Hydraulic characterisation of iron-oxide-coated sand and gravel based on nuclear magnetic resonance relaxation mode analyses

Costabel, Stephan; Weidner, Christoph; Müller‐Petke, Mike; Houben, Georg

doi:10.5194/hess-22-1713-2018

Cited by 16 publications

(16 citation statements)

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“…Interestingly, the reference curves for MS and CS show, nevertheless, a higher degree of similarity to the corresponding NMR estimations. However, considering the fact that these two samples are at least partly outside the fast diffusion regime, we have to expect that the NMR curves might overestimate the PSD (Costabel et al, 2018) and this bias would cause WRF estimations with underestimated slope similar to the reference curves. This problem will be discussed below in detail.…”

Section: Nmr-based Estimation Of Wrfmentioning

confidence: 99%

Soil hydraulic interpretation of nuclear magnetic resonance measurements based on circular and triangular capillary models

Costabel

Hiller

2021

Vadose Zone Journal

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Geophysical nuclear magnetic resonance (NMR) applications are used to estimate pore size distributions (PSDs) of rocks and sediments. This is commonly realized by empirical calibration using information about the surface-to-volume ratio of the material. Recent research has developed joint inversion concepts for NMR relaxation data that provides the PSD with a minimum of information. The application requires the NMR signal of a sample at saturation and at least one at partial saturation and at known suction. The new inversion concept physically simulates the desaturation process as part of the forward operator. The cross-section of the model capillaries in the underlying bundle can be either circular or triangular. Our study investigates the performance of the NMR joint inversion to predict water retention function (WRF) and capillary-based hydraulic conductivity (K cap) as functions of saturation for different sands. The angularity of the pores has no significant impact on the estimated WRF but affects the K cap estimation significantly. Our study shows that the WRF is predicted reliably for sand samples under fast diffusion conditions. The K cap estimations are also plausible but tend to systematic overestimation, for which we identified the tortuosity being the main reason. Because NMR relaxation data generally do not provide tortuosity information, a plausible tortuosity model remains an issue of classical calibration. Further development of the approach will thus consider tortuosity measurements (e.g., by electrical resistivity measurements and/or gradient NMR) and will consider the relaxation mechanisms outside fast diffusion conditions to enhance its applicability for coarse soils. 1 INTRODUCTION Quantifying the soil hydraulic functions is challenging. The water retention function (WRF) of soil samples can be

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Section: Nmr-based Estimation Of Wrfmentioning

confidence: 99%

Soil hydraulic interpretation of nuclear magnetic resonance measurements based on circular and triangular capillary models

Costabel

Hiller

2021

Vadose Zone Journal

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“…Geochemical analyses, in contrast to petrographic ones, limit the interpretations of geological processes because mineral phases can only be assumed and not determined for certain. A high mass fraction of Fe 2 O 3 may imply that the rock is rich in iron-bearing minerals like clay minerals, hematite, magnetite, goethite, lepidocrite or ferrihydrite (Costabel et al, 2018),…”

Section: Petrophysical and Geochemical Characteristicsmentioning

confidence: 99%

“…Iron oxides are more common in secondary precipitates that usually form during eo-and mesodiagenesis (Pettijohn et al, 1987). The degrading impact of iron-oxide-rich coatings on permeability and porosity in unconsolidated sand and gravel has been shown in studies like Costabel et al (2018). The amount of detrital iron-rich phases like hematite present in the rock matrix is typically less (Walker et al, 1981;Turner et al, 1995) compared to the secondary amount.…”

Section: Petrophysical and Geochemical Characteristicsmentioning

confidence: 99%

High-Resolution Analysis of the Physicochemical Characteristics of Sandstone Media at the Lithofacies Scale

Linsel¹,

Wiesler²,

Hornung³

et al. 2020

Preprint

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Abstract. The prediction of physicochemical rock properties in subsurface models regularly suffers from uncertainty observed at the sub-meter scale. Although at this scale – which is commonly termed the lithofacies scale – the physicochemical variability plays a critical role for various types of subsurface utilization, its dependence on syn- and post-depositional processes is still subject to investigation. The impact of syn- and post-depositional geological processes, including depositional dynamics, diagenetical compaction and chemical mass transfer, onto the spatial distribution of physicochemical properties in siliciclastic media at the lithofacies scale is investigated in this study. We propose a new workflow using two cubic rock samples where eight representative geochemical, thermophysical, elastic and hydraulic properties are measured on the cubes' faces and on samples taken from the inside. The scalar fields of the properties are then constructed by means of spatial interpolation. The rock cubes represent the structurally most homogeneous and most heterogeneous lithofacies types observed in a Permian lacustrine delta formation that deposited in an intermontane basin. The spatio-temporal controlling factors are identified by exploratory data analysis and geostatistical modeling in combination with thin section and environmental scanning electron microscopy analyses. Sedimentary structures are well preserved in the spatial patterns of the negatively correlated permeability and mass fraction of Fe2O3. The Fe-rich mud fraction, which builds large amounts of the intergranular rock matrix and of the pseudomatrix, has a degrading effect onto the hydraulic properties. This relationship is underlined by a zonal anisotropy that is connected to the observed stratification. Feldspar alteration produced secondary pore space that is filled with authigenic products including illite, kaolinite and opaque phases. The local enrichment of clay minerals implies a non-pervasive alteration process that is expressed by network-like spatial patterns of the positively correlated mass fractions of Al2O3 and K2O. Those patterns are spatially decoupled from primary sedimentary structures. The elastic properties, namely p- and s-wave velocity, indicate a weak anisotropy that is not inevitably oriented perpendicularly to the sedimentary structures. The multifarious patterns observed in this study emphasize the importance of high-resolution sampling in order to properly model the variability present in a lithofacies-scale system. In fact, the physicochemical variability observed at the lithofacies scale might nearly cover the global variability in a formation. Hence, if the local variability is not considered in full-field projects – where the sampling density is usually low – statistical correlations and thus conclusions about causal relationships among physicochemical properties might be feigned inadvertently.

