A critical review of biomass kinetics and membrane filtration models for membrane bioreactor systems
Performance modeling of wastewater treatment systems has now become an attractive area
of investigation for the design, analysis, and optimization of operations. Membrane …
of investigation for the design, analysis, and optimization of operations. Membrane …
Estimation of higher heating values (HHVs) of biomass fuels based on ultimate analysis using machine learning techniques and improved equation
To have a sustainable economy and environment, several countries have widely inclined to
the utilization of non-fossil fuels like biomass fuels to produce heat and electricity. The …
the utilization of non-fossil fuels like biomass fuels to produce heat and electricity. The …
Patch-based cellular automata model of urban growth simulation: Integrating feedback between quantitative composition and spatial configuration
Urban land use change modeling can enhance our understanding of processes and
patterns of urban growth that emerge from human-environment interactions. Cellular …
patterns of urban growth that emerge from human-environment interactions. Cellular …
Hybrid Smart Strategies to Predict Amine Thermal Degradation in Industrial CO2 Capture Processes
A Azarpour, S Zendehboudi - ACS omega, 2023 - ACS Publications
CO2 emission reduction is an essential step to achieve the climate change targets. Solvent-
based post-combustion CO2 capture (PCC) processes are efficient to be retrofitted to the …
based post-combustion CO2 capture (PCC) processes are efficient to be retrofitted to the …
[HTML][HTML] On the prediction of filtration volume of drilling fluids containing different types of nanoparticles by ELM and PSO-LSSVM based models
A Lekomtsev, A Keykhosravi, MB Moghaddam… - Petroleum, 2022 - Elsevier
There is a direct link between the extent of formation damage and the filtration volume of the
drilling fluids in hydrocarbon reservoirs. The filtration volume could be diminished by adding …
drilling fluids in hydrocarbon reservoirs. The filtration volume could be diminished by adding …
Modeling gypsum (calcium sulfate dihydrate) solubility in aqueous electrolyte solutions using extreme learning machine
Due to various operational conditions, experimental determination of gypsum solubility in
water-based systems comprising multiple ionic compounds is often impractical or costly. In …
water-based systems comprising multiple ionic compounds is often impractical or costly. In …
Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach
Nanoparticles are usually used in the form of nanofluids that consist of nanoparticle and a
base fluid. Nanofluids have been used in many industrial processes like engine cooling and …
base fluid. Nanofluids have been used in many industrial processes like engine cooling and …
Rigorous models to optimise stripping gas rate in natural gas dehydration units
Natural gas is an extremely vital supply of energy. Compared to other fossil fuels, demand
for natural gas is experiencing a considerable growth due to its accessibility, availability …
for natural gas is experiencing a considerable growth due to its accessibility, availability …
Applying SVM framework for modeling of CO2 solubility in oil during CO2 flooding
CO 2 solubility is one of the most important parameters that affects CO 2 flooding, because
gas dissolution into crude oil results in oil swelling, viscosity reduction, IFT reduction, oil …
gas dissolution into crude oil results in oil swelling, viscosity reduction, IFT reduction, oil …
Robust modeling approach for estimation of compressibility factor in retrograde gas condensate systems
MM Ghiasi, A Shahdi, P Barati… - Industrial & Engineering …, 2014 - ACS Publications
Knowledge of the phase behavior of condensate gas systems is important for predicting
reservoir performance and future processing needs. In this communication, