Machine learning
Author:
Publisher
Elsevier
Reference66 articles.
1. Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm;Ahmad;Renewable and Sustainable Energy Reviews,2022
2. Machine learning-based models for predicting permeability impairment due to scale deposition;Ahmadi;Journal of Petroleum Exploration and Production Technology,2020
3. A cutting edge solution to monitor formation damage due to scale deposition: Application to oil recovery;Ahmadi;Canadian Journal of Chemical Engineering,2017
4. Comparison of kriging, machine learning algorithms and classical thermodynamics for correlating the formation conditions for CO2 gas hydrates and semi-clathrates;Ahmadi;Journal of Natural Gas Science and Engineering,2020
5. Equilibrium ratio of hydrocarbons and non-hydrocarbons at reservoir conditions: Experimental and modeling study;Ahmadi;Fuel,2017
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