Data Publication

3D textural characterization of rocks representing S. Miguel Island (Azores, Portugal)

Pereira, Maria Luísa | Buono, Gianmarco | Pappalardo, Lucia

GFZ Data Services

(2026)

Descriptions

The role of the physical and microstructural properties of lavas impacts the dynamics of magma ascent and of the volcanic edifice itself. In the context of a doctoral project, ten samples representative of the central volcanoes of S. Miguel Island (Azores, Portugal), priorily collected in available outcrops in the island, were microstructurally assessed for the first time in the INGV-OV (Naples). Imaging was processed by the ZEISS Xradia Versa 410 X-ray computed microtomography. This tool enables accurate and complete textural characterization of rocks by providing 3D images of the samples. Posteriorly, the rocks were analysed with a dedicated image analysis software to resolve the internal microstructure of the samples. determining several key properties (porosity, permeability, fracturation, and crystal content) that are of major relevance for a posterior physical and mechanical assessment. This publication results from work conducted under the transnational access/national open access action at magLab, INGV-OV (Naples, Italy) supported by WP3 ILGE - MEET project, PNRR - EU Next Generation Europe program, MUR grant number D53C22001400005.

X-ray computed microtomography (X-μCT) : ZEISS Xradia Versa 410 (INGV-OV) This micro-CT scan is equipped with a microfocus X-ray source capable of energies from 40 to 150 kV and detectors with magnifications ranging from 0.4X to 20X (resolution down to 0.9 μm). Subsequent image analysis using the PerGeos Software for mineral and void space segmentation, as well as greyscale image optimization. Pore Network Models and permeability simulations were also performed on this software using dedicated modules.

X-ray imaging was performed in absorption mode acquiring 1601 2D radiographs (projections) over a 360° rotation with 100 to 120 kV voltage, 10 W power, variable exposure time (0.7 to 1.2 s). Appropriate source filters were used to minimise beam hardening. An optical magnification of 0.4× was used, resulting in a nominal voxel size between 14.68 μ mand15.37 μm. The acquired projections were then reconstructed through a filtered back-projection algorithm using XRMReconstructor software by ZEISS, providing 3D greyscale images of the internal microstructure of the samples, proportional to the X-ray attenuation coefficient of the rock phases, which is a function of their density and composition. Unconfined compressive strength (UCS) experiments combined with μCT imaging were performed on four representative cylinder specimens (i.e., BAf14, BF3, BF13, and T31 samples) with a ~ 7.5 mm diameter and a length-diameter ratio of approximately 1.9. The test was conducted using a loading rate of 0.03 mm/min and a Deben in-situ load cell stage (CT5000H250), with a maximum load capacity of 5210 N, incorporated into the Zeiss equipment of the INGV-OV. Pre and post-test 3D scans were obtained, and Young’s modulus (or elastic modulus; E) was calculated based on stress-strain curves derived from the plate displacement. X-ray imaging of the cylinders was per formed collecting 801 projections over a total angular scan of 180◦ (plus fan angle) with a scan time between 2.75 and 3.5 s per projection at 120 kV and 10 W and using an optical magnification of 0.4× to obtain 3D images with a voxel size of 15μm

Keywords

MSL enriched keywords
igneous rock - intrusive
magma
Measured property
porosity
permeability
Measured property
porosity
Apparatus
X-ray tomography
mechanical strength
unconfined compressive strength (UCS)
strain
elasticity
strain
Originally assigned keywords
EPOS
multi-scale laboratories
rock and melt physical properties
digital rock physics
X-ray microtomography
lava rocks
Azores
compound material > rock
Science Keywords > EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > TECTONIC LANDFORMS > VOLCANO
Science Keywords > EARTH SCIENCE > SOLID EARTH > TECTONICS > VOLCANIC ACTIVITY > ERUPTION DYNAMICS > LAVA COMPOSITION/TEXTURE

Metadata


MSL enriched sub domains

rock and melt physics
analogue modelling of geologic processes
microscopy and tomography

Resource Type

Dataset


Source


Source publisher

GFZ Data Services

DOI

10.5880/fidgeo.2026.039

Creators

Pereira, Maria Luísa
Personal
https://orcid.org/0000-0002-7118-1262
Instituto de Investigação em Vulcanologia e Avaliação de Riscos, Ponta Delgada, Portugal
Buono, Gianmarco
Personal
https://orcid.org/0000-0002-5474-1985
INGV Osservatorio Vesuviano, Naples, Italy
Pappalardo, Lucia
Personal
https://orcid.org/0000-0002-3598-587X
INGV Osservatorio Vesuviano, Naples, Italy

Contributors

Pereira, Maria Luísa
Personal
https://orcid.org/0000-0002-7118-1262
Instituto de Investigação em Vulcanologia e Avaliação de Riscos, Ponta Delgada, Portugal
Buono, Gianmarco
Personal
https://orcid.org/0000-0002-5474-1985
INGV Osservatorio Vesuviano, Naples, Italy
Pappalardo, Lucia
Personal
https://orcid.org/0000-0002-3598-587X
INGV Osservatorio Vesuviano, Naples, Italy
magLab – INGV-OV, Naples, Italy
Personal
INGV Osservatorio Vesuviano, Naples, Italy
ILGE TNA/NOA
MEET Project (Monitoring Earth's Evolution and Tectonics)
Pereira, Maria Luísa
Personal
Instituto de Investigação em Vulcanologia e Avaliação de Riscos, Ponta Delgada, Portugal
Buono, Gianmarco
Personal
INGV Osservatorio Vesuviano, Naples, Italy
Pappalardo, Lucia
Personal
INGV Osservatorio Vesuviano, Naples, Italy

Citation

Pereira, M. L., Buono, G., & Pappalardo, L. (2026). 3D textural characterization of rocks representing S. Miguel Island (Azores, Portugal) [Dataset]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2026.039


References

URL
References
URL
References

Dates

Created 2023-03-21
Issued 2026

Language

- no language entry found -


Funding References

Funder Name European Union’s Horizon 2020 research and innovation programme
Award Number 101005611
Award Title Transnational Access conducted at IstitutoNazionalediGeofisicaeVulcanologia Osservatorio Vesuviano (INGV-OV) within the EXCITE project
Funder Name European Commission
Funder Identifier https://doi.org/10.13039/501100000780
Award Title MEET
Funder Name Ministero dell'Università e della Ricerca
Funder Identifier https://doi.org/10.13039/501100021856
Award Number D53C22001400005
Award Title MEET

Rights

Name Creative Commons Attribution 4.0 International
URI https://creativecommons.org/licenses/by/4.0/legalcode
Identifier cc-by-4.0
Identifier Scheme SPDX
Scheme URI https://spdx.org/licenses/

Locations


Geo location(s)

The samples were collected on S. Miguel Island. The analysis was carried out in the INGV-OV (Italy). The dates required for the analysis are provided. Sample names: BP37, BP38, BAf14, BAf18. BAf16, BF3, BF13, BF15, T29, T31, T32


Spatial coordinates