A reliable model to predict the methane-hydrate equilibrium: An updated database and machine learning approach

M Hosseini, Y Leonenko - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
Gas hydrates are a type of crystalline compounds that consists of water and small gas
molecules. A wide range of applications of gas hydrates in storing natural gas in the form of …

[HTML][HTML] Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates

EL Gjelsvik, M Fossen, K Tøndel - Fuel, 2023 - Elsevier
Gas hydrates represent one of the main flow assurance challenges in the oil and gas
industry as they can lead to plugging of pipelines and process equipment. In this paper we …

[HTML][HTML] A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological …

T Kashiwao, K Nakayama, S Ando, K Ikeda, M Lee… - Applied Soft …, 2017 - Elsevier
In this study, we develop and test a local rainfall (precipitation) prediction system based on
artificial neural networks (ANNs). Our system can automatically obtain meteorological data …

Accurate prediction of miscibility of CO2 and supercritical CO2 in ionic liquids using machine learning

M Mesbah, S Shahsavari, E Soroush, N Rahaei… - Journal of CO2 …, 2018 - Elsevier
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 …

Prediction of hydrate formation temperature using gene expression programming

MN Amar - Journal of Natural Gas Science and Engineering, 2021 - Elsevier
The accurate determination of hydrate formation temperature (HFT) is an extremely vital step
in the context of designing processes containing hydrates. Due to the prohibitive time and …

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 …

Dew point pressure of gas condensates, modeling and a comprehensive review on literature data

M Mirzaie, H Esfandyari, A Tatar - Journal of Petroleum Science and …, 2022 - Elsevier
The accurate and in-time prediction of gas condensates dew point pressure (P Dew) is of
great importance regarding the technical and economic points of view for fluid …

Development of explicit models to predict methane hydrate equilibrium conditions in pure water and brine solutions: A machine learning approach

M Hosseini, Y Leonenko - Chemical Engineering Science, 2024 - Elsevier
An important phase in the design of processes involving gas hydrates is predicting the
hydrate formation conditions. In this study, three explicit correlations based on machine …

A new generalized empirical correlation for predicting methane hydrate equilibrium conditions in pure water

NB Kummamuru, P Perreault… - Industrial & Engineering …, 2021 - ACS Publications
This work contributes to a new generalized empirical correlation for predicting methane
(CH4) hydrate equilibrium conditions in pure water. Unlike the conventional thermodynamic …

A robust predictive tool for estimating CO2 solubility in potassium based amino acid salt solutions

E Soroush, S Shahsavari, M Mesbah… - Chinese Journal of …, 2018 - Elsevier
The acid gas absorption in four potassium based amino acid salt solutions was predicted
using artificial neural network (ANN). Two hundred fifty-five experimental data points for CO …