2019
DOI: 10.1111/bre.12415
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The 3D facies architecture and petrophysical properties of hyaloclastite delta deposits: An integrated photogrammetry and petrophysical study from southern Iceland

Abstract: Hyaloclastites develop where lava interacts with water resulting in deposits that have a unique and often complex range of petrophysical properties. A combination of eruptive style and emplacement environment dictates the size, geometry and distribution of different hyaloclastite facies and their associated primary physical properties such as porosity, permeability and velocity. To date, links between the 3D facies variability within these systems and their petrophysical properties remain poorly understood. Hj… Show more

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Cited by 14 publications
(9 citation statements)
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“…Based on the paleomagnetic data, in combination with the petrographic characteristics stated above, we suggest that the non-graded suevite unit was emplaced following processes similar to those of a primary hyaloclastite breccia deposit (Watton et al, 2013). Hyaloclastite deposits are normally known from submarine or subglacial volcanoes when magma interacts with water and are characterized by a poorly sorted, groundmass-supported unit enriched in quenched glassy fragments (Greenfield et al, 2020), which is the case for the non-graded suevite unit (Fig. 11).…”
Section: Non-graded Suevite Unit and Underlying Impact Melt Rockmentioning
confidence: 81%
“…Based on the paleomagnetic data, in combination with the petrographic characteristics stated above, we suggest that the non-graded suevite unit was emplaced following processes similar to those of a primary hyaloclastite breccia deposit (Watton et al, 2013). Hyaloclastite deposits are normally known from submarine or subglacial volcanoes when magma interacts with water and are characterized by a poorly sorted, groundmass-supported unit enriched in quenched glassy fragments (Greenfield et al, 2020), which is the case for the non-graded suevite unit (Fig. 11).…”
Section: Non-graded Suevite Unit and Underlying Impact Melt Rockmentioning
confidence: 81%
“…Non‐scientific drilling rarely recovers cores from altered volcanic rocks due to cost and technical difficulty, thus alteration mineralogy is derived from cuttings in coordination with wireline log data. Subsequently, quantifying alteration and its correlation with petrophysical properties has faced obstacles in similar studies (e.g., Broglia & Moos, 1988; Delius et al., 2003; Greenfield et al., 2020; Helm‐Clark et al., 2004; Jerram et al., 2019; Planke, 1994; Pola et al., 2014). Our study builds on recent studies that have begun establishing the quantitative correlations between petrophysical properties and alteration (e.g., Delayre et al., 2020; Lévy et al., 2018; Rossetti et al., 2019; Scott et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In the simplest case, the model can be populated with properties averaged from the borehole lithofacies summaries; however, with an abundance of regional analogue wells (e.g. Nelson et al., 2009; Andersen et al, 2009), expanding availability of relevant 3D outcrop analogue models (Famelli et al., 2021; Greenfield et al., 2020) and laboratory petrophysical data for relevant volcanic facies ranges (Angkasa et al., 2017; Bartetzko et al., 2005; Planke, 1994), the potential for advanced sensitivity modelling not only for different geological model scenarios but also for variable property ranges, is extensive.…”
Section: Discussionmentioning
confidence: 99%