustrates that the data are mainly explained by two main axes of variation. One corresponds to the logarithmic hydraulic conductivity (logK) and all petrophysical properties that are very strongly correlated to it. The second axis is independent of logK, and relates to the size of the diffusing molecules. Finally, predictive modelling seems promising at this point, but the limited quality of the currently available test cases prohibits being conclusive on the model performance and its generalisability.",
keywords = "Boom clay, Eigenbilzen Sands, Diffusion, Gas, Hydraulic conductivity, Correlations, Predictive modelling",
author = "Elke Jacops and Bart Rogiers and Lander Frederickx and Christophe Bruggeman and Rudy Swennen and Ralf Littke and Bernhard Krooss and Alexandra Amann-Hildenbrand and Christophe Bruggeman",
note = "Score=10",
year = "2020",
month = "3",
day = "1",
doi = "10.1016/j.apgeochem.2020.104527",
language = "English",
volume = "114",
pages = "1--18",
journal = "Applied Geochemistry",
issn = "0883-2927",
publisher = "Elsevier",

}

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TY - JOUR

T1 - The relation between petrophysical and transport properties of the Boom Clay and Eigenbilzen Sands

AU - Jacops, Elke

AU - Rogiers, Bart

AU - Frederickx, Lander

AU - Bruggeman, Christophe

AU - Swennen, Rudy

AU - Littke, Ralf

AU - Krooss, Bernhard

AU - Amann-Hildenbrand, Alexandra

AU - Bruggeman, Christophe

N1 - Score=10

PY - 2020/3/1

Y1 - 2020/3/1

N2 - Within the framework of safe disposal of high and intermediate level radioactive waste, it is well known that for both the Boom Clay and overlying Eigenbilzen Sands (early Oligocene; Rupelian), the composition varies with depth. Though, a detailed understanding of how these intrinsic variations may affect the basic transport properties is still missing. Therefore, a small but comprehensive and unique data set, containing transport parameters (hydraulic conductivity and diffusivity) and related properties (mineral composition and texture, grain size distribution, specific surface area and pore size distribution) of different samples of the Boom Clay and Eigenbilzen Sands has been gathered during recent years. First, the variability in transport parameters and petrophysical properties is discussed and mutual relationships are investigated. Second, the performance of predictive modelling is explored. The multivariate analysis clearly illustrates that the data are mainly explained by two main axes of variation. One corresponds to the logarithmic hydraulic conductivity (logK) and all petrophysical properties that are very strongly correlated to it. The second axis is independent of logK, and relates to the size of the diffusing molecules. Finally, predictive modelling seems promising at this point, but the limited quality of the currently available test cases prohibits being conclusive on the model performance and its generalisability.

AB - Within the framework of safe disposal of high and intermediate level radioactive waste, it is well known that for both the Boom Clay and overlying Eigenbilzen Sands (early Oligocene; Rupelian), the composition varies with depth. Though, a detailed understanding of how these intrinsic variations may affect the basic transport properties is still missing. Therefore, a small but comprehensive and unique data set, containing transport parameters (hydraulic conductivity and diffusivity) and related properties (mineral composition and texture, grain size distribution, specific surface area and pore size distribution) of different samples of the Boom Clay and Eigenbilzen Sands has been gathered during recent years. First, the variability in transport parameters and petrophysical properties is discussed and mutual relationships are investigated. Second, the performance of predictive modelling is explored. The multivariate analysis clearly illustrates that the data are mainly explained by two main axes of variation. One corresponds to the logarithmic hydraulic conductivity (logK) and all petrophysical properties that are very strongly correlated to it. The second axis is independent of logK, and relates to the size of the diffusing molecules. Finally, predictive modelling seems promising at this point, but the limited quality of the currently available test cases prohibits being conclusive on the model performance and its generalisability.

KW - Boom clay

KW - Eigenbilzen Sands

KW - Diffusion

KW - Gas

KW - Hydraulic conductivity

KW - Correlations

KW - Predictive modelling

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/38966566

U2 - 10.1016/j.apgeochem.2020.104527

DO - 10.1016/j.apgeochem.2020.104527

M3 - Article

VL - 114

SP - 1

EP - 18

JO - Applied Geochemistry

JF - Applied Geochemistry

SN - 0883-2927

M1 - 104527

ER -

ID: 6831148