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111 results for “geothermal”
Dataset of structural measurements at Le Biancane (geothermal field of Larderello-Travale, Tuscany, Italy) in the May-June 2021 period.
<p>The dataset contains measurements of fractures and bedding at Le Biancane (geothermal field of Larderello-Travale, Tuscany, Italy) in the period May-June 2021. The term fractures in this dataset indicate a break in a rock where the orthogonal opening is predominant; when clear lateral displacement by shearing is observed, then we adopt the term fault accordingly to the definition by National Research Council (1996). The topological analysis has been conducted using the methods described by Sanderson and Nixon (2015; 2018). This dataset consists of two text files described below.</p> <p><strong>structural-dataset.txt:</strong></p> <p>this file contains the measured fractures and bedding planes, it is structured as follow:</p> <p>Column A is the Longitude of the point, datum WGS 1984;</p> <p>Column B is the Latitude of the point, datum WGS 1984;</p> <p>Column C is the dip direction of the measured structure;</p> <p>Column D is the dip of the measured structure;</p> <p>Column E is the type of the measured structure (fracture, fault, bedding)</p> <p> </p> <p><strong>topological-analysis.txt:</strong></p> <p>this file contains the measurement done for the topological analysis on nine sites at Le Biancane area, it is structured as follow:</p> <p>Column A is the code of the site;</p> <p>Column B is the Longitude of the point, datum WGS 1984;</p> <p>Column C is the Latitude of the point, datum WGS 1984;</p> <p>Column D is the number of nodes I (NI);</p> <p>Column E is the number of nodes Y (NY);</p> <p>Column F is the number of nodes X (NX);</p> <p>Column G is the percent of nodes I (%NI);</p> <p>Column H is the percent of nodes Y (%NY);</p> <p>Column I is the percent of nodes X (%NX);</p> <p>Column J is the probability of connection of nodes I-I (PII’);</p> <p>Column K is the probability of connection of nodes I-C (PIC’);</p> <p>Column L is the probability of connection of nodes C-C (PCC’);</p> <p>Column M is the radius in meter (r) of the circle used for the topological analysis;</p> <p>Column N is the value of the parameter CL;</p> <p>Column O is the value of the parameter CB;</p> <p>Column P is the area (m^2) of the circle;</p> <p>Column Q is the fracture intensity;</p> <p> </p> <p> </p> <p> </p>
Data Set for "Alteration's control on frictional behavior and the depth of the ductile shear zone in geothermal reservoirs in volcanic arcs" II: Cascade Volcanic Arc
<p>Data set for the 48 friction experiments performed for gouge samples (altered andesitic rocks) from the Cascades used in the manuscript, "Alteration's control on frictional behavior and the depth of the ductile shear zone in geothermal reservoirs in volcanic arcs". This data set can be used in combination with the data set for the Lesser Antilles used in the same manuscript (doi:10.5281/zenodo.10912445). This large combined data set (of 108 frictional experiments) represents a unique opportunity to systematically study frictional behaviour in the framework of rate and state. All samples are tested in wet and dry conditions at 10, 30, and 50 MPa with velocity steps and slide-hold-slides. These two data sets have the further advantage of being performed with exactly the same protocol (same run in, same initial gouge thickness, same velocity steps, same hold periods), in the same machine, by the same operator (or by an operator who was trained and supervised by the original operator). </p>
"A geothermal application for GOCE..." accompanying data set
<p>Accompanying data to the paper</p> <blockquote> <p>Pastorutti, A., & Braitenberg, C., 2019. <strong>A geothermal application for GOCE satellite gravity data: modelling the crustal heat production and lithospheric temperature field in Central Europe</strong>, Geophysical Journal International, <a href="https://doi.org/10.1093/gji/ggz344">doi:10.1093/gji/ggz344</a></p> </blockquote> <p>which has been accepted for publication in <em>Geophysical Journal International</em> following peer review.</p> <p><strong>The paper version of record is available online at: <a href="https://doi.org/10.1093/gji/ggz344">doi.org/10.1093/gji/ggz344</a>.</strong></p>
Figure 5 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 5. Odonata specimens from geothermal habitats of the Kunashir Island [RMBH]. (A) Mnais costalis, male, 29.vii.2011. (B) M. costalis, male, 29.vii.2011. (C) Anotogaster sieboldii, male, 26.vii.2011. (D) A. sieboldii, female, 24.vii.2011. (E) Orthetrum melania, male, 29.vii.2011. (F) O. melania, female, 29.vii.2011. (G) Sympetrum pedemontanum elatum, male, 26.vii.2011. (H) S. pedemontanum elatum, female, 24.vii.2011. Corresponding labels are presented below each specimen. (Photos: Yu. S. Kolosova).
