Quantification of Detrital, Authigenic and Porosity Components of the Fontainebleau Sandstone: A Comparison of Conventional Optical and Combined Scanning Electron Microscope‐Based Methods of Modal Analyses

Cooper,; Evans, J.P.; Flint, SS; Hogg, Ajc; Hunter, Rachael C.

doi:10.1002/9781444304237.ch7

Cited by 11 publications

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“…Inherited quartz overgrowths, particularly those enclosed by subsequent euhedral overgrowths (Figure 5d), are easily overlooked and misinterpreted as in situ cement by optical microscope analysis alone unless dust rims are present (e.g. Austin, 1974; Basu et al., 2013; Burley et al., 1989; Cooper et al., 2000). Regardless of whether dust rims are present or not, SEM RGB (coloured) CL imaging can be used to differentiate multiple quartz overgrowths from each other (e.g.…”

Section: Discussionmentioning

confidence: 99%

Quartz overgrowth textures and fluid inclusion thermometry evidence for basin‐scale sedimentary recycling: An example from the Mesozoic Barents Sea Basin

et al. 2021

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Sedimentary recycling has the potential to obscure source-to-sink relationships, provenance interpretations, burial history reconstructions and robust reservoir quality predictions in siliciclastic sedimentary basins. Here, we integrate petrographic and cathodoluminescence microtextures with fluid inclusion thermometry in quartz overgrowths to identify sedimentary recycling and to constrain the potential provenance candidate for recycled grains in Lower Mesozoic sandstone of the western Barents Sea basin. Four diagenetic imprints were recognized as proof of sediment recycling: (a) microtextural surface properties of overgrowths, (b) the presence of overgrowths at sutured grain contacts, (c) reversed diagenetic sequences and (d) fluid inclusions within quartz overgrowths. The diagenetic imprints confirm delivery of recycled sediments across the western Barents Sea basin. Their widespread distribution across Highlights • Diagenetic imprints in quartz record basin infill history.• Quartz overgrowth textures and fluid inclusions shed insight on basin-scale sediment recycling.• Fluid inclusions in quartz can elucidate potential provenance candidates for recycled grains. How to cite this article: Haile BG, Line LH, Klausen TG, et al. Quartz overgrowth textures and fluid inclusion thermometry evidence for basin-scale sedimentary recycling: An example from the Mesozoic Barents Sea Basin.

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Section: Discussionmentioning

confidence: 99%

Quartz overgrowth textures and fluid inclusion thermometry evidence for basin‐scale sedimentary recycling: An example from the Mesozoic Barents Sea Basin

et al. 2021

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“…For the eight sandstones, total volumes of quartz, porosity, non-quartz minerals, and quartz cement were quantified using a combination of back-scattered electron (BSE) and cathodoluminescence (SEM-CL) microscopy using a Philips/FEI XL30 Environmental Scanning Electron Microscope-Field Emission Gun (XL30 ESEM-FEG). Image analysis was carried out according to methods described by Evans et al (1994) and Cooper et al (2000). The average grain size was determined by measuring the long axis of 100 randomly selected, non-ductile detrital grains.…”

Section: Methodsmentioning

confidence: 99%

Quartz Cementation History of Sandstones Revealed By High-Resolution Sims Oxygen Isotope Analysis

Harwood¹,

Aplin²,

Fialips³

et al. 2013

Journal of Sedimentary Research

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Evaluating the timing and origin of quartz cement is central to understanding how porosity is lost in sandstones during burial. Kinetic models of quartz cementation have been calibrated using large-scale datasets but have never been tested at the microscopic level at which cement forms. Here, we use high-precision, in situ oxygen isotope analyses on sandstone from the Jurassic Ness Formation from the North Sea to reveal the growth history of single quartz overgrowths to a resolution of 2 mm. Measured d 18 O (cement) range from +28 to +20% V-SMOW in early to late cement and are consistent with quartz cementation models that propose the bulk of quartz precipitates as a continuous process beginning at 60-70 uC. Quantitative Xray Diffraction analyses and clay mineralogical analysis of interbedded shales are inconsistent with a silica source from shale, implying that silica for the cement is sourced internally to the sand. These isotope data are broadly consistent with predictive, conceptual quartz cementation models and provide a critical link from micron-scale measurements to basin-scale predictions and observations.

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“…This is a comparatively fast process that utilizes easily available publicdomain image analysis software and equipment (e.g., electron microprobe or SEM) that is routinely available in modern research facilities. The study is chiefly concerned with the possibility of evaluating the effects of diagenesis on reservoir quality using digital image analysis (Bryant et al 1993;Cooper et al 2000;.…”

Section: Introductionmentioning

confidence: 99%

Simulations of the Effects of Diagenesis on the Evolution of Sandstone Porosity

Dillon

Worden

Barclay

2004

Journal of Sedimentary Research

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Automated image analysis and image processing techniques make possible the simulation of sandstone diagenesis and prediction of pore system modification. Diagenetic processes in real rocks are simulated using a combination of element X-ray maps and backscattered electron images.Processes can also be simulated for computer-generated sand packs by image analysis and image processing. Compaction is simulated by moving grain centers closer together; overgrowth-type cementation is simulated by dilation of free grain surfaces; mineral dissolution is simulated by selective removal of specific minerals identified by the combination of element X-ray maps and backscattered electron images. The original and modified images can be processed and analyzed to reveal all the parameters needed to predict permeability using a Kozeny-Carman type equation.The computer modeling and image analysis approach can also be used to determine the specific effects of various diagenetic processes on porosity. The results are encouragingly realistic by reference to the few available well-characterized empirical datasets.

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Quantification of Detrital, Authigenic and Porosity Components of the Fontainebleau Sandstone: A Comparison of Conventional Optical and Combined Scanning Electron Microscope‐Based Methods of Modal Analyses

Cited by 11 publications

References 0 publications

Quartz overgrowth textures and fluid inclusion thermometry evidence for basin‐scale sedimentary recycling: An example from the Mesozoic Barents Sea Basin

Quartz overgrowth textures and fluid inclusion thermometry evidence for basin‐scale sedimentary recycling: An example from the Mesozoic Barents Sea Basin

Quartz Cementation History of Sandstones Revealed By High-Resolution Sims Oxygen Isotope Analysis

Simulations of the Effects of Diagenesis on the Evolution of Sandstone Porosity

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