Advanced machine learning for missing petrophysical property imputation applied to improve the characterization of carbonate reservoirs

Author:

Abdulkhaleq Hussein B.ORCID,Khalil Khalil A.,Al-Mudhafar Watheq J.ORCID,Wood David A.ORCID

Publisher

Elsevier BV

Reference40 articles.

1. Bayesian and LASSO regressions for comparative permeability modeling of sandstone reservoirs;Al-Mudhafar;Nat. Resour. Res.,2019

2. Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field;Al-Mudhafar;Mar. Geophys. Res.,2019

3. Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs;Al-Mudhafar;J. Petrol. Sci. Eng.,2020

4. Multiple–point geostatistical lithofacies Simulation of fluvial sand–rich depositional environment: a case study from Zubair formation/south Rumaila oil field;Al-Mudhafar;SPE Reservoir Eval. Eng.,2018

5. Maximum likelihood & multiple imputation of incomplete static and dynamic reservoir data;Al-Mudhafer,2013

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