Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-571-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-571-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
23 Feb 2021
Data description paper |
| 23 Feb 2021
| 23 Feb 2021
Petrophysical and mechanical rock property database of the Los Humeros and Acoculco geothermal fields (Mexico)
Leandra M. Weydt
CORRESPONDING AUTHOR
Department of Geothermal Science and Technology, Technische
Universität Darmstadt, Schnittspahnstraße 9, 64287 Darmstadt,
Germany
Ángel Andrés Ramírez-Guzmán
Escuela Nacional de Estudios Superiores – Unidad Morelia, Universidad
Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701,
58190 Morelia, Michoacán, Mexico
Antonio Pola
Escuela Nacional de Estudios Superiores – Unidad Morelia, Universidad
Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701,
58190 Morelia, Michoacán, Mexico
Baptiste Lepillier
Faculty of Civil Engineering and Geosciences, Delft University of
Technology, Stevinweg 1, Delft 2628CD, the Netherlands
Juliane Kummerow
GFZ Research Centre for Geoscience, Telegrafenberg, 14473 Potsdam,
Germany
Giuseppe Mandrone
Department of Earth Sciences, University of Turin, Via Valperga
Caluso 35, 10125 Turin, Italy
Cesare Comina
Department of Earth Sciences, University of Turin, Via Valperga
Caluso 35, 10125 Turin, Italy
Paromita Deb
Institute for Applied Geophysics and Geothermal Energy, E.ON Energy
Research Center, RWTH Aachen, Mathieustraße 10, 52074 Aachen, Germany
Gianluca Norini
Istituto di Geologia Ambientale e Geoingegneria, Consiglio Nazionale
delle Ricerche, Via Roberto Cozzi 53, 20125 Milan, Italy
Eduardo Gonzalez-Partida
Centro de Geociencias, Universidad Nacional Autónoma de
México, 76230 Juriquilla, Querétaro, Mexico
Denis Ramón Avellán
CONACYT – Instituto de Geofísica, Universidad Nacional
Autónoma de México, Antigua Carretera a Pátzcuaro 8701, 58190
Morelia, Michoacán, Mexico
José Luis Macías
Instituto de Geofísica – Unidad Michoacán, Universidad
Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701,
58190 Morelia, Michoacán, Mexico
Kristian Bär
Department of Geothermal Science and Technology, Technische
Universität Darmstadt, Schnittspahnstraße 9, 64287 Darmstadt,
Germany
Ingo Sass
Department of Geothermal Science and Technology, Technische
Universität Darmstadt, Schnittspahnstraße 9, 64287 Darmstadt,
Germany
Darmstadt Graduate School of Excellence Energy Science and
Engineering, Jovanka-Bontschits Straße 2, 64287 Darmstadt, Germany
Related authors
Leandra M. Weydt, Kristian Bär, Chiara Colombero, Cesare Comina, Paromita Deb, Baptiste Lepillier, Giuseppe Mandrone, Harald Milsch, Christopher A. Rochelle, Federico Vagnon, and Ingo Sass
Adv. Geosci., 45, 281–287, https://doi.org/10.5194/adgeo-45-281-2018, https://doi.org/10.5194/adgeo-45-281-2018, 2018
Short summary
Short summary
The here submitted paper represents the first results of a larger project named
GEMex. The objective of the project – a Mexican–European cooperation – is to explore the geothermal potential of deep unconventional systems like enhanced geothermal systems (EGS) and super-hot geothermal systems (SHGS). New exploitation approaches and technologies are being developed, allowing the use of geothermal resources under challenging technical demands.
Leandra M. Weydt, Claus-Dieter J. Heldmann, Hans G. Machel, and Ingo Sass
Solid Earth, 9, 953–983, https://doi.org/10.5194/se-9-953-2018, https://doi.org/10.5194/se-9-953-2018, 2018
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This study focuses on the assessment of the geothermal potential of two extensive upper Devonian aquifer systems within the Alberta Basin (Canada). Our work provides a first database on geothermal rock properties combined with detailed facies analysis (outcrop and core samples), enabling the identification of preferred zones in the reservoir and thus allowing for a more reliable reservoir prediction. This approach forms the basis for upcoming reservoir studies with a focus on 3-D modelling.
Cesare Comina, Guido Maria Adinolfi, Carlo Bertok, Andrea Bertea, Vittorio Giraud, and Pierluigi Pieruccini
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-413, https://doi.org/10.5194/essd-2024-413, 2024
Preprint under review for ESSD
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Estimates of earthquake ground motions rely on evaluating soil and rock profiles, with shear wave velocity (Vs) as a key factor. Uncertainty in Vs impacts seismic hazard predictions. Stochastic procedures model this uncertainty, but must be calibrated using detailed geological data and Vs databases. This paper provides a new Vs profile database for Piedmont (NW Italy), integrating geological modeling and geophysical data, supporting similar studies in other regions.
Lionel Bertrand, Claire Bossennec, Wan-Chiu Li, Cédric Borgese, Bruno Gavazzi, Matthis Frey, Yves Géraud, Marc Diraison, and Ingo Sass
EGUsphere, https://doi.org/10.5194/egusphere-2023-1316, https://doi.org/10.5194/egusphere-2023-1316, 2023
Preprint archived
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The assessement of fracture networks is a key element for underground reservoir studies. The available methods for such assessement are unfortunately very limited in the case of complex 3 dimensions geometries. The paper shows a new method to overcome these limitations through automatic detection from images of outcrops.
Matthis Frey, Claire Bossennec, Lukas Seib, Kristian Bär, Eva Schill, and Ingo Sass
Solid Earth, 13, 935–955, https://doi.org/10.5194/se-13-935-2022, https://doi.org/10.5194/se-13-935-2022, 2022
Short summary
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The crystalline basement is considered a ubiquitous and almost inexhaustible source of geothermal energy in the Upper Rhine Graben. Interdisciplinary investigations of relevant reservoir properties were carried out on analogous rocks in the Odenwald. The highest hydraulic conductivities are expected near large-scale fault zones. In addition, the combination of structural geological and geophysical methods allows a refined mapping of potentially permeable zones.
Rafael Schäffer, Kristian Bär, Sebastian Fischer, Johann-Gerhard Fritsche, and Ingo Sass
Earth Syst. Sci. Data, 13, 4847–4860, https://doi.org/10.5194/essd-13-4847-2021, https://doi.org/10.5194/essd-13-4847-2021, 2021
Short summary
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Knowledge of groundwater properties is relevant, e.g. for drinking-water supply, spas or geothermal energy. We compiled 1035 groundwater datasets from 560 springs or wells sampled since 1810, using mainly publications, supplemented by personal communication and our own measurements. The data can help address spatial–temporal variation in groundwater composition, uncertainties in groundwater property prediction, deep groundwater movement, or groundwater characteristics like temperature and age.
E. Adamopoulos, C. Colombero, C. Comina, F. Rinaudo, M. Volinia, M. Girotto, and L. Ardissono
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 1–8, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-1-2021, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-1-2021, 2021
Velio Coviello, Lucia Capra, Gianluca Norini, Norma Dávila, Dolors Ferrés, Víctor Hugo Márquez-Ramírez, and Eduard Pico
Earth Surf. Dynam., 9, 393–412, https://doi.org/10.5194/esurf-9-393-2021, https://doi.org/10.5194/esurf-9-393-2021, 2021
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Short summary
The Puebla–Morelos earthquake (19 September 2017) was the most damaging event in central Mexico since 1985. The seismic shaking produced hundreds of shallow landslides on the slopes of Popocatépetl Volcano. The larger landslides transformed into large debris flows that travelled for kilometers. We describe this exceptional mass wasting cascade and its predisposing factors, which have important implications for both the evolution of the volcanic edifice and hazard assessment.
Sebastian Weinert, Kristian Bär, and Ingo Sass
Earth Syst. Sci. Data, 13, 1441–1459, https://doi.org/10.5194/essd-13-1441-2021, https://doi.org/10.5194/essd-13-1441-2021, 2021
Short summary
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Physical rock properties are a key element for resource exploration, the interpretation of results from geophysical methods or the parameterization of physical or geological models. Despite the need for physical rock properties, data are still very scarce and often not available for the area of interest. The database presented aims to provide easy access to physical rock properties measured at 224 locations in Bavaria, Hessen, Rhineland-Palatinate and Thuringia (Germany).
Silvia Massaro, Roberto Sulpizio, Gianluca Norini, Gianluca Groppelli, Antonio Costa, Lucia Capra, Giacomo Lo Zupone, Michele Porfido, and Andrea Gabrieli
Solid Earth, 11, 2515–2533, https://doi.org/10.5194/se-11-2515-2020, https://doi.org/10.5194/se-11-2515-2020, 2020
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In this work we provide a 2D finite-element modelling of the stress field conditions around the Fuego de Colima volcano (Mexico) in order to test the response of the commercial Linear Static Analysis software to increasingly different geological constraints. Results suggest that an appropriate set of geological and geophysical data improves the mesh generation procedures and the degree of accuracy of numerical outputs, aimed at more reliable physics-based representations of the natural system.
