Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples
Structure-from-motion (SfM) photogrammetry enables the cost-effective digital characterisation of seismic- to sub-decimetre-scale geoscientific samples. The technique is commonly used for the characterisation of outcrops, fracture mapping, and increasingly so for the quantification of deformation du...
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Online Access: | http://hdl.handle.net/11250/2637931 https://doi.org/10.3390/rs12020330 |
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ftngi:oai:ngi.brage.unit.no:11250/2637931 2023-05-15T17:08:31+02:00 Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples Betlem, Peter Birchall, Thomas Ogata, Kei Park, Joonsang Skurtveit, Elin Senger, Kim 2020 application/pdf http://hdl.handle.net/11250/2637931 https://doi.org/10.3390/rs12020330 eng eng Norges forskningsråd: 257579 Norges forskningsråd: 228107 Remote Sensing. 2020, 12 (2), . urn:issn:2072-4292 http://hdl.handle.net/11250/2637931 https://doi.org/10.3390/rs12020330 cristin:1781479 21 12 Remote Sensing 2 Peer reviewed Journal article 2020 ftngi https://doi.org/10.3390/rs12020330 2022-10-13T05:49:56Z Structure-from-motion (SfM) photogrammetry enables the cost-effective digital characterisation of seismic- to sub-decimetre-scale geoscientific samples. The technique is commonly used for the characterisation of outcrops, fracture mapping, and increasingly so for the quantification of deformation during geotechnical stress tests. We here apply SfM photogrammetry using off-the-shelf components and software, to generate 25 digital drill core models of drill cores. The selected samples originate from the Longyearbyen CO2 Lab project’s borehole DH4, covering the lowermost cap rock and uppermost reservoir sequences proposed for CO2 sequestration onshore Svalbard. We have come up with a procedure that enables the determination of bulk volumes and densities with precisions and accuracies similar to those of such conventional methods as the immersion in fluid method. We use 3D printed replicas to qualitatively assure the volumes, and show that, with a mean deviation (based on eight samples) of 0.059% compared to proven geotechnical methods, the photogrammetric output is found to be equivalent. We furthermore splice together broken and fragmented core pieces to reconstruct larger core intervals. We unwrap these to generate and characterise 2D orthographic projections of the core edge using analytical workflows developed for the structure-sedimentological characterisation of virtual outcrop models. Drill core orthoprojections can be treated as directly correlatable to optical borehole-wall imagery data, enabling a direct and cost-effective elucidation of in situ drill core orientation and depth, as long as any form of borehole imagery is available. Digital drill core models are thus complementary to existing physical and photographic sample archives, and we foresee that the presented workflow can be adopted for the digitisation and digital storage of other types of geological samples, including degradable and dangerous ice and sediment cores and samples. publishedVersion Article in Journal/Newspaper Longyearbyen Svalbard Norwegian Geotechnical Institute (NGI) Digital Archive Longyearbyen Svalbard Remote Sensing 12 2 330 |
institution |
Open Polar |
collection |
Norwegian Geotechnical Institute (NGI) Digital Archive |
op_collection_id |
ftngi |
language |
English |
description |
Structure-from-motion (SfM) photogrammetry enables the cost-effective digital characterisation of seismic- to sub-decimetre-scale geoscientific samples. The technique is commonly used for the characterisation of outcrops, fracture mapping, and increasingly so for the quantification of deformation during geotechnical stress tests. We here apply SfM photogrammetry using off-the-shelf components and software, to generate 25 digital drill core models of drill cores. The selected samples originate from the Longyearbyen CO2 Lab project’s borehole DH4, covering the lowermost cap rock and uppermost reservoir sequences proposed for CO2 sequestration onshore Svalbard. We have come up with a procedure that enables the determination of bulk volumes and densities with precisions and accuracies similar to those of such conventional methods as the immersion in fluid method. We use 3D printed replicas to qualitatively assure the volumes, and show that, with a mean deviation (based on eight samples) of 0.059% compared to proven geotechnical methods, the photogrammetric output is found to be equivalent. We furthermore splice together broken and fragmented core pieces to reconstruct larger core intervals. We unwrap these to generate and characterise 2D orthographic projections of the core edge using analytical workflows developed for the structure-sedimentological characterisation of virtual outcrop models. Drill core orthoprojections can be treated as directly correlatable to optical borehole-wall imagery data, enabling a direct and cost-effective elucidation of in situ drill core orientation and depth, as long as any form of borehole imagery is available. Digital drill core models are thus complementary to existing physical and photographic sample archives, and we foresee that the presented workflow can be adopted for the digitisation and digital storage of other types of geological samples, including degradable and dangerous ice and sediment cores and samples. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Betlem, Peter Birchall, Thomas Ogata, Kei Park, Joonsang Skurtveit, Elin Senger, Kim |
spellingShingle |
Betlem, Peter Birchall, Thomas Ogata, Kei Park, Joonsang Skurtveit, Elin Senger, Kim Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples |
author_facet |
Betlem, Peter Birchall, Thomas Ogata, Kei Park, Joonsang Skurtveit, Elin Senger, Kim |
author_sort |
Betlem, Peter |
title |
Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples |
title_short |
Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples |
title_full |
Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples |
title_fullStr |
Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples |
title_full_unstemmed |
Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples |
title_sort |
digital drill core models: structure-from-motion as a tool for the characterisation, orientation, and digital archiving of drill core samples |
publishDate |
2020 |
url |
http://hdl.handle.net/11250/2637931 https://doi.org/10.3390/rs12020330 |
geographic |
Longyearbyen Svalbard |
geographic_facet |
Longyearbyen Svalbard |
genre |
Longyearbyen Svalbard |
genre_facet |
Longyearbyen Svalbard |
op_source |
21 12 Remote Sensing 2 |
op_relation |
Norges forskningsråd: 257579 Norges forskningsråd: 228107 Remote Sensing. 2020, 12 (2), . urn:issn:2072-4292 http://hdl.handle.net/11250/2637931 https://doi.org/10.3390/rs12020330 cristin:1781479 |
op_doi |
https://doi.org/10.3390/rs12020330 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
2 |
container_start_page |
330 |
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1766064290496774144 |