Publication: Analysis of Open Well Datasets
| creativeworkseries.issn | 2079-3537 | |
| dc.contributor.author | Makienko, D. O. | |
| dc.contributor.author | Safonov, I. V. | |
| dc.contributor.author | Сафонов, Илья Владимирович | |
| dc.date.accessioned | 2024-12-28T15:28:12Z | |
| dc.date.available | 2024-12-28T15:28:12Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Recently, the number of studies devoted to the use of machine learning methods in geophysics has been increasing significantly. Examples of such investigations include the prediction of rock properties and separation of rock types according to quantitative characteristics. Annotated datasets are required to build and evaluate the quality of machine learning based models. This paper analyzes open labeled well datasets and related research. We consider data containing well logs, rock images, laboratory results, labeled zonation by lithotypes. Methods for visualizing well data are presented. We provide recommendations for oil and gas companies on the preferable format for making well data publicly available | |
| dc.identifier.citation | D.O. Makienko, I.V. Safonov. Analysis of Open Well Datasets (2024). Scientific Visualization 16.5: 164 - 178, DOI: 10.26583/sv.16.5.11 | |
| dc.identifier.doi | 10.26583/sv.16.5.11 | |
| dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/30292 | |
| dc.identifier.uri | http://sv-journal.org/2024-5/11/ | |
| dc.publisher | НИЯУ МИФИ | |
| dc.subject | Machine learning | |
| dc.subject | Open datasets | |
| dc.subject | Rock images | |
| dc.subject | Well logs | |
| dc.title | Analysis of Open Well Datasets | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| journal.title | Научная визуализация | |
| journalvolume.identifier.name | Научная визуализация | |
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