A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant
Since the conventional thermal fluids such as water, oil, and ethylene glycol have poor
thermal properties, the tiny solid particles are added to these fluids to increase their heat …
thermal properties, the tiny solid particles are added to these fluids to increase their heat …
An intelligent method for iris recognition using supervised machine learning techniques
In the new millennium, with chaotic situation that exist in the world, people are threaten with
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …
Hybrid machine learning approaches for classification and detection of fractures in carbonate reservoir
MR Delavar - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Identifying reservoir fractures has been a challenge due to its significant influence in drilling
and production, especially in highly complex carbonate reservoirs. In this paper, one of the …
and production, especially in highly complex carbonate reservoirs. In this paper, one of the …
New insights into permeability determination by coupling Stoneley wave propagation and conventional petrophysical logs in carbonate oil reservoirs
A Rostami, A Kordavani, S Parchekhari… - Scientific Reports, 2022 - nature.com
The need to determine permeability at different stages of evaluation, completion,
optimization of Enhanced Oil Recovery (EOR) operations, and reservoir modeling and …
optimization of Enhanced Oil Recovery (EOR) operations, and reservoir modeling and …
Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks
Elimination of carbon dioxide from gas mixtures is a common commercial step in natural gas
refineries. Nowadays, room-temperature ionic liquids, which are a relatively novel type of …
refineries. Nowadays, room-temperature ionic liquids, which are a relatively novel type of …
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 …
Insights into the estimation of surface tensions of mixtures based on designable green materials using an ensemble learning scheme
Precise estimation of the physical properties of both ionic liquids (ILs) and their mixtures is
crucial for engineers to successfully design new industrial processes. Among these …
crucial for engineers to successfully design new industrial processes. Among these …
A new model for prediction of binary mixture of ionic liquids+ water density using artificial neural network
This study highlights the application of artificial neural network for prediction of density
values in a binary mixture of water and ionic liquids at different temperature for different …
values in a binary mixture of water and ionic liquids at different temperature for different …
Prediction of carbon dioxide solubility in aqueous mixture of methyldiethanolamine and N-methylpyrrolidone using intelligent models
Clear knowledge about the solubility of acid gases such as CO 2 in different solvents at
different states is very important, especially for carbon capture from flue gases. This study …
different states is very important, especially for carbon capture from flue gases. This study …
A RBF model for predicting the pool boiling behavior of nanofluids over a horizontal rod heater
Pool boiling is an effective means of heat transfer which can handle high fluxes in boiling
while maintaining minimum temperature differences over the heated surface. Addition of …
while maintaining minimum temperature differences over the heated surface. Addition of …