The data set comprises petrophysical laboratory data for four carbonate rocks and one sandstone – both in solid rock and crushed state. Rock plugs and particle packings of intentionally crushed and sieved material are investigated. Thereby, eight particle size classes with a mean diameter between 0.032 and 9.66 mm are investigated. The data set includes complex electrical conductivity (from Spectral Induced Polarization – SIP), specific surface (from nitrogen adsorption) and porosity (from mercury intrusion MIP). Further analyses include e.g. particle geometry, Nuclear Magnetic Resonance (NMR), Scanning Electron Microscopy (SEM), Computer Tomography (μCT), uniaxial compression strength and mineralogical composition (chemical analysis, XRD).
This data set includes broadband (1e-4 to 1e5 Hz) frequency-dependent, complex electrical conductivity data, which have been measured in the laboratory by means of the spectral induced polarization (SIP) method on 28 oriented black shale and mudstone samples. Porosity, density and plug images are provided as accompanying information. The rock material originates from the Moffat Shale Group sampled from two shallow boreholes in Monaghan County, Ireland. Among the plug samples, 9 oriented pairs are used to derive anisotropy information of the frequency-dependent, complex electrical conductivity. The data have been processed by means of a Debye decomposition approach. The anisotropy is then determined by utilizing the foliation dip angle assuming tilted transverse isotropic conditions.
AnyPetro is a Matlab-based, GUI-controlled software for adjusting the parameters of arbitrary and non-linear petrophysical models to laboratory data. A Gauss-Newton scheme is applied for the minimization of a damped least-squares objective function. Thereby the Jacobian matrix is calculated explicitely with the perturbation method. Data weighting, model parameter transformations and different regularizations are provided. The petrophysical model resp. the forward operator is introduced by the user in the form of a short text file. Example data files and forward operators as well as Matlab App and standalone installers are provided. The software tool has been developed for and successfully applied to the fitting of various petrophysical data sets (e.g. porosity, specific surface, electrical conductivity, spectral induced polarization) from fluid, unconsolidated, solid and crushed samples to non-linear, multi-parameter models (e.g. electrical CO2-water interaction, Debye Decomposition, crushed rock conductivity).
This dataset contains supplementary materials to the manuscripts “Interpreting inverse magnetic fabric in Miocene dikes from Eastern Iceland” by Trippanera et al., (submitted to JGR) and “Anatomy of an extinct magmatic system along a divergent plate boundary: Alftafjordur, Iceland” by Urbani et al. 2015. These works present an extensive multi-scale and multi-disciplinary study focused on the magnetic fabric of dikes belonging to the Alftafjordur volcanic system in Eastern Iceland. Eastern Iceland is one of the most suitable places to analyze the roots of the volcanic systems that are composed of central volcanoes and fissure swarms. We sampled 19 NNE-SSW oriented dikes (for a total of 383 samples) belonging to the exhumed fissure swarm portion of Alftafjordur volcanic system, aiming at understanding the direction of magma propagation in the swarm by using Anisotropy of Magnetic Susceptibility (AMS) analysis. However, most of the samples (80% out of the measured cores) show an inverse geometric magnetic fabric (kmax is perpendicular to the dike margins and sub-horizontal)- therefore the study of the flow direction is complicated. Nevertheless, this result poses the problem of why the geometrically inverse fabric is present and widespread in the whole dike swarm. In order to understand the origin of this inverse fabric, besides standard AMS measurements, we also performed additional analysis such as different field and temperature AMS, Anisotropy of Anhystheretic Remanent Magnetization (AARM), Hysteresis loops and First-order reversal curves (FORC), Scanning Electron Microscope (SEM) and Optic microscope images analysis.
This dataset includes the following materials: • Location of the sampled sites (.kml) • AMS measurements at room temperature by using H=300 A/m for all samples (.ran) • AMS measurements at room temperature by using H=200 A/m and H=600 A/m for selected samples (.ran) • AMS measurements at different temperature (from 20 to 580 ℃) for selected samples (.ran) • AARM measurements for selected samples (.ran) • DayPlots data for selected samples (.xls or .csv) • SEM and Optical microscope images of thin sections of selected samples.
AMS and AARM data can be opened through Anisoft open-source software provided by Agico (Chadima and Jelinek, 2009; https://www.agico.com/text/software/anisoft/anisoft.php). Data have been acquired at: Roma Tre University (Rome, Italy), Istuto di Geofisica e Vulcanologia (INGV, Rome, Italy) and Laboratoire des Sciences du Climat et de l'Environnement, CEA, CNRS, UVSQ (Gif-sur-Yvette Cedex, France).
For the interpretation of the data refer to Urbani et al., 2015 and Trippanera et al., (submitted). The description of each dataset is provided in the description file.