Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs

Author:

Al-Mudhafar Watheq J.ORCID,Abbas Mohammed A.,Wood David A.

Publisher

Elsevier BV

Subject

Stratigraphy,Economic Geology,Geology,Geophysics,Oceanography

Reference88 articles.

1. Clustering analysis and flow zone indicator for electrofacies characterization in the upper shale member in luhais oil field, SouthernIraq;Abbas,2019

2. Reservoir units of Mishrif Formation in Majnoon oil field, southern Iraq;Abbas;Iraqi J. Sci.,2019

3. Prediction of carbonate diagenesis from well logs using artificial neural network: an innovative technique to understand complex carbonate systems;Abdulaziz;Ain Shams Eng. J.,2020

4. Carbonate reservoir characterization with lithofacies clustering and porosity prediction;Al Moqbel;J. Geophys. Eng.,2011

5. Improved carbonate reservoir characterization: a case study from a supergiant field in southern of Iraq;Al-Ali,2019

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