44 documents found in 434ms
# 1
Pijnenburg, Ronald • Verberne, Berend • Hangx, Suzanne • Spiers, Christopher
Abstract: Pore pressure reduction in sandstone reservoirs generally leads to small elastic plus inelastic strains. These small strains (0.1 – 1.0% in total) may lead to surface subsidence and induced seismicity. In current geomechanical models, the inelastic component is usually neglected, though its contribution to stress-strain behaviour is poorly constrained. To help bridge this gap, we performed deviatoric and hydrostatic stress-cycling experiments on Slochteren sandstone samples from the seismogenic Groningen gas field in the Netherlands. We explored in-situ conditions of temperature (T = 100°C) and pore fluid chemistry, porosities of 13 to 26% and effective confining pressures (≤ 320 MPa) and differential stresses (≤ 135 MPa) covering and exceeding those relevant to producing fields. The findings of our work are outlined in the corresponding paper. The data presented here are the measured mechanical tabular data and microstructural data (stitched mosaic of backscatter electron images) provided as uncompressed jpg images. In addition, for one sample we include chemical element maps obtained through Electron Dispersive X-ray spectrometry (EDX).
# 2
Broerse, Taco • Norder, Ben • Picken, Stephen • Govers, Rob • Willingshofer, Ernst • (et. al.)
Abstract: This dataset provides strain and strain rate data on mixtures of plasticine, silicone oils and iron powder that has been used in slab break-of analogue experiments in the Tectonic Laboratory (TecLab) at Utrecht University (NL) as an analogue for viscously deforming lithosphere. The materials have been analyzed in a creep and recovery test, applying a parallel plate setup using an AR-G2 rheometer (by TA Instruments). The materials can in general be described as viscoelastic materials with a power-law rheology (see previous work on plasticine-silicone polymer mixtures Weijermars [1986], Sokoutis [1987], Boutelier et al. [2008]). For a couple of the tested materials we find a complementary Newtonian behavior at the low end of the tested stress levels, with a transition to power-law behavior at increasing stress. Furthermore, the materials exhibit elastic and anelastic (recoverable) deformation. The corresponding paper (Broerse et al., 2018) describes the rheology, while this supplement describes the raw data and important details of the measurement setup. The raw data concerns mostly (uncorrected) strain and strain rate data. The rheometry has been performed at the Advanced Soft Matter group at the Department of Chemical Engineering, Delft University of Technology, The Netherlands.
# 3
Caricchi, Chiara • Lucchi, Renata Giulia • Sagnotti, Leonardo • Macrì, Patrizia • Di Roberto, Alessio • (et. al.)
Abstract: This data publication includes the paleomagnetic and rock magnetic dataset from two Calypso giant piston cores collected at the crest of the Bellsund (GS191-01PC) and Isfjorden (GS191-02PC) sediment drifts during the Eurofleets-2 PREPARED cruise, on board the R/V G.O. Sars (Lucchi et al., 2014). These sediments drift are located on the eastern side of the Fram Strait (western Spitsbergen margin).The dataset gave the opportunity to define the behavior of past geomagnetic field at high latitude and to constrain the palaeoclimatic events that occurred in a time framework spanning Marine Isotope Stage (MIS) 3 to Holocene (Caricchi et al., in press). The data are provided as raw data in .dat format and interpreted data in .xlx and tab-delimited text formats. The raw data files can be opened using a text-editor, MS Excel or equivalent software. The interpreted data are presented as a metadata table with definitions of the column heads and 5 individual tables with the content: - Metadata: definition of columns heads - Rock Magnetic-Paleomag Data 01: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GS191-01PC - Rock Magnetic-Paleomag Data 02: down core variation of rock magnetic and paleomagnetic data [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°) Decl PCA (°)] for Core GS191-02PC - Cores Correlation: Depth of Core GS191-02PC and depth of Core GS191-02PC correlated to Core GS191-01PC, NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-02PC; Depth of Core GS191-01PC NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-01PC; tie points values. - Age Model 01: age model for Core GS191-01PC - Age Model 02: age model for Core GS191-01PC
Raw data were measured at the paleomagnetic laboratory of INGV and have been analysed by DAIE software (Sagnotti, 2013). The obtained along-core variation of rock magnetic and paleomagnetic trends have been integrated with the distribution of characteristic lithofacies and the 14C ages in order to define high-resolution correlation between the cores. Core to core correlation has been computed by means of StratFit software (Sagnotti and Caricchi, 2018). The correlation process is based on the Excel forecast function and linear regression between subsequent couples of selected tie-points. This process results in the estimate of the equivalent depth of the correlated curve (core GS191-02 PC) into the depth scale of the “master” curve (GS191-01PC). Using the same method and taking into account the constraints provided by the calibrated radiocarbon ages and the litostratigraphic information, PREPARED cores have been compared to RPI and inclination variations expected at the core sites according to global geomagnetic field models (SHA.DIF.14k of Pavón-Carrasco et al., 2014; GGF.110k of Panovska et al., 2018).
