Determining pore‐throat size in Permo‐Triassic sandstones from low‐frequency electrical spectroscopy

Scott, Jennifer

doi:10.1029/2003gl016951

Cited by 117 publications

(99 citation statements)

References 18 publications

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“…Most recently, it has been shown that there are strong relationships between the spectral resistivity parameters and the pore-size distribution obtained using mercury injection capillary pressure instruments (Scott & Barker 2003. This opens up the possibility of estimation of permeability, using both surfacebased and borehole-based resistivity measurements.…”

Section: Geophysical Estimation O F Hydraulic Propertiesmentioning

confidence: 99%

Towards prediction of saturated-zone pollutant movement in groundwaters in fractured permeable-matrix aquifers: the case of the UK Permo-Triassic sandstones

Tellam

Barker

2006

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Abstract:The UK on-shore Permo-Triassic sandstones are fluvial and aeolian red beds showing a nested cyclic architecture on scales from millimetres to 100s of metres. They are typical of many continental sandstone sequences throughout the world. Groundwater flows through both matrix and fractures, with natural flow rates generally of less than 200 m year -1. At less than 30 m horizontal distances, below important minimum representative volumes for both matrix and fracture network permeability, breakthroughs are likely to be multimodal, especially close to wells, with proportionately large apparent dispersivities. 'Antifractures' -discontinuities with permeability much less than that of the host rockmay have a dominating effect. Where present, low-permeability matrix (e.g. mudstones) will significantly affect vertical flow, but will rarely prevent eventual breakthrough. Quantitative prediction of breakthrough is associated with large uncertainty. At scales of 30 to a few 100s of metres, multimodal breakthroughs from a single source become less common, although very rapid fracture flow has been recorded. At distances of hundreds of metres to a few kilometres, there is evidence that breakthroughs are unimodal, and may be more immediately amenable to quantitative prediction, even in some cases for reacting solutes. At this and greater scales, regional fault structures (both slip surfaces and granulation seams) can have major effects on sub-horizontal solute movement, and mudstones and cemented units will discourage vertical penetration. The aquifer has limited oxidizing capacity despite the almost ubiquitous presence of oxides, limited reductive capacity and limited organic sorption capacity. It has a moderate cation-exchange capacity, and frequently contains carbonate. Mn oxides are important for sorption and oxidation, but are present in limited quantity. Relationships between hydraulic and chemical properties are largely unknown. 'Hard' evidence for the solute transport conceptual model presented above is relatively limited. To be able to predict to a reasonably estimated degree of uncertainty requires knowledge of: the geological, and thence the hydraulic and geo-chemical, structure of the complex sandstone architecture (including the correlations between these properties); the development of suitable investigation techniques (especially geophysical) for mapping the structures; and the development of modelling tools incorporating matrix, fractures, 'antimatrix' and antifracture elements, each with associated hydraulic and possibly geochemical properties. In common with solute movement studies in most aquifer types, much more geological characterization needs to be undertaken. Although new investigation and modelling tools are being developed specifically for (shallow) hydrogeological applications with some considerable success, much greater advantage could be taken of importing techniques from other disciplines, and in particular from oil exploration and development.

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Section: Geophysical Estimation O F Hydraulic Propertiesmentioning

confidence: 99%

Towards prediction of saturated-zone pollutant movement in groundwaters in fractured permeable-matrix aquifers: the case of the UK Permo-Triassic sandstones

Tellam

Barker

2006

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“…The characteristic length scale is dependent on microgeometrical characteristics, for example the main grain or pore size in the material (e.g. Scott & Barker 2003, Binley et al 2005. A wider distribution of length scales generally leads to a lower frequency factor (and a less pronounced drop in the polarization at the relaxation time).…”

Section: Data Processing and Inversionmentioning

confidence: 99%

“…However, most petrophysical relationships between spectral IP and rock properties have been derived using parameters describing the microgeometry of sandstones, for example pore throat distribution and dominant pore throat size (see e.g. Scott & Barker 2003;Binley et al 2005). Since the microstructure of limestones differs from sandstones, a microscale investigation of samples from the Kristianstad limestone was performed in order to give an insight into the microstructure and composition of the investigated rock type.…”

mentioning

confidence: 99%

Investigations of a Cretaceous limestone with spectral induced polarization and scanning electron microscopy

Johansson¹,

Sparrenbom

Fiandaca

et al. 2016

Geophys. J. Int.

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“…Importantly, for both polarization mechanisms, the observed time scale of relaxation, as quantified by the Cole-Cole time constant τ, is directly related to the length scale determined by the size of electronically conducting grains in mineralized rock (Pelton et al, 1978) or by the length scale characteristic of the pore space in sedimentary rock (e.g., Titov et al, 2002;Scott and Barker, 2003;Binley et al, 2005;Slater, 2007). In this sense, the measured complex resistivity spectrum represents an integrated response over all length scales presented in the rock (e.g., Leroy et al, 2008).…”

Section: Cole-cole Modelmentioning

confidence: 99%

A comparison between Gauss-Newton and Markov-chain Monte Carlo–based methods for inverting spectral induced-polarization data for Cole-Cole parameters

2008

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We develop a Bayesian model to invert spectral induced polarization (SIP) data for ColeCole parameters using Markov chain Monte Carlo (MCMC) sampling methods. We compare the performance of the MCMC based stochastic method with an iterative Gauss-Newton based deterministic method for Cole-Cole parameter estimation through inversion of synthetic and laboratory SIP data. The Gauss-Newton based method can provide an optimal solution for given objective functions under constraints, but the obtained optimal solution generally depends on the choice of initial values and the estimated uncertainty information is often inaccurate or insufficient. In contrast, the MCMC based inversion method provides extensive global information on unknown parameters, such as the marginal probability distribution functions, from which we can obtain better estimates and tighter uncertainty bounds of the parameters than with the deterministic method. Additionally, the results obtained with the MCMC method are independent of the choice of initial values. Because the MCMC based method does not explicitly offer single optimal solution for given objective functions, the deterministic and stochastic methods can complement each other. For example, the stochastic method can first be used to obtain the means of the unknown parameters by starting from an arbitrary set of initial values and the deterministic method can then be initiated using the means as starting values to obtain the optimal estimates of the Cole-Cole parameters.3

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Determining pore‐throat size in Permo‐Triassic sandstones from low‐frequency electrical spectroscopy

Cited by 117 publications

References 18 publications

Towards prediction of saturated-zone pollutant movement in groundwaters in fractured permeable-matrix aquifers: the case of the UK Permo-Triassic sandstones

Towards prediction of saturated-zone pollutant movement in groundwaters in fractured permeable-matrix aquifers: the case of the UK Permo-Triassic sandstones

Investigations of a Cretaceous limestone with spectral induced polarization and scanning electron microscopy

A comparison between Gauss-Newton and Markov-chain Monte Carlo–based methods for inverting spectral induced-polarization data for Cole-Cole parameters

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