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Robust reservoir identification by multi-well cluster analysis of wireline logging data
A novel clustering method is applied to well logs for improved rock type identification in hydrocarbon formations. For grouping the objects in the multi-dimensional data space, we propose a Most Frequent Value (MFV) based clustering technique applied to natural gamma ray, bulk density, sonic, photoe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189191/ https://www.ncbi.nlm.nih.gov/pubmed/37205989 http://dx.doi.org/10.1016/j.heliyon.2023.e15957 |