Gianluca Norini and Gianluca Groppelli
Solid Earth, 11, 2549–2556, https://doi.org/10.5194/se-11-2549-2020, https://doi.org/10.5194/se-11-2549-2020, 2020
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We identified several problems in Urbani et al. (2020), showing that their model does not conform to the age and location of faulting, identification and delimitation of uplifted areas and apical depressions, temperature and lithological well log, and stratigraphic and radiometric data. Published data indicate that the pressurization of the Los Humeros volcanic complex (LHVC) magmatic–hydrothermal system driving resurgence faulting occurs at a greater depth.
Kristian Bär, Thomas Reinsch, and Judith Bott
Earth Syst. Sci. Data, 12, 2485–2515, https://doi.org/10.5194/essd-12-2485-2020, https://doi.org/10.5194/essd-12-2485-2020, 2020
Short summary
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Petrophysical properties are key to populating numerical models of subsurface process simulations and the interpretation of many geophysical exploration methods. The P3 database presented here aims at providing easily accessible, peer-reviewed information on physical rock properties in one single compilation. The uniqueness of P3 emerges from its coverage and metadata structure. Each measured value is complemented by the corresponding location, petrography, stratigraphy and original reference.
Estimating the depth and evolution of intrusions at resurgent calderas: Los Humeros (Mexico)by Urbani et al. (2020)
Gianluca Norini and Gianluca Groppelli
Solid Earth Discuss., https://doi.org/10.5194/se-2020-110, https://doi.org/10.5194/se-2020-110, 2020
Revised manuscript not accepted
Short summary
Short summary
We identify several problems of the Urbani et al. (2020) study, showing that their model does not conform to the geological constraints. These problems, which largely undermine their conclusions, are poor field data, inconsistencies between the caldera complex and the modelling, lack of any substantial validation, and contradictions with the reference stratigraphy. The Urbani et al. (2020) analysis fails identify the caldera deformation source and the geothermal field heat source.
Swarup Chauhan, Kathleen Sell, Wolfram Rühaak, Thorsten Wille, and Ingo Sass
Geosci. Model Dev., 13, 315–334, https://doi.org/10.5194/gmd-13-315-2020, https://doi.org/10.5194/gmd-13-315-2020, 2020
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We present CobWeb 1.0, a graphical user interface for analysing tomographic images of geomaterials. CobWeb offers different machine learning techniques for accurate multiphase image segmentation and visualizing material specific parameters such as pore size distribution, relative porosity and volume fraction. We demonstrate a novel approach of dual filtration and dual segmentation to eliminate edge enhancement artefact in synchrotron-tomographic datasets and provide the computational code.
Philippe Calcagno, Gwladys Evanno, Eugenio Trumpy, Luis Carlos Gutiérrez-Negrín, José Luis Macías, Gerardo Carrasco-Núñez, and Domenico Liotta
Adv. Geosci., 45, 321–333, https://doi.org/10.5194/adgeo-45-321-2018, https://doi.org/10.5194/adgeo-45-321-2018, 2018
Short summary
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Geothermal resource is heat energy that can be recovered from underground in the Earth. As part of the European H2020 GEMex project, 3D geological models were constructed for the geothermal sites of Los Humeros and Acoculco in Mexico. These models allow a better understanding of the rock types and structure when targeting deep sources of geothermal energy; they will be updated during the project, serving as a framework for simulating the geothermal system.
Leandra M. Weydt, Kristian Bär, Chiara Colombero, Cesare Comina, Paromita Deb, Baptiste Lepillier, Giuseppe Mandrone, Harald Milsch, Christopher A. Rochelle, Federico Vagnon, and Ingo Sass
Adv. Geosci., 45, 281–287, https://doi.org/10.5194/adgeo-45-281-2018, https://doi.org/10.5194/adgeo-45-281-2018, 2018
Short summary
Short summary
The here submitted paper represents the first results of a larger project named
GEMex. The objective of the project – a Mexican–European cooperation – is to explore the geothermal potential of deep unconventional systems like enhanced geothermal systems (EGS) and super-hot geothermal systems (SHGS). New exploitation approaches and technologies are being developed, allowing the use of geothermal resources under challenging technical demands.
Meike Hintze, Barbara Plasse, Kristian Bär, and Ingo Sass
Adv. Geosci., 45, 251–258, https://doi.org/10.5194/adgeo-45-251-2018, https://doi.org/10.5194/adgeo-45-251-2018, 2018
Short summary
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The presented study is conducted within the scope of the joint research project "Hessen 3D 2.0" (BMWI-FKZ: 0325944) and aims at assessing the hydrothermal potential of the Pechelbronn Group for direct heat use by means of an integrated 3-D structural-geothermal model that serves to locate potential exploration areas. The assessment is based on reservoir temperature, (net)thickness of the reservoir horizon as well as on petrophysical, thermal and hydraulic rock properties.
