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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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Reference TypeJournal (article/letter/editorial)
TitlePrediction of total organic carbon content and free hydrocarbon content in shale oil reservoirs based on a Self-Consistent Adaptive Regression Network (SCARNet)
JournalComputers & Geosciences
AuthorsWang, ZhengAuthor
Jiang, ShuAuthor
Cui, ZhesiAuthor
Dong, XiaobinAuthor
Zhou, XinruiAuthor
Liu, HongjiAuthor
Xiao, XinmingAuthor
Zhang, HaosenAuthor
Year2026 (August)Volume214
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2026.106194Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID20009475Long-form Identifiermindat:1:5:20009475:9
GUID0
Full ReferenceWang, 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
Plain TextWang, 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
In(2026) Computers & Geosciences Vol. 214. Elsevier BV

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Hauke (2011) Quaest. Geogr. Comparison of values of pearson's and spearman's correlation coefficients on the same sets of data 30, 87
Not Yet Imported: Frontiers of Computer Science - journal-article : 10.1007/s11704-019-8452-2

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Not Yet Imported: - journal-article : 10.1007/s00521-009-0305-8

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Passey (1990) AAPG (Am. Assoc. Pet. Geol.) Bull. A practical model for organic richness from porosity and resistivity logs 74, 1777
Not Yet Imported: - journal-article : 10.46690/ager.2021.04.03

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Not Yet Imported: - journal-article : 10.1007/s13042-015-0328-7

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Not Yet Imported: Knowledge and Information Systems - journal-article : 10.1007/s10115-013-0706-y

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Not Yet Imported: - journal-article : 10.1016/j.engeos.2022.03.006

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Wang (2024) J. Earth Sci. Heterogeneous characteristics of various lamina assemblage in shale of Shahejie formation of the Zhanhua Sag, Bohai Bay basin, eastern China
Not Yet Imported: Neural Computation - journal-article : 10.1162/neco.1989.1.2.270

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Wu (2023) J. Earth Sci. Investigation of oil content in lacustrine shale-oil systems: insights from two different pyrolysis
Xie (2023) Mater. Today Commun. Prediction of shear strength of rock fractures using support vector regression and grid search optimization 36
Xin (2025) J. Earth Sci. Pore system of the multiple lithofacies reservoirs in low-medium maturity lacustrine shales: a case study from the Paleogene Kongdian formation in Bohai Bay basin, East China
Zhang (2026) Eng. Appl. Artif. Intell. Quantum-enhanced long short-term memory with attention for spatial permeability prediction in oilfield reservoirs 167
Zhao (2025) Inf. Process. Manag. SST: self-training with self-adaptive thresholding for semi-supervised learning 66
Zhao (2020) Mar. Petrol. Geol. Typical geological characteristics and exploration practices of lacustrine shale oil: a case study of the Kong-2 member strata of the Cangdong Sag in the Bohai Bay basin 113
Zhou (2025) Expert Syst. Appl. Missing well logs reconstruction based on cascaded bidirectional long short-term memory network 259


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