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Shale gas geological “sweet spot” parameter prediction method and its application based on convolutional neural network
Parameters such as gas content (GAS), porosity (PHI) and total organic carbon (TOC) are key parameters that reveal the shale gas geological “sweet spot” of reservoirs. However, the lack of a three-dimensional high-precision prediction method is not conducive to large-scale exploration of shale gas....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470566/ https://www.ncbi.nlm.nih.gov/pubmed/36100638 http://dx.doi.org/10.1038/s41598-022-19711-6 |