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Shishaev, Gleb; Demyanov, Vasily; Arnold, Daniel (2026) History matching under uncertainty of geological scenarios with implicit geological realism control with generative deep learning and graph convolutions. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106186

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Reference TypeJournal (article/letter/editorial)
TitleHistory matching under uncertainty of geological scenarios with implicit geological realism control with generative deep learning and graph convolutions
JournalComputers & Geosciences
AuthorsShishaev, GlebAuthor
Demyanov, VasilyAuthor
Arnold, DanielAuthor
Year2026 (August)Volume214
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2026.106186Search in ResearchGate
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Mindat Ref. ID20009478Long-form Identifiermindat:1:5:20009478:0
GUID0
Full ReferenceShishaev, Gleb; Demyanov, Vasily; Arnold, Daniel (2026) History matching under uncertainty of geological scenarios with implicit geological realism control with generative deep learning and graph convolutions. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106186
Plain TextShishaev, Gleb; Demyanov, Vasily; Arnold, Daniel (2026) History matching under uncertainty of geological scenarios with implicit geological realism control with generative deep learning and graph convolutions. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106186
In(2026) Computers & Geosciences Vol. 214. Elsevier BV

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Arauco (2021) Comput. Geosci. Recent developments combining ensemble smoother and deep generative networks for facies history matching On-line First
Arauco (2017)
Arvanitidis (2019)
Arvanitidis (2021)
Not Yet Imported: - journal-article : 10.1007/s11004-022-10003-3

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Chan (2018)
Chan (2019)
Not Yet Imported: - journal-article : 10.1038/s43588-022-00281-6

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Demyanov (2018) Math. Geosci. Uncertainty quantification in reservoir prediction: Part 2—Handling uncertainty in the geological scenario 51
Dupont (2018)
Edelsbrunner (2000) Topological persistence and simplification , 454
Guss (2018)
Hansen (2023)
Not Yet Imported: Journal of Educational Psychology - journal-article : 10.1037/h0070888

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Not Yet Imported: - journal-article : 10.1016/j.advwatres.2017.09.029

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Lawrence (2005) J. Mach. Learn. Res. Probabilistic non-linear principal component analysis with Gaussian process latent variable models 6, 1783
Levina (2004) Maximum likelihood estimation of intrinsic dimension 17
van der Maaten (2008) J. Mach. Learn. Res. Visualizing data using t-SNE 9, 2579
Morris (2021)
Mosser (2019)
Rubenstein (2018)
Shao (2017)
Tierny (2018) Topological data analysis for scientific visualization
Tolstikhin (2017)
Tosi (2014)
Yeremian (2022)


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