Leandra M. Weydt, Claus-Dieter J. Heldmann, Hans G. Machel, and Ingo Sass
Solid Earth, 9, 953–983, https://doi.org/10.5194/se-9-953-2018, https://doi.org/10.5194/se-9-953-2018, 2018
Short summary
Short summary
This study focuses on the assessment of the geothermal potential of two extensive upper Devonian aquifer systems within the Alberta Basin (Canada). Our work provides a first database on geothermal rock properties combined with detailed facies analysis (outcrop and core samples), enabling the identification of preferred zones in the reservoir and thus allowing for a more reliable reservoir prediction. This approach forms the basis for upcoming reservoir studies with a focus on 3-D modelling.
Swarup Chauhan, Wolfram Rühaak, Hauke Anbergen, Alen Kabdenov, Marcus Freise, Thorsten Wille, and Ingo Sass
Solid Earth, 7, 1125–1139, https://doi.org/10.5194/se-7-1125-2016, https://doi.org/10.5194/se-7-1125-2016, 2016
Short summary
Short summary
Machine learning techniques are a promising alternative for processing (phase segmentation) of 3-D X-ray computer tomographic rock images. Here the performance and accuracy of different machine learning techniques are tested. The aim is to classify pore space, rock grains and matrix of four distinct rock samples. The porosity obtained based on the segmented XCT images is cross-validated with laboratory measurements. Accuracies of the different methods are discussed and recommendations proposed.
S. Homuth, A. E. Götz, and I. Sass
Geoth. Energ. Sci., 3, 41–49, https://doi.org/10.5194/gtes-3-41-2015, https://doi.org/10.5194/gtes-3-41-2015, 2015
C. Comina, M. Lasagna, D. A. De Luca, and L. Sambuelli
Hydrol. Earth Syst. Sci., 18, 3195–3203, https://doi.org/10.5194/hess-18-3195-2014, https://doi.org/10.5194/hess-18-3195-2014, 2014
C. Comina, M. Lasagna, D. A. De Luca, and L. Sambuelli
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-10035-2013, https://doi.org/10.5194/hessd-10-10035-2013, 2013
Revised manuscript not accepted
Related subject area
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The Rocklea Dome 3D Mineral Mapping Test Data Set
A solar optical hyperspectral library of rare-earth-bearing minerals, rare-earth oxide powders, copper-bearing minerals and Apliki mine surface samples
Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis
Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)
Coastline evolution of Portuguese low-lying sandy coast in the last 50 years: an integrated approach
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Julian Sievers, Peter Milbradt, Romina Ihde, Jennifer Valerius, Robert Hagen, and Andreas Plüß
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Luca Comegna, Emilia Damiano, Roberto Greco, Lucio Olivares, and Luciano Picarelli
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The set-up of an automatic field station allowed for the monitoring of the annual cyclic hydrological response of a deposit in pyroclastic air-fall soils covering a steep mountainous area in Campania region (Italy), which in 1999 was involved in a rainfall-induced flowslide. Data highlight the influence of the initial conditions, governed by the antecedent wetting/drying history, on the weather-induced hydraulic paths, allowing us to estimate their influence on the local stability conditions.
Carsten Laukamp, Maarten Haest, and Thomas Cudahy
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Friederike Koerting, Nicole Koellner, Agnieszka Kuras, Nina Kristin Boesche, Christian Rogass, Christian Mielke, Kirsten Elger, and Uwe Altenberger
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Mineral resource exploration and mining is an essential part of today's high-tech industry. Modern remote-sensing exploration techniques from multiple platforms (e.g., satellite) to detect the spectral characteristics of the surface require spectral libraries as an essential reference. To enable remote mapping, the spectral libraries for rare-earth-bearing minerals, copper-bearing minerals and surface samples from a copper mine are presented here with their corresponding geochemical validation.
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T. J. Crowley and M. B. Unterman
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Short summary
Petrophysical and mechanical rock properties are essential for reservoir characterization of the deep subsurface and are commonly used for the population of numerical models or the interpretation of geophysical data. The database presented here aims at providing easily accessible information on rock properties and chemical analyses complemented by extensive metadata (location, stratigraphy, petrography) covering volcanic, sedimentary, metamorphic and igneous rocks from Jurassic to Holocene age.
Petrophysical and mechanical rock properties are essential for reservoir characterization of the...
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