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Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools

Successful design of enhanced geothermal systems (EGSs) requires accurate numerical simulation of hydraulic stimulation processes in the subsurface. To ensure correct prediction, the underlying model assumptions and constitutive relationships of simulators need to be verified against experimental da...

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Autores principales: Deb, Paromita, Düber, Stephan, Guarnieri Calo’ Carducci, Carlo, Clauser, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343873/
https://www.ncbi.nlm.nih.gov/pubmed/32641714
http://dx.doi.org/10.1038/s41597-020-0564-x
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author Deb, Paromita
Düber, Stephan
Guarnieri Calo’ Carducci, Carlo
Clauser, Christoph
author_facet Deb, Paromita
Düber, Stephan
Guarnieri Calo’ Carducci, Carlo
Clauser, Christoph
author_sort Deb, Paromita
collection PubMed
description Successful design of enhanced geothermal systems (EGSs) requires accurate numerical simulation of hydraulic stimulation processes in the subsurface. To ensure correct prediction, the underlying model assumptions and constitutive relationships of simulators need to be verified against experimental datasets. With the aim of generating laboratory-scale benchmark datasets, a state-of-the-art testing facility was developed, allowing for experiments under controlled conditions. Samples of size 30 cm × 30 cm × 45 cm were subjected to confining stresses while high-pressure fluid was injected into the sample through a pre-drilled borehole, where a saw-cut notch was used to initiate a penny-shaped fracture. Fracture growth and propagation was monitored by measuring pressure data and acoustic emissions detected using 32 seismic sensors. Subsequently, samples were split along the fracture plane to outline the created fracture marked by a red-dyed injection fluid. Finally, a 2D fracture contour was generated using photogrammetry. Presented datasets, accessible via a public repository, include experiments on granite and marble samples. They can be used for verifying and improving numerical codes for field stimulation designs.
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spelling pubmed-73438732020-07-13 Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools Deb, Paromita Düber, Stephan Guarnieri Calo’ Carducci, Carlo Clauser, Christoph Sci Data Data Descriptor Successful design of enhanced geothermal systems (EGSs) requires accurate numerical simulation of hydraulic stimulation processes in the subsurface. To ensure correct prediction, the underlying model assumptions and constitutive relationships of simulators need to be verified against experimental datasets. With the aim of generating laboratory-scale benchmark datasets, a state-of-the-art testing facility was developed, allowing for experiments under controlled conditions. Samples of size 30 cm × 30 cm × 45 cm were subjected to confining stresses while high-pressure fluid was injected into the sample through a pre-drilled borehole, where a saw-cut notch was used to initiate a penny-shaped fracture. Fracture growth and propagation was monitored by measuring pressure data and acoustic emissions detected using 32 seismic sensors. Subsequently, samples were split along the fracture plane to outline the created fracture marked by a red-dyed injection fluid. Finally, a 2D fracture contour was generated using photogrammetry. Presented datasets, accessible via a public repository, include experiments on granite and marble samples. They can be used for verifying and improving numerical codes for field stimulation designs. Nature Publishing Group UK 2020-07-08 /pmc/articles/PMC7343873/ /pubmed/32641714 http://dx.doi.org/10.1038/s41597-020-0564-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Deb, Paromita
Düber, Stephan
Guarnieri Calo’ Carducci, Carlo
Clauser, Christoph
Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
title Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
title_full Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
title_fullStr Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
title_full_unstemmed Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
title_short Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
title_sort laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343873/
https://www.ncbi.nlm.nih.gov/pubmed/32641714
http://dx.doi.org/10.1038/s41597-020-0564-x
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