Application of machine learning techniques for selecting the most suitable enhanced oil recovery method; challenges and opportunities

Application of fuzzy decision tree in EOR screening assessment

(2019) Nastaran Khazali et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Development of a hybrid scoring system for EOR screening by combining conventional screening guidelines and random forest algorithm

(2019) Na Zhang et al.   FUEL

From Coreflooding and Scaled Physical Model Experiments to Field-Scale EOR Evaluations: Comprehensive Review of the Gas-Assisted Gravity Drainage (GAGD) Process

(2018) Dr. Watheq J. J. Al-Mudhafar   ENERGY & FUELS

Deep learning

(2015) Yann LeCun et al.   NATURE

Literature review of implemented polymer field projects

(2014) Dag Chun Standnes et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Efficient screening of enhanced oil recovery methods and predictive economic analysis

(2014) Arash Kamari et al.   NEURAL COMPUTING & APPLICATIONS

RETRACTED ARTICLE: Feature selection for machine learning classification problems: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

Analysis of EOR projects and updated screening criteria

(2011) Ahmad Al Adasani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING