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Support Vector Regression Based on the Particle Swarm Optimization Algorithm for Tight Oil Recovery Prediction
[Image: see text] Tight oil fields are affected by factors such as geology, technology, and development, so it is difficult to directly obtain an accurate recovery rate. The accurate prediction of the recovery rate is very important for measuring reservoir development effects and dynamic analysis. T...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638026/ https://www.ncbi.nlm.nih.gov/pubmed/34870035 http://dx.doi.org/10.1021/acsomega.1c04923 |