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Quantitative Image Analysis of Source Rocks Using Machine Learning Segmentation

Published online by Cambridge University Press:  30 July 2020

Shannon Eichmann ,
Poorna Srinivasan ,
Shawn Zhang  and
James Howard
Shannon Eichmann
Affiliation:
Aramco Services Company: Aramco Research Center - Houston, Houston, Texas, United States
Poorna Srinivasan
Affiliation:
Aramco Services Company, Houston, Texas, United States
Shawn Zhang
Affiliation:
DigiM Solution LLC, Burlington, Massachusetts, United States
James Howard
Affiliation:
DigiM Solution LLC, Burlington, Massachusetts, United States

Abstract

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Type
Call of the Wild: Advances in Microanalysis and Microscopy of Geological and Extraterrestrial Materials
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 2862 - 2865
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Copyright
Copyright © Microscopy Society of America 2020

References

Peters, KE and Cassa, MR, in “The Petroleum System – From Source to Trap” ed. Magoon, LB and Dow, WG, (AAPG, Tulsa) p. 93.Google Scholar
Bryndzia, LT and Braunsdof, NR, Elements 10 (2014) p. 271.10.2113/gselements.10.4.271CrossRefGoogle Scholar
Vandenbroucke, M, Rev. IFP, Oil & Gas Science and Technology 58 (2003) p. 243.10.2516/ogst:2003016CrossRefGoogle Scholar
van Krevelen, DW, “Coal: typology, physics, chemistry, constitution” (Elsevier, Amsterdam).Google Scholar
Schluter, S et al. , Water Resources Research 50 (2014) p. 3615.10.1002/2014WR015256CrossRefGoogle Scholar
Collins, TJ, Biotechniques 43 (S1) (2007) p. 25.10.2144/000112517CrossRefGoogle Scholar
Sheppard, A, Sok, R and Averdunk, H, Physica A 339 (1-2) (2004) p. 145.10.1016/j.physa.2004.03.057CrossRefGoogle Scholar
Andra, H et al. , Computers and Geoscience 50 (2013) p. 25.10.1016/j.cageo.2012.09.005CrossRefGoogle Scholar
Idowu, N et al. , SPE Reservoir Evaluation and Engineering 17 (2014) p. 473.10.2118/166030-PACrossRefGoogle Scholar
Howard, J, Lin, S and Zhang, S, Petrophysics 60 (2) (2019) p. 240.Google Scholar
Karimpoulia, S and Tahmasebi, P, Computers and Geoscience 126 (2019) p. 142.10.1016/j.cageo.2019.02.003CrossRefGoogle Scholar
Varfolomeev, I, Yakimchuk, I and Safonov, I, Computers 8 (2019) p. 72.10.3390/computers8040072CrossRefGoogle Scholar
We would like to thank Josh Brothers for assistance in image collection.Google Scholar