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Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
Recent advances in machine learning (ML) have transformed the landscape of energy exploration, including hydrocarbon, CO(2) storage, and hydrogen. However, building competent ML models for reservoir characterization necessitates specific in-depth knowledge in order to fine-tune the models and achiev...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449861/ https://www.ncbi.nlm.nih.gov/pubmed/37620388 http://dx.doi.org/10.1038/s41598-023-40904-0 |