Membrane filtration of wastewater from gas and oil production

M Rezakazemi, A Khajeh, M Mesbah - Environmental Chemistry Letters, 2018 - Springer
More than 88 billion barrels of wastewater are produced yearly in the world from gas and oil
production. Given the rising demand for drinkable water, there is a need for advanced …

Artificial intelligence techniques and their application in oil and gas industry

S Choubey, GP Karmakar - Artificial Intelligence Review, 2021 - Springer
Data are being continuously generated from various operational steps in the oil and gas
industry. The recordings of these data and their proper utilization have become a major …

Optimization and prediction of the cotton fabric dyeing process using Taguchi design-integrated machine learning approach

MN Pervez, WS Yeo, L Lin, X Xiong, V Naddeo… - Scientific Reports, 2023 - nature.com
The typical textile dyeing process calls for a wide range of operational parameters, and it
has always been difficult to pinpoint which of these qualities is the most important in dyeing …

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 …

Prediction of thermogravimetric data in bromine captured from brominated flame retardants (BFRs) in e-waste treatment using machine learning approaches

L Ali, K Sivaramakrishnan, MS Kuttiyathil… - Journal of Chemical …, 2023 - ACS Publications
The principal objective in the treatment of e-waste is to capture the bromine released from
the brominated flame retardants (BFRs) added to the polymeric constituents of printed …

CO2/N2 Separation Using Polyvinyl Chloride Iso-Phthalic Acid/Aluminium Nitrate Nanocomposite Membrane

E Kianfar, M Salimi, F Kianfar, M Kianfar… - Macromolecular …, 2019 - Springer
In this paper, composite membranes based on polyvinyl chloride (PVC) has been prepared
and then filled with 0.125-0.250 wt% of iso-phthalic acid/aluminium nitrate nanoparticles. All …

Status of data-driven methods and their applications in oil and gas industry

K Balaji, M Rabiei, V Suicmez, CH Canbaz… - SPE Europec featured …, 2018 - onepetro.org
Data-driven methods serve as robust tools to turn data into knowledge. Historical data
generally has not been used in an effective way in analyzing processes due to lack of a well …

ANFIS modeling for prediction of CO2 solubility in potassium and sodium based amino acid Salt solutions

E Soroush, M Mesbah, N Hajilary… - Journal of Environmental …, 2019 - Elsevier
Amino acids are considered as a new class of solvents, which can be used in CO 2 capture
processes. Designing such processes requires simple and precise models for predicting …

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 …

Sustainable fashion: Design of the experiment assisted machine learning for the environmental-friendly resin finishing of cotton fabric

MN Pervez, WS Yeo, F Shafiq, MM Jilani, Z Sarwar… - Heliyon, 2023 - cell.com
Given the carcinogenic properties of formaldehyde-based chemicals, an alternative method
for resin-finishing cotton textiles is urgently needed. Therefore, the primary objective of this …