Active Learning Method for Estimating Missing Logs in Hydrocarbon Reservoirs
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-52715-9_7
Reference25 articles.
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3. Cranganu C, Bautu E (2010) Using gene expression programming to estimate sonic log distributions based on the natural gamma ray and deep resistivity logs: a case study from the Anadarko Basin Oklahoma. J Petrol Sci Eng 70:243–255
4. Cranganu C, Breaban M (2013) Using support vector regression to estimate sonic log distributions: a case study from the Anadarko Basin, Oklahoma. J Petrol Sci Eng 103:1–13
5. El-Sebakhy EA, Asparouhov O, Abdulraheem AA, Al-Majed AA, Wu D, Latinski K, Raharja I (2012) Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir. Expert Syst Appl 39(12):10359–10375
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