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Physics-informed deep learning to forecast [Formula: see text] during hydraulic fracturing
Short-term forecasting of estimated maximum magnitude ([Formula: see text] ) is crucial to mitigate risks of induced seismicity during fluid stimulation. Most previous methods require real-time injection data, which are not always available. This study proposes two deep learning (DL) approaches, alo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423224/ https://www.ncbi.nlm.nih.gov/pubmed/37573471 http://dx.doi.org/10.1038/s41598-023-40403-2 |