Integrating Machine Learning and Geostatistics for Enhanced Unconventional Reservoir Characterization: A PCA-EFA Approach
<p id="p1">The mineralogical and geochemical complexity and spatial heterogeneity of organic-rich shale formations and other unconventional reservoirs suggest that integrated multivariate statistical methods and spatial modeling can improve drill site selection and production forecasting. Traditiona...
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| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2026
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/89845 |
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