Enhancing PVT property predictions for black oil reservoirs through the application of supervised machine learning techniques-Reference-Cited by-同舟云学术

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Enhancing PVT property predictions for black oil reservoirs through the application of supervised machine learning techniques

Published:2024-12 Issue: Volume:243 Page:213307
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Patidar Atul Kumar^ORCID,Singh Sarthak^ORCID,Anand Shubham^ORCID,Kumar Piyush^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. An empirical correlation for Oil FVF prediction;Abdul-Majeed;J. Can. Petrol. Technol.,1988

2. Random forest ensemble model for reservoir fluid property prediction;Adeeyo,2022

3. PVT Correlations for Middle East crude oils;Al-Marhoun;J. Petrol. Technol.,1988

4. New correlations for formation volume factors of oil and gas mixtures;Al-Marhoun;J. Can. Petrol. Technol.,1992

5. Adjustment of differential liberation data to separator conditions;Al-Marhoun;SPE Reservoir Eval. Eng.,2003

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