Figure 4 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 4. Habitats, exuvium, and larva of Odonata in geothermal areas of the Kamchatka Peninsula. (A) Warm pool near the Karymshinsky hot springs, 12 June 2013. (B) Exuvium of Libellula quadrimaculata on the shore of this pool. (C) Lakelet Medvezhie in the Valley of Geysers, 13 August 2014. (D) Larva of Aeshna juncea collected from this lakelet. Scale bar = 2 mm. (Photos: O. V. Aksenova).
Figure 2. Hot spring habitats and a in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 2. Hot spring habitats and a live dragonfly on the Kunashir Island. (A) Neskuchensky hot springs, a habitat of Sympetrum pedemontanum elatum, Anotogaster sieboldii, and Orthetrum melania, 26 July 2011. (B) Stolbovsky hot springs, a habitat of Mnais costalis, Anotogaster sieboldii, and Orthetrum melania, 29 July 2011. (C) Male of Orthetrum melania near the Neskuchensky hot springs, 26 July 2011. (Photos: Yu. S. Kolosova [A, C] and O. V. Aksenova [B]).
Figure 1 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 1. Map of sampling localities of Odonata in eastern Russia: Stolbovsky hot springs (1); Neskuchensky hot springs (2); Karymshinsky hot springs (3); and the Valley of Geysers (4).
Figure 3 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 3. Microhabitats in the Neskuchensky hot springs, Kunashir Island, and Odonata larvae collected from this geothermal source. (A) Scheme of microhabitats within the geothermal system with water and ground temperature measurements during the period of 24-26 July 2011 (before heavy monsoon rainfalls). The black symbols indicate collecting sites of Anotogaster sieboldii (circles) and Sympetrum pedemontanum elatum (squares) larvae. The color arrows indicate the oviposion sites of A. sieboldii before (green) and after (red) heavy monsoon rainfalls. (B) Larvae of Anotogaster sieboldii, 26 July 2011. Scale bar = 2 mm. (C) Larvae of Sympetrum pedemontanum elatum, 26 July 2011. Scale bar = 2 mm. (Photos: O. V. Aksenova).
Mechanical data in support of "Permeability Partitioning through the Brittle-to-Ductile Transition and its Implications for Supercritical Geothermal Reservoirs"
<p>This folder contains 4 files with the nechanicakl data produced during the study titled "Mechanical data in support of "Permeability Partitioning through the Brittle-to-Ductile Transition and its Implications for Supercritical Geothermal Reservoirs". Each file correspond to an experiment ran at a different temperature:</p> <p>LG200C.txt: Lanhelin Granite, T = 200C, strain rate 10-6, Initial length = 42.32 mm</p> <p>LG400C.txt: Lanhelin Granite, T = 400C, strain rate 10-6, Initial length = 41.68 mm</p> <p>LG600C.txt: Lanhelin Granite, T = 600C, strain rate 10-6, Initial length = 41.78 mm</p> <p>LG800C.txt: Lanhelin Granite, T = 800C, strain rate 10-6, Initial length = 41.77 mm</p> <p>All data files contain the following columns: time (s), confining pressure (bar), displacement (mm), vertical load (kN), temperature (C), upstream pore pressure (bar), downstream porepressure (bar).</p> <p> </p>
Deep Geothermal Production Volume Flux Zones Bavaria
<p>The dataset provides production volume flux values for zones in the Upper Jurassic deep geothermal reservoir of the Bavarian Molasse Basin regarding different probabilitities. The Data is cross-checked with the available data of the existing hydrothermal plants of the Molasse Basin and therefore considered as valid information but have uncertainties in areas with less drilling information. Further explanation in Zosseder, K., Pfrang, D., Schölderle, F., Bohnsack, D., Konrad, F. (2022): Characterisation of the upper Jurassic geothermal reservoir in the South German Molasse Basin as basis for a potential assessment to foster the geothermal installation development – Results from the joint research project Geothermal Alliance Bavaria. Geomechanics and Tunnelling 15, No. 1, pp. 17–24. https://doi.org/10.1002/geot.202100087. The data is derived in the framework of the Geothermal Alliance of Bavaria (GAB). </p>
Thermophilic methane oxidation is widespread in New Zealand geothermal fields
<p>This is processed data used for analysis in a manuscipt currently being prepared for publication.<br> Samples of soil or sediment were taken from geothermal fields in the Taupo Volcanic Zone, New Zealand;<br> methane oxidation was quantified; DNA was extracted from each sample for 16S rRNA gene sequencing.</p> <p> </p>