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“…in iron-bearing minerals like clay minerals, hematite, magnetite, goethite, lepidocrite or ferrihydrite (Costabel et al, 2018), however, a precise classification of the mineral phase is not possible. Iron oxides are more common in secondary precipitates that usually form during eo-and mesodiagenesis (Pettijohn et al, 1987).…”

Section: Petrophysical and Geochemical Characteristicsmentioning

confidence: 99%

“…Iron oxides are more common in secondary precipitates that usually form during eo-and mesodiagenesis (Pettijohn et al, 1987). The degrading impact of iron-oxiderich coatings on permeability and porosity in unconsolidated sand and gravel has been shown in studies like Costabel et al (2018). The number of detrital iron-rich phases, such as hematite, which are present in the rock matrix, is typically less (Walker et al, 1981;Turner et al, 1995;Ixer et al, 1979) when compared to the secondary amount.…”

Section: Petrophysical and Geochemical Characteristicsmentioning

confidence: 99%

High-resolution analysis of the physicochemical characteristics of sandstone media at the lithofacies scale

et al. 2020

View full text Add to dashboard Cite

Abstract. The prediction of physicochemical rock properties in subsurface models regularly suffers from uncertainty observed at the submeter scale. Although at this scale – which is commonly termed the lithofacies scale – the physicochemical variability plays a critical role for various types of subsurface utilization, its dependence on syndepositional and postdepositional processes is still subject to investigation. The impact of syndepositional and postdepositional geological processes, including depositional dynamics, diagenetic compaction and chemical mass transfer, onto the spatial distribution of physicochemical properties in siliciclastic media at the lithofacies scale is investigated in this study. We propose a new workflow using two cubic rock samples where eight representative geochemical, thermophysical, elastic and hydraulic properties are measured on the cubes' faces and on samples taken from the inside. The scalar fields of the properties are then constructed by means of spatial interpolation. The rock cubes represent the structurally most homogeneous and most heterogeneous lithofacies types observed in a Permian lacustrine-deltaic formation that deposited in an intermontane basin. The spatiotemporal controlling factors are identified by exploratory data analysis and geostatistical modeling in combination with thin section and environmental scanning electron microscopy analyses. Sedimentary structures are well preserved in the spatial patterns of the negatively correlated permeability and mass fraction of Fe2O3. The Fe-rich mud fraction, which builds large amounts of the intergranular rock matrix and of the pseudomatrix, has a degrading effect on the hydraulic properties. This relationship is underlined by a zonal anisotropy that is connected to the observed stratification. Feldspar alteration produced secondary pore space that is filled with authigenic products, including illite, kaolinite and opaque phases. The local enrichment of clay minerals implies a nonpervasive alteration process that is expressed by the network-like spatial patterns of the positively correlated mass fractions of Al2O3 and K2O. Those patterns are spatially decoupled from primary sedimentary structures. The elastic properties, namely P-wave and S-wave velocity, indicate a weak anisotropy that is not strictly perpendicularly oriented to the sedimentary structures. The multifarious patterns observed in this study emphasize the importance of high-resolution sampling in order to properly model the variability present in a lithofacies-scale system. Following this, the physicochemical variability observed at the lithofacies scale might nearly cover the global variability in a formation. Hence, if the local variability is not considered in full-field projects – where the sampling density is usually low – statistical correlations and, thus, conclusions about causal relationships among physicochemical properties might be feigned inadvertently.

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Hydraulic characterisation of iron-oxide-coated sand and gravel based on nuclear magnetic resonance relaxation mode analyses

Abstract: Published by Copernicus Publications on behalf of the European Geosciences Union.2. to correlate NMR relaxation parameters with hydraulically effective parameters;3. to assess the model published by Müller-Petke et al. (2015) in the context of iron-coated sediments, which

Cited by 16 publications

References 58 publications

Soil hydraulic interpretation of nuclear magnetic resonance measurements based on circular and triangular capillary models

Soil hydraulic interpretation of nuclear magnetic resonance measurements based on circular and triangular capillary models

High-Resolution Analysis of the Physicochemical Characteristics of Sandstone Media at the Lithofacies Scale

High-resolution analysis of the physicochemical characteristics of sandstone media at the lithofacies scale

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