Accurate machine learning models based on small dataset of energetic materials through spatial matrix featurization methods

C Chen, D Liu, S Deng, L Zhong, SHY Chan… - Journal of Energy …, 2021 - Elsevier
A large database is desired for machine learning (ML) technology to make accurate
predictions of materials physicochemical properties based on their molecular structure …

Prediction of formation of polycyclic aromatic hydrocarbon (PAHs) on sediment of Caspian Sea using artificial neural networks

J Sayyad Amin, H Rajabi Kuyakhi… - Petroleum Science and …, 2019 - Taylor & Francis
In this article the amount of polycyclic aromatic hydrocarbon (PAHs) on the sediment of
Caspian Sea predicted by artificial neural networks multi-layer perceptron (MLP) and …

Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation

M Mohamadi-Baghmolaei, A Hajizadeh, R Azin… - Journal of Petroleum …, 2018 - Springer
Transmission of natural gas with methane as the main constituent has been a subject of
interest to industrial companies. Predicting hydrate formation conditions is important to …

A new experimental and modeling strategy to determine asphaltene precipitation in crude oil

JS Amin, S Nikkhah, S Zendehboudi - Chemical Engineering Research …, 2017 - Elsevier
Asphaltene precipitation phenomenon which exhibits considerable influence on enhanced
oil recovery (EOR) processes is taken into account as an important matter in the petroleum …

Development of ANFIS models for polycyclic aromatic hydrocarbons (PAHs) formation in sea sediment

J Sayyad Amin, H Rajabi Kuyakhi… - Petroleum Science …, 2019 - Taylor & Francis
Polycyclic aromatic hydrocarbons (PAHs) are Canceriogenic and mutagenic substances.
These compounds are released in the environment by anthropogenic and natural sources …

Hydrate formation prediction model for binary gases of methane+ ethane and methane+ propane by using optimization algorithm

A Abbasi, FM Hashim - Petroleum Science and Technology, 2020 - Taylor & Francis
This research model equation is based on constant coefficients which were used for multiple
sets of experimental data. The developed optimized based prediction model is examined by …

Gas hydrate stability conditions: modeling on the basis of gas gravity approach

H Saghafi, H Yarveicy - Petroleum Science and Technology, 2019 - Taylor & Francis
The Katz gas gravity approach is known as the simplest method of predicting the hydrate
three-phase equilibrium (liquid water-hydrate-vapor) conditions between quadruple points …

Prediction of hydrate formation temperature based on an improved empirical correlation by imperialist competitive algorithm

JS Amin, SKB Nejad, M Veiskarami… - Petroleum Science and …, 2016 - Taylor & Francis
Formation of gas hydrates is an important problem in production and transmission of natural
gases. Hence, it is a particular interest and also vital to estimate the hydrate formation …

Error Analysis of Hydrate Formation Pressure Prediction Using ANN Algorithms and ANFIS

SA Mohammed, R Asaletha - International Joint Conference on Advances …, 2022 - Springer
In the gas and oil industry, gas hydrate clogs in pipelines are a concern as it increases
economic risks and causes a variety of operational harms. Being eco-conscious, non …

A novel strategy to evaluate titration-based asphaltene precipitation in various viscosity oil systems: Laboratory and modelling investigations

JS Amin, S Nikkhah, S Zendehboudi… - … Research and Design, 2019 - Elsevier
Asphaltenes are heavy fractions of petroleum mixtures, which precipitate out of homogenous
bulk fluid phase due to changes in pressure, temperature, and composition. Asphaltene …