Dataset supporting publication: "Geofit: Experimental Investigations and Numerical Validation of Shallow Spiral Collectors as a Basis for Development of a Design Tool for Geothermal Retrofitting of Existing Buildings"
<p>Dataset supporting publication: “Geofit: Experimental Investigations and Numerical Validation of Shallow Spiral Collectors as a Basis for Development of a Design Tool for Geothermal Retrofitting of Existing Buildings” (publication available in <a href="https://zenodo.org/record/7273966#.Y2JgBnbMJPY">GEOFIT Zenodo</a>)</p> <p>The H2020 GEOFIT (grant no. 792210) project will implement and demonstrate easy-to-install and economical geothermal systems in combination with heat pumps for energy-efficient building retrofits at five pilot sites across Europe - a historic building (ITA), a school (ESP), an indoor swimming pool (IRL), an office building (FRA) and a single-family house (IRL) (GEOFIT,2018). Heat pump tests and experimental laboratory tests with shallow geothermal heat collector types are carried out in climate chambers at the AIT. Material data of different soil types are determined in the thermophysics laboratory. Furthermore, CFD simulations of the conducted experiments are calculated with ANSYS Fluent. All this provides data and know-how for the development of a design tool for ground collector configurations such as helices and slinky loops, which are particularly relevant for building retrofits in GEOFIT. Experimental work focused on near-surface spiral geothermal heat exchanger configurations that can be installed at a maximum depth of five metres. Real-scale experiments were carried out for vertically oriented spiral collectors (helix) in real soil. One objective was to develop a measurement concept in the laboratory environment to create the framework for a reliable database. This database is used as a basis for the further development or new development of engineering design tools. Distributed resistance temperature sensors and a fibre-optic temperature measurement system (DTS) were used. The moisture content of the soil was recorded using soil moisture sensors. A heat flow was conditioned by means of a helix shaped electric heating cable in a 1m³ cuboid soil container. The measurements were carried out in a climate chamber at a defined constant temperature of 10 °C. The evaluation of the transient response behaviour is spatially resolved. This results in coordinate-related temperature points, which describe temperature gradients in all axes of the container over time. Three different types of soil were investigated. The temperature behaviour of humus soil, sand and a mixture of these was investigated experimentally in smaller experiments and the material data such as heat capacity, thermal conductivity and density were determined thermophysically in the laboratory. Based on this data, a CFD model was developed which can be used to modify the geometry parameters of the helix.</p>
Data Set: Single-well pore pressure preconditioning for Enhanced Geothermal System stimulation
<p>This is the Python code and plotted figure data used to create the figures for the submitted manuscript, "Single-well pore pressure preconditioning for Enhanced Geothermal System stimulation" submitted to JGR: Solid Earth in 2022.</p> <p>The manuscript concerns a novel technique developed for EGS stimulation, called pore pressure or effective normal stress preconditioning, which preemptively alters the stress field along a fault prior to injection, such that the risk of induced seismicity is reduced. Using a slightly altered version of a preexisting model (a combination of an analytical pore pressure model and a linear slip weakening seismicity model) the effect of this kind of treatment is evaluated.</p>
3D structural and probabilistic modeling of geothermal reservoir horizons in the Northern Eifel and its foreland
<p>This repository contains the supplementary data to the submitted publication titled "3D structural and probabilistic modeling of geothermal reservoir horizons in the Northern Eifel and its foreland" which was submitted to the Journal "Geothermal Energy" (https://geothermal-energy-journal.springeropen.com/). </p>
Preserving the National Geothermal Data System's Geothermal Features and Observations Dataset (AASG-GDS)
