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Feng, Runhai, Grana, Dario, Balling, Niels (2021) Imputation of missing well log data by random forest and its uncertainty analysis. Computers & Geosciences, 152. 104763 doi:10.1016/j.cageo.2021.104763

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Reference TypeJournal (article/letter/editorial)
TitleImputation of missing well log data by random forest and its uncertainty analysis
JournalComputers & Geosciences
AuthorsFeng, RunhaiAuthor
Grana, DarioAuthor
Balling, NielsAuthor
Year2021 (July)Volume152
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2021.104763Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15396578Long-form Identifiermindat:1:5:15396578:6
GUID0
Full ReferenceFeng, Runhai, Grana, Dario, Balling, Niels (2021) Imputation of missing well log data by random forest and its uncertainty analysis. Computers & Geosciences, 152. 104763 doi:10.1016/j.cageo.2021.104763
Plain TextFeng, Runhai, Grana, Dario, Balling, Niels (2021) Imputation of missing well log data by random forest and its uncertainty analysis. Computers & Geosciences, 152. 104763 doi:10.1016/j.cageo.2021.104763
In(2021) Computers & Geosciences Vol. 152. Elsevier BV

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Feng, Runhai, Grana, Dario, Balling, Niels (2021) Variational inference in Bayesian neural network for well-log prediction. GEOPHYSICS, 86 (3) doi:10.1190/geo2020-0609.1
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Kim, Min Jun, Cho, Yongchae (2024) Imputation of missing values in well log data using k-nearest neighbor collaborative filtering. Computers & Geosciences, 193. doi:10.1016/j.cageo.2024.105712
Feng, Runhai, Balling, Niels, Grana, Dario (2020) Lithofacies classification of a geothermal reservoir in Denmark and its facies-dependent porosity estimation from seismic inversion. Geothermics, 87. 101854 doi:10.1016/j.geothermics.2020.101854
Feng, Runhai, Mejer Hansen, Thomas, Grana, Dario, Balling, Niels (2020) An unsupervised deep-learning method for porosity estimation based on poststack seismic data. GEOPHYSICS, 85 (6) doi:10.1190/geo2020-0121.1
Feng, Runhai, Balling, Niels, Grana, Dario, Dramsch, Jesper Soren, Hansen, Thomas Mejer (2021) Bayesian Convolutional Neural Networks for Seismic Facies Classification. IEEE Transactions on Geoscience and Remote Sensing, 59 (10) 8933-8940 doi:10.1109/tgrs.2020.3049012
Feng, Runhai (2021) Uncertainty analysis in well log classification by Bayesian long short-term memory networks. Journal of Petroleum Science and Engineering, 205. 108816pp. doi:10.1016/j.petrol.2021.108816
Feng, Runhai (2021) Improving uncertainty analysis in well log classification by machine learning with a scaling algorithm. Journal of Petroleum Science and Engineering, 196. 107995pp. doi:10.1016/j.petrol.2020.107995
Anyosa, Susan, Eidsvik, Jo, Grana, Dario (2024) Evaluating geophysical monitoring strategies for a CO2 storage project. Computers & Geosciences, 185. 105561 doi:10.1016/j.cageo.2024.105561
Gama, Pedro H.T., Faria, Jackson, Sena, Jessica, Neves, Francisco, Riffel, Vinícius R., Perez, Lucas, Korenchendler, André, Sobreira, Matheus C.A., Machado, Alexei M.C. (2025) Imputation in well log data: A benchmark for machine learning methods. Computers & Geosciences, 196. doi:10.1016/j.cageo.2024.105789
Ahmed, Nisar, Weibull, Wiktor Waldemar, Grana, Dario (2022) Constrained non-linear AVO inversion based on the adjoint-state optimization. Computers & Geosciences, 168. 105214 doi:10.1016/j.cageo.2022.105214
 
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