# 4
van Rijsingen, Elenora • Funiciello, Francesca • Corbi, Fabio • Lallemand, Serge
Abstract: This dataset contains digital image correlation (DIC) data of eight seismotectonic analogue experiments that were performed at the Laboratory of Experimental Tectonics (LET), Univ. Rome Tre, to investigate the effect of subduction interface roughness on the seismogenic behaviour of the megathrust. The study has been done in the framework of the Marie Sklodowska-Curie grant agreement 642029 – ITN CREEP. Together with DIC data we also provide analogue earthquake characteristics and Matlab scripts for visualization. Here we provide Digital Image Correlation data for eight experiments that last about 20 minutes (i.e., including tens of seismic cycles), of which four experiments include a smooth subduction interface and four a rough subduction interface. The DIC analysis provides a velocity field between two consecutive frames, measured at the surface of the model. Details about the nature and geometry of this interface, as well as the experimental procedure, model set-up and materials can be found in van Rijsingen et al. (2019), paragraph 2 and supporting information. A more detailed description of the data that we provide, the methods and the matlab scripts used for visualisation can be found in the data description file. An overview of the dataset can be found in the list of files.
# 5
Pijnenburg, Ronald • Verberne, Berend • Hangx, Suzanne • Spiers, Christopher
Abstract: Hydrocarbon or groundwater production from sandstone reservoirs can result in surface subsidence and induced seismicity. Subsidence results from combined elastic and inelastic compaction of the reservoir due to a change in the effective stress state upon fluid extraction. The magnitude of elastic compaction can be accurately described using poroelasticity theory. However inelastic or time-dependent compaction is poorly constrained. We use sandstones recovered by the field operator (NAM) from the Slochteren gas reservoir (Groningen, NE Netherlands) to study the importance of elastic versus inelastic deformation processes upon simulated pore pressure depletion. We conducted conventional triaxial tests under true in-situ conditions of pressure and temperature. To investigate the effect of applied differential stress (σ1 – σ3 = 0 - 50 MPa) and initial sample porosity (φi = 12 – 25%) on instantaneous and time-dependent inelastic deformation, we imposed multiple stages of axial loading and relaxation. The obtained data include:1) Mechanical data obtained in conventional triaxial compression experiments performed on reservoir sandstone. In these experiments, we imposed multiple stages of active loading, each followed by 24 hours of stress relaxation.2) Microstructural data obtained on undeformed and deformed samples.
# 6
Corbi, Fabio • Sandri, Laura • Bedford, Jonathan • Funiciello, Francesca • Brizzi, Silvia • (et. al.)
Abstract: This data set includes the results of digital image correlation of one experiment on subduction megathrust earthquakes with interacting asperities performed at the Laboratory of Experimental Tectonics (LET) Univ. Roma Tre in the framework of AspSync, the Marie Curie project (grant agreement 658034) lead by F. Corbi in 2016-2017. Detailed descriptions of the experiments and monitoring techniques can be found in Corbi et al. (2017 and 2019) to which this data set is supplementary material. We here provide Digital Image Correlation (DIC) data relative to a 7 min long interval during which the experiment 
produces 40 seismic cycles with average duration of about 10.5 s (see Figure S1 in Corbi et al., 2019). The DIC analysis yields quantitative about the velocity field characterizing two consecutive frames, measured in this case at the model surface. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Corbi et al. (2017) paragraph 2. This data set has been used for: a) studying the correlation between apparent slip-deficit maps and earthquake slip pattern (see Corbi et al., 2019; paragraph 4); and b) as input for the Machine Learning investigation (see Corbi et al., 2019; paragraph 5). Further technical information about the methods, data products and matlab scripts is proviced in the data description file. The list of files explains the file and folder structure of the data set.
# 7
Gaudin, Damien • Cimarelli, Corrado
Abstract: Series of experiments to assess the role of pressure, mass of particles, and grain size distribution in the generation of charges and discharges during shock-tube experiments. Experiments have been achieved between 2017 and 2018 in the facilities of Department of Earth and Environmental Sciences - LMU München.This dataset contains:- an excel spreadsheet summarizing the 63 experiments in the database with their main characteristics- a pdf file for each experiment, with the waveforms of the main instruments used in the experiment (Pressure sensors and Faraday cage) as well as ellaborated data (total amount of charges and discharges, discharge size distribution.
