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040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn---
0861 |aM41-11/96-2019E-PDF
1001 |aChen, Z. |eauthor.|q(Zhuoheng)
24510|aApplications of machine learning to geoscience : |bnanoporosity and fluid flow in tight formations / |cZ. Chen, S.R. Stoyanov, X. Liu, J. Mane, and E. Little.
264 1|a[Ottawa] : |bGeological Survey of Canada, |c2019.
264 4|c©2019
300 |a1 online resource (1 page) : |billustrations (some colour).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aScientific presentation ; |v96
500 |a"Presented at CanmetENERGY Devon Artificial Intelligence Symposium. Date presented: October 30, 2018."
504 |aIncludes bibliographical references.
69207|2gccst|aPetroleum
69207|2gccst|aGeology
69207|2gccst|aModels
69207|2gccst|aArtificial intelligence
7001 |aStoyanov, S. R., |eauthor.
7001 |aLiu, X., |eauthor.
7001 |aMane, J., |eauthor.
7001 |aLittle, E. C., |eauthor.
7101 |aCanada. |bNatural Resources Canada.
7102 |aGeological Survey of Canada.
830#0|aScientific presentation (Geological Survey of Canada)|v96.|w(CaOODSP)9.820265
85640|qPDF|s8.69 MB|uhttps://publications.gc.ca/collections/collection_2019/rncan-nrcan/m41-11/M41-11-96-2019-eng.pdf