On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment

A Hemmati-Sarapardeh, A Varamesh… - … and Sustainable Energy …, 2018 - Elsevier
Viscosity of nanofluids can significantly affect pumping power, pressure drop, workability of
the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …

Clathrate hydrate technology for cold storage in air conditioning systems

X Wang, M Dennis, L Hou - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Clathrate hydrate is an attractive technology for cold storage applications. It offers a high
cold storage density and elevates the phase change temperature compared to water. It …

Permeability prediction and diagenesis in tight carbonates using machine learning techniques

H Al Khalifah, PWJ Glover, P Lorinczi - Marine and Petroleum Geology, 2020 - Elsevier
Abstract Machine learning techniques have found their way into many problems in
geoscience but have not been used significantly in the analysis of tight rocks. We present a …

[HTML][HTML] Application of artificial intelligence to forecast hydrocarbon production from shales

P Panja, R Velasco, M Pathak, M Deo - Petroleum, 2018 - Elsevier
Artificial intelligence (AI) methods and applications have recently gained a great deal of
attention in many areas, including fields of mathematics, neuroscience, economics …

Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models

M Seyyedattar, MM Ghiasi, S Zendehboudi, S Butt - Fuel, 2020 - Elsevier
Successful field development relies on effective reservoir management, which, in turn, is, to
a great extent, influenced by the knowledge of reservoir fluid properties and phase …

Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids

M Hosseinzadeh, A Hemmati-Sarapardeh - Journal of Molecular Liquids, 2014 - Elsevier
Ionic liquids (ILs) are widely under research and being more and more used in many
industrial fields due to their unique properties. The knowledge of physicochemical properties …

Prediction of methane hydrate formation conditions in salt water using machine learning algorithms

H Xu, Z Jiao, Z Zhang, M Huffman, Q Wang - Computers & Chemical …, 2021 - Elsevier
Predicting formation conditions of gas hydrates in salt water is important for the management
of hydrate in processes such as flow assurance, deep-water drilling, and hydrate-based …

Implementation of SVM framework to estimate PVT properties of reservoir oil

S Rafiee-Taghanaki, M Arabloo, A Chamkalani… - Fluid Phase …, 2013 - Elsevier
Through this work, a novel mathematical-based approach was proposed to develop reliable
models for calculation of PVT properties of crude oils at various reservoir conditions. For this …

Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach

MA Ahmadi, M Ebadi, SM Hosseini - Fuel, 2014 - Elsevier
Owing to water coning, water flows into the production wellbore from below the perforated
channels and normally causes several technical issues in wellbore and surface production …

Evolving smart approach for determination dew point pressure through condensate gas reservoirs

MA Ahmadi, M Ebadi - Fuel, 2014 - Elsevier
To design gas condensate production planes with low uncertainty along with robust
reservoir simulation, precise estimation or monitoring of dew point pressure play a crucial …