Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community
Digital Rocks Portal (DRP, https://www.digitalrocksportal.org) organizes and preserves imaged datasets and experimental measurements of porous materials in subsurface, and beyond, with the mission to connect them to simulation and analysis, as well as educate the research community. We have over 150...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/04/e3sconf_sca2022_01010.pdf |
| _version_ | 1797901668464984064 |
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| author | Prodanović Maša Esteva Maria McClure James Chang Bernard C. Santos Javier E. Radhakrishnan Anuradha Singh Ankita Khan Hasan |
| author_facet | Prodanović Maša Esteva Maria McClure James Chang Bernard C. Santos Javier E. Radhakrishnan Anuradha Singh Ankita Khan Hasan |
| author_sort | Prodanović Maša |
| collection | DOAJ |
| description | Digital Rocks Portal (DRP, https://www.digitalrocksportal.org) organizes and preserves imaged datasets and experimental measurements of porous materials in subsurface, and beyond, with the mission to connect them to simulation and analysis, as well as educate the research community. We have over 150 projects represented in more than 200 publications, and an active community that reuses the data, most recently in multiple machine learning applications for automating image analysis as well as the prediction of transport. Such automation is crucial for performing formation evaluation tasks in near-real time. We present benchmark datasets that have played a role in recent machine learning prediction successes in the field. We further discuss the vision for further research advances, educational materials, as well as growth and sustainability plan of this digital rock physics community resource. In particular, we are in the process of expanding into a broader repository of engineered porous materials, specifically those for energy storage and the portal will transition to Digital Porous Media (DPM) in near future. |
| first_indexed | 2024-04-10T09:05:29Z |
| format | Article |
| id | doaj.art-698d128285fc4edb8576a1493beb6b3d |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-10T09:05:29Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-698d128285fc4edb8576a1493beb6b3d2023-02-21T08:05:58ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013670101010.1051/e3sconf/202336701010e3sconf_sca2022_01010Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and communityProdanović Maša0Esteva Maria1McClure James2Chang Bernard C.3Santos Javier E.4Radhakrishnan Anuradha5Singh Ankita6Khan Hasan7Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at AustinTexas Advanced Computing Center, The University of Texas at AustinAdvanced Research Computing, Virginia TechHildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at AustinCenter for Nonlinear Studies & Earth and Environmental Sciences, Los Alamos National LaboratoryHildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at AustinUniversity of New South Wales alumnaPetroleum Engineering Department, King Fahd University of Petroleum and MineralsDigital Rocks Portal (DRP, https://www.digitalrocksportal.org) organizes and preserves imaged datasets and experimental measurements of porous materials in subsurface, and beyond, with the mission to connect them to simulation and analysis, as well as educate the research community. We have over 150 projects represented in more than 200 publications, and an active community that reuses the data, most recently in multiple machine learning applications for automating image analysis as well as the prediction of transport. Such automation is crucial for performing formation evaluation tasks in near-real time. We present benchmark datasets that have played a role in recent machine learning prediction successes in the field. We further discuss the vision for further research advances, educational materials, as well as growth and sustainability plan of this digital rock physics community resource. In particular, we are in the process of expanding into a broader repository of engineered porous materials, specifically those for energy storage and the portal will transition to Digital Porous Media (DPM) in near future.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/04/e3sconf_sca2022_01010.pdf |
| spellingShingle | Prodanović Maša Esteva Maria McClure James Chang Bernard C. Santos Javier E. Radhakrishnan Anuradha Singh Ankita Khan Hasan Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community E3S Web of Conferences |
| title | Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community |
| title_full | Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community |
| title_fullStr | Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community |
| title_full_unstemmed | Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community |
| title_short | Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community |
| title_sort | digital rocks portal digital porous media connecting data simulation and community |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/04/e3sconf_sca2022_01010.pdf |
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