Description of the raw file for each experiment (in CSV format). After the header, the columns display respectively: (1) the time [s](2) the static pressure within the autoclave [MPa](3) the voltage across the Faraday cage [V] on a low-sensitivity channel of the datalogger(4) the voltage across the Faraday cage [V] on a high-sensitivity channel of the datalogger that might saturate in some cases(5) the voltage across the lower antenna [V] as described in Cimarelli et al., 2014 (for some experiments only, otherwise the signal remains close to 0)(6) the voltage across the upper antenna [V] as described in Cimarelli et al., 2014 (for some experiments only, otherwise the signal remains close to 0)(7) the dynamic pressure at the exit of the nozzle [MPa](8) the trigger signal generated by the datalogger [V]
# 8
Corbi, Fabio • Xu, Wenbin • Rivalta, Eleonora • Jonsson, Sigurjon
Abstract: This dataset is supplementary material to the article by Xu et al. (2016) ‘Graben formation and dike arrest during the 2009 Harrat Lunayyir dike intrusion in Saudi Arabia: Insights from InSAR, stress calculations and analog experiments’. The Authors described the spatial and temporal effects of a propagating dike on crustal deformation, including the interaction with faulting, using a multidisciplinary approach. This supplementary material concerns the analog modelling part only. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Xu et al. (2016; paragraph 5). The data available in this supplementary publication are: - A folder (2019-003_Corbi-et-al_Fig6.zip) containing: 1. top-view pictures (e.g. ‘lunayyr1_0025.JPG’) and displacement data obtained with MatPiv (e.g. ‘uun25.mat’ and ‘uvn25.mat’; dike parallel and orthogonal components; respectively) shown in figure 6 of Xu et al 2016. 2. a Matlab script (‘fig6_a_h.m’) that allows reproducing the same figure setup as in figure 6 panels a-h of Xu et al 2016. The thick red line highlights dike position. The background shading refers to dike orthogonal displacement. - A folder (2019-003_Corbi-et-al_PIV_data.zip) containing: 1. surface deformation data obtained with MatPiv. Each file (‘vel_fine_piv#.mat’) contains 4 elements (x, y, u, v) representing the coordinates and horizontal and vertical component of incremental velocity field organized in a 143 x 215 matrix; 2. the run_movie.m Matlab script. Running it the user can visualize the space-time evolution of cumulative surface displacement. The background shading refers to dike orthogonal component of displacement. The thick red line highlights dike position. - A folder (2019-003_Corbi-et-al_pictures.zip) containing the whole set of pictures from the experiment shown in Xu et al., 2016. - A movie (2019-003_Corbi-et-al_graben formation.mp4) obtained using the whole set of pictures (96 photos). The thick red line highlights dike position. The amount of dike opening is reported as header. - A movie (2019-003_Corbi-et-al_cum_displacement.mp4) showing the space-time evolution of cumulative surface displacement, where the background shading refers to dike orthogonal component of displacement. The thick red line highlights dike position.
# 9
Reinhardt-Imjela, Christian • Schulte, Achim
Abstract: The dataset contains an urban weather record from the hydro-meteorological monitoring station of the Institute of Geographical Sciences at the Freie Universitaet Berlin (working group Applied Geography, Environmental Hydrology and Resource Management; Geo Campus Lankwitz, Malteserstraße 74-100, 12249 Berlin). The station is located at an elevation of 45 m a.s.l. and consists of a 7.5 x 7.5 m wide fenced measuring field covered by short grass which is cut in weekly intervals (spring to fall) to ensure reference evaporation conditions. The field is equipped with a range of redundant devices that record weather information. In this summary we focus on a description of the devices from which data were included in the published dataset. A actual list of all devices is available at the Website of the Hydrometeorological monitoring station "Berlin-Lankwitz, FU Geo Campus" (https://www.geo.fu-berlin.de/en/geog/fachrichtungen/angeog/Messfeld-auf-dem-Campus/index.html). The dataset contains rainfall, air temperature, humidity, dew point temperature, air pressure, solar radiation as well as wind speed and direction, each measured in intervals of 15 min. It starts in January 2017 and is updated annually. Rainfall is collected with a Davis VantagePro tipping bucket which is part of the ISS (Integrated Sensor Suite, DAV-6323EU, manufactured before 2007) and mounted 2 m above ground. The collector diameter is 16.3 cm resulting in a collecting area of 210 cm². The measuring resolution of the tipping bucket is 0.25 mm (0.01 inch). During winter the DAVIS rain gauge is heated using the DAV-7720EU heating system. The begin of the heating period