Shear modulus prediction of embedded pressurized salt layers and pinpointing zones at risk of casing collapse in oil and gas wells
S Rashidi, N Mohamadian, H Ghorbani… - Journal of Applied …, 2020 - Elsevier
Rock shear and strain behaviors deep in the sub-surface are dependent on several
geomechanical variables. These include various types of stress and rock formation moduli …
geomechanical variables. These include various types of stress and rock formation moduli …
Modelling enzyme inhibition toxicity of ionic liquid from molecular structure via convolutional neural network model
R Zhang, Y Chen, D Fan, T Liu, Z Ma… - SAR and QSAR in …, 2023 - Taylor & Francis
Deep learning (DL) methods further promote the development of quantitative structure–
activity/property relationship (QSAR/QSPR) models by dealing with complex relationships …
activity/property relationship (QSAR/QSPR) models by dealing with complex relationships …
Using AI and BES/MFC to decrease the prediction time of BOD5 measurement
I Medvedev, M Kornaukhova, C Galazis… - Environmental …, 2023 - Springer
Biochemical oxygen demand (BOD) is one of the most important water/wastewater quality
parameters. BOD5 is the amount of oxygen consumed in 5 days by microorganisms that …
parameters. BOD5 is the amount of oxygen consumed in 5 days by microorganisms that …
Prediction of natural gas density using only three measurable properties: intelligence and mathematical approaches
M Farzaneh-Gord, M Baghestani… - Energy Sources, Part A …, 2022 - Taylor & Francis
Accurate determination of natural gas (NG) density is a very important issue in the NG
custody transfer. In the conventional methods for density calculation such as laboratory …
custody transfer. In the conventional methods for density calculation such as laboratory …
Neural network modeling for rigorous simulation of mid-pressure reciprocating expansion engines performance
M Farzaneh-Gord, HR Rahbari - Petroleum Science and …, 2023 - Taylor & Francis
Abstract In the Natural Gas (NG) distribution network, the town border stations are used to
reduce NG pressure. Currently, pressure reduction is done by using throttling valves that …
reduce NG pressure. Currently, pressure reduction is done by using throttling valves that …
Evaluation of prediction models for the physical properties in fire-flooding exhaust reinjection process
Y Wang, M Chang, L Chen, S Wang, S Fan, D Hua - Energies, 2022 - mdpi.com
The reinjection of the fire-flooding exhaust is a novel disposal process for handling the
exhaust produced by the in-situ combustion technology. For reasonable process design and …
exhaust produced by the in-situ combustion technology. For reasonable process design and …
Enhancing the efficiency of polytetrafluoroethylene-modified silica hydrosols coated solar panels by using artificial neural network and response surface methodology
K Ramasamy, C Murugesan… - … Materials and Processes, 2023 - degruyter.com
In this article, an attempt was made to improve the efficiency of coated solar panels by using
artificial neural networks (ANNs) and response surface methodology (RSM). Using the spray …
artificial neural networks (ANNs) and response surface methodology (RSM). Using the spray …
Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios
Sažetak A thermodynamic analysis of CO2 closed-cycle gas turbine is presented in this
paper. Two processes are investigated-base process and the same process upgraded with …
paper. Two processes are investigated-base process and the same process upgraded with …
Using AI and BES/MFC to Decrease BOD5 Measurements Prediction Time
I Medvedev, K Polusmackova, C Galazis, B Lóránt… - 2022 - preprints.org
Biochemical oxygen demand (BOD) is one of the most important factors to consider when
evaluating water contamination. BOD5 is the amount of oxygen consumed in five days by …
evaluating water contamination. BOD5 is the amount of oxygen consumed in five days by …