<p>The National Geothermal Data System (NGDS) is a distributed, interoperable network of data collected from state geological surveys across all fifty states and the nation’s leading academic geothermal centers (<a href="https://data.geothermaldata.org">https://data.geothermaldata.org</a>). The system houses a variety of geoscientific data ranging from text reports, geologic maps, photo imagery, well logs, chemical and mineral assays, and various other research products. Its flagship data product was a collection of structured tables describing geologic wells, other geologic sampling features, and associated observations (e.g., heat flow, aqueous chemistry). These data tables remain the most heavily requested NGDS product, but institutional, financial, and technical instability among NGDS and its partnered data contributors has made access to this dataset erratic in recent years. In response, the Arizona Geological Survey (AZGS) and the U.S. Geosciences Information Network (USGIN) partnered to repackage and republish these datasets in trusted scientific archives under the codename AASG-GDS. </p> <p>An ArcGIS Online web map version of the ESRI File Geodatabase included in this packet can be viewed at https://uagis.maps.arcgis.com/home/item.html?id=7b39964a182d4abdaccc2b064e47721b.</p>
Dataset for "Seismic signatures of partial steam saturation in fractured geothermal reservoirs: Insights from poroelasticity"
<p>Dataset for "Seismic signatures of partial steam saturation in fractured geothermal reservoirs: Insights from poroelasticity". This dataset allows to reproduce the figures of the manuscript. Cite: Quiroga, G. E., Rubino, J. G., Solazzi, S. G., Barbosa, N. D., Favino, M., & Holliger, K. (2023). Seismic signatures of partial steam saturation in fractured geothermal reservoirs: Insights from poroelasticity. <em>Geophysics</em>, <em>88</em>(5), WB89-WB104.</p> <p> </p>
Data from: Small-scale genetic differentiation in mean flowering time, but not in plasticity, along a geothermal heating gradient
Open the record for dataset details and reuse information.
A 3D resistivity model of the Acoculco high temperature geothermal system, Mexico
<p>The dataset is the final three-dimensional resistivity model of the high temperature geothermal field Acoculco, in Mexico.</p> <p>The model is described in deliverable 5.2 of the GEMex Project, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund<br> CONACYT-SENER, Project 2015-04-268074.</p>
Geochemical data for fluids collected in Acoculco Geothermal Field
<p>The dataset <strong>CO<sub>2</sub>_flux_measurements_Acoculco </strong>contains data on CO<sub>2</sub> fluxes, coordinates (UTM), air temperature, atmospheric pressure measured in selected sites belonging to the Acoculco Geothermal Field: in particular, the areas named Lagunilla, Alcaparrosa, Los Azufres and also the area between them were investigated. CO<sub>2</sub> flux measurements were performed using the accumulation chamber method.</p> <p>The dataset <strong>Field_meas_Acoculco_waters</strong> reports the ID, coordinates (UTM), Altitude (m.a.s.l.), temperature, flow rate, pH, Electrical Conductivity and Dissolved Oxygen for water samples collected in the central sector of the Acoculco geothermal field, but also in other sectors located inside and outside the Acoculco caldera. Total depth is also included for samples collected from water wells.</p> <p>The dataset <strong>Chemical_isotopic_data_Acoculco_waters</strong> reports major and minor chemical components and stable isotopic composition for hydrogen and oxygen determined in collected water samples in Acoculco geothermal field. Calculated partial pressures (in bars and log<sub>10</sub>-value) and CO<sub>2</sub> concentrations of dissolved CO<sub>2</sub> were also included.</p> <p>The dataset <strong>Chemical_isotopic_data_Acoculco_gas </strong>reports chemical and isotopic data for collected samples from Los Azufres and Alcaparrosa natural gas manifestations.</p>
The Mesozoic terrane boundary beneath the Taupo Volcanic Zone, New Zealand, and potential controls on geothermal system characteristics
<p>Full U-Pb detrital zircon age data collected on SHRIMP-RG at Australia National University and LA-ICP-MS at Otago University for manuscript 'The Mesozoic terrane boundary beneath the Taupo Volcanic Zone, New Zealand, and potential controls on geothermal system characteristics'.</p>
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