| Reference Type | Journal (article/letter/editorial) |
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| Title | Prediction of total organic carbon content and free hydrocarbon content in shale oil reservoirs based on a Self-Consistent Adaptive Regression Network (SCARNet) |
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| Journal | Computers & Geosciences |
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| Authors | Wang, Zheng | Author |
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| Jiang, Shu | Author |
| Cui, Zhesi | Author |
| Dong, Xiaobin | Author |
| Zhou, Xinrui | Author |
| Liu, Hongji | Author |
| Xiao, Xinming | Author |
| Zhang, Haosen | Author |
| Year | 2026 (August) | Volume | 214 |
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| Publisher | Elsevier BV |
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| DOI | doi:10.1016/j.cageo.2026.106194Search in ResearchGate |
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| Generate Citation Formats |
| Mindat Ref. ID | 20009475 | Long-form Identifier | mindat:1:5:20009475:9 |
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| GUID | 0 |
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| Full Reference | Wang, Zheng; Jiang, Shu; Cui, Zhesi; Dong, Xiaobin; Zhou, Xinrui; Liu, Hongji; Xiao, Xinming; Zhang, Haosen (2026) Prediction of total organic carbon content and free hydrocarbon content in shale oil reservoirs based on a Self-Consistent Adaptive Regression Network (SCARNet). Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106194 |
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| Plain Text | Wang, Zheng; Jiang, Shu; Cui, Zhesi; Dong, Xiaobin; Zhou, Xinrui; Liu, Hongji; Xiao, Xinming; Zhang, Haosen (2026) Prediction of total organic carbon content and free hydrocarbon content in shale oil reservoirs based on a Self-Consistent Adaptive Regression Network (SCARNet). Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106194 |
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| In | (2026) Computers & Geosciences Vol. 214. Elsevier BV |
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