Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations

Author:

Tamoto HugoORCID,Gioria Rafael dos Santos,Carneiro Cleyton de CarvalhoORCID

Publisher

Elsevier BV

Reference69 articles.

1. Generating unrepresented proportions of geological facies using Generative Adversarial Networks;Abdellatif;Comput. Geosci.,2022

2. Support vector machine;Adankon,2009

3. Prediction of pore and fracture pressures using support vector machine;Ahmed,2019

4. The utilization of borehole images for sampling optimization in heterogeneous carbonate reservoirs of South Iraq;Al-Saeedi,2015

5. The value of petrophysical measurements across multiple scales - a lacustrine carbonate example from Campos Basin, Brazil;Alabi,2014

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