Accurate prediction of miscibility of CO2 and supercritical CO2 in ionic liquids using machine learning
In this study, the solubility of CO 2 and supercritical (SC) CO 2 in 20 ionic liquids (ILs) of
different chemical families over a wide range of pressure (0.25–100.12 MPa) and …
different chemical families over a wide range of pressure (0.25–100.12 MPa) and …
Energy consumption prediction method based on LSSVM-PSO model for autonomous underwater gliders
Currently, most autonomous underwater gliders (AUGs) operate on primary lithium batteries.
As the state of charge of a primary lithium battery and the influence of marine environment …
As the state of charge of a primary lithium battery and the influence of marine environment …
Digitalization in thermodynamics
Digitalization is about data and how they are used. This has always been a key topic in
applied thermodynamics. In the present work, the influence of the current wave of …
applied thermodynamics. In the present work, the influence of the current wave of …
An insight into the modeling of sulfur content of sour gases in supercritical region
A Bemani, A Baghban, AH Mohammadi - Journal of Petroleum Science and …, 2020 - Elsevier
Sour gas reservoirs are one of the well-known energy re-sources in the world so
investigation of their problems especially deposition of sulfur is of interest for chemical and …
investigation of their problems especially deposition of sulfur is of interest for chemical and …
[HTML][HTML] On the prediction of geochemical parameters (TOC, S1 and S2) by considering well log parameters using ANFIS and LSSVM strategies
D Ahangari, R Daneshfar, M Zakeri, S Ashoori… - Petroleum, 2022 - Elsevier
Geochemical parameters are useful properties to enhance hydrocarbon exploration
certainty. Though, attaining these parameters, for instance total organic carbon (TOC) …
certainty. Though, attaining these parameters, for instance total organic carbon (TOC) …
Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach
Nanoparticles are usually used in the form of nanofluids that consist of nanoparticle and a
base fluid. Nanofluids have been used in many industrial processes like engine cooling and …
base fluid. Nanofluids have been used in many industrial processes like engine cooling and …
Efficient estimation of hydrolyzed polyacrylamide (HPAM) solution viscosity for enhanced oil recovery process by polymer flooding
A Rostami, M Kalantari-Meybodi… - Oil & Gas …, 2018 - ogst.ifpenergiesnouvelles.fr
Polymers applications have been progressively increased in sciences and engineering
including chemistry, pharmacology science, and chemical and petroleum engineering due …
including chemistry, pharmacology science, and chemical and petroleum engineering due …
Genetic programming (GP) approach for prediction of supercritical CO2 thermal conductivity
Gas thermal conductivity is one of the thermophysical properties that inevitably enters into
mathematical models of real systems used in the design of chemical engineering processes …
mathematical models of real systems used in the design of chemical engineering processes …
On accurate determination of PVT properties in crude oil systems: Committee machine intelligent system modeling approach
This study is focused on accurate determination of PVT properties of reservoir oil using an
ensemble approach referred to as committee machine intelligent system. PVT properties of …
ensemble approach referred to as committee machine intelligent system. PVT properties of …
Machine Learning Models for Vapor-Liquid Equilibrium of Binary Mixtures: State of the Art and Future Opportunities
GY Ottaiano, TD Martins - Chemical Engineering Research and Design, 2024 - Elsevier
Abstract Machine Learning (ML) models, especially, Artificial Neural Networks (ANNs) are
widely used in chemical processes modeling and also have been used for vapor-liquid …
widely used in chemical processes modeling and also have been used for vapor-liquid …