in each year is determined by the air temperature and starts before the daily minimum drops below 0°C. In addition a stainless steel Hellmann gauge with standard diameter of 16 cm (area: 200 m²) is installed on the monitoring field 1 m above ground. Rain water is collected in a steel can, which is emptied manually every morning from Monday to Friday using a DIN58667 measuring glass. Between December and February accumulated snow and ice is thawed. Paired data from the Hellman and DAVIS collector to assess accuracy are published separately (Reinhardt-Imjela et al. 2018). Temperature (°C), humidity (%) and air pressure (hPa) are measured 2 m above ground with the DAVIS ISS and the dew point is generated automatically from the data. Temperature includes mean, minimum and maximum of each 15 minute interval. Wind speed and direction are recorded by a Vaisale Weather Transmitter WXT520 2 m above ground. For solar radiation (W/m²) a Kipp & Zonen CMP3 Pyranometer is mounted also 2 m above ground. The data are provided as a tab-separated ASCII file with column names in the first line. The first column contains the date and time (date format: DD/MM/YYYY hh:mm). In the following columns all measured parameters are listed (units are included in the column name). Measuring errors or missing values are marked with “N/A”. Empty fields for the wind direction indicate intervals without measurable wind speed.
# 10
Kaplan, Nils Hinrich • Sohrt, Ernestine • Blume, Theresa • Weiler, Markus
Abstract: We used different sensing techniques including time-lapse imagery, electric conductivity and stage measurements to generate a combined dataset of presence and absence of streamflow within a large number of nested sub-catchments in the Attert Catchment, Luxembourg. The first sites of observation were established in 2013 and successively extended to a total number of 182 in 2016 as part of the project “Catchments As Organized Systems” (CAOS, Zehe et al., 2014). Setup for time-lapse imagery measurements was inspired by Gilmore et al. (2013) while the setup for EC-sensor was proposed by Chapin et al. (2014). Temporal resolution ranged from 5 to 15 minutes intervals. Each single dataset was carefully processed and quality controlled before the time interval was homogenized to 30 minutes. The dataset provides valuable information of the dynamics of a meso-scale stream network in space and time. The Attert basin is located in the border region of Luxembourg and Belgium and covers an area of 247 km². The elevation of the catchment ranges from 245 m a.s.l. in Useldange to 549 m a.s.l. in the Ardennes. Climate conditions across the catchment are rather similar in terms of temperature and precipitation. Hydrological regimes are mainly driven by seasonal fluctuations in evapotranspiration causing flow to cease in intermittent reaches during dry periods. The catchment covers three predominant geologies: Slate, Marls and Sandstone. The dataset features data from catchments covering all geological characteristics from single geology to mixed geology. It can be used to test and evaluate hydrologic models, but also for the assessment of the intermittent stream ecosystem in the Attert basin.
Time-lapse Imagery:Dörr Snapshot Mini 5.0 consumer wildlife cameras were used for time-lapse imagery. Time lapse monitoring was realized with the internal software with a temporal resolution of 15 minutes. Cameras were mounted at trees or structures close to the channel. For improved image analysis a gauging plate was installed in the channel. EC-sensors:Onset HOBO Pendant waterproof temperature and light data logger (Model UA-002-64, Onset Computer Corp, Bourne, MA, USA) with modified light sensor to measure electric conductivity were used to monitor electric conductivity (EC). EC values were classified into no-flow situations for EC-values below 25microSi/cm and flow situation for EC-values above 25microSi/cm. Conventional Gauges:Conventional Gauges are divided into two subdatasets. Data from ID values CG1 to CG11 were derived from water level data measured by METER/Decagon CTD pressure transducers in stilling wells. Data from ID values CG 12 to CG 18 were derived from discharge values measured by the Luxembourg Institute of Science and Technology (LIST). TECHNICAL DETAILS OF MEASUREMENT SETUP Time-lapse imagery equipment used:- Dörr Snapshot Mini 5.0- Mounting gear- Cable lock- Wire Lock for SD-security- SD-card 16 GB- Battery pack "Hückmann Fiamm Lead-accumulator FG 10451" EC-measurements:- Onset HOBO Pendant waterproof temperature and light data logger (Model UA-002-64, Onset Computer Corp, Bourne, MA, USA) with modified light sensor to measure electric conductivity- Aluminum housing for shading- Bolts Water level measurements:- METER/Decagon CTD pressure transducers- stilling wells
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