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A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software
This data illustration the similarity and accuracy of two subsurface profile analysis software which is RES2DINV and VOXLER. Electrical resistivity imaging methods was conducted as a geophysical technique to get subsurface profile were borehole had previously been made in the same locations. The Gen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441720/ https://www.ncbi.nlm.nih.gov/pubmed/30976635 http://dx.doi.org/10.1016/j.dib.2019.103821 |
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author | Yasir, Safaa F. Jani, Janmaizatulriah Mukri, Mazidah |
author_facet | Yasir, Safaa F. Jani, Janmaizatulriah Mukri, Mazidah |
author_sort | Yasir, Safaa F. |
collection | PubMed |
description | This data illustration the similarity and accuracy of two subsurface profile analysis software which is RES2DINV and VOXLER. Electrical resistivity imaging methods was conducted as a geophysical technique to get subsurface profile were borehole had previously been made in the same locations. The General Department of Geoscience (JMG) conducted the drilling of the borehole in three locations which is Kampung Bangkahulu, Gemas, Kampung Semerbok, Rembau and Felda Bukit Rokan Utara. The 2D resistivity image from RES2DINV and the 3D image from VOXLER was highly matching the subsurface profile compared with borehole data log. The depth of the resistivity was 76.8, 87.2 and 39.4 respectively for the sites. This two software gave more clearly interpreted result for investigate the sub ground and geological formations. |
format | Online Article Text |
id | pubmed-6441720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64417202019-04-11 A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software Yasir, Safaa F. Jani, Janmaizatulriah Mukri, Mazidah Data Brief Earth and Planetary Science This data illustration the similarity and accuracy of two subsurface profile analysis software which is RES2DINV and VOXLER. Electrical resistivity imaging methods was conducted as a geophysical technique to get subsurface profile were borehole had previously been made in the same locations. The General Department of Geoscience (JMG) conducted the drilling of the borehole in three locations which is Kampung Bangkahulu, Gemas, Kampung Semerbok, Rembau and Felda Bukit Rokan Utara. The 2D resistivity image from RES2DINV and the 3D image from VOXLER was highly matching the subsurface profile compared with borehole data log. The depth of the resistivity was 76.8, 87.2 and 39.4 respectively for the sites. This two software gave more clearly interpreted result for investigate the sub ground and geological formations. Elsevier 2019-03-21 /pmc/articles/PMC6441720/ /pubmed/30976635 http://dx.doi.org/10.1016/j.dib.2019.103821 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Earth and Planetary Science Yasir, Safaa F. Jani, Janmaizatulriah Mukri, Mazidah A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software |
title | A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software |
title_full | A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software |
title_fullStr | A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software |
title_full_unstemmed | A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software |
title_short | A dataset of visualization methods to assessing soil profile using RES2DINV and VOXLER software |
title_sort | dataset of visualization methods to assessing soil profile using res2dinv and voxler software |
topic | Earth and Planetary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441720/ https://www.ncbi.nlm.nih.gov/pubmed/30976635 http://dx.doi.org/10.1016/j.dib.2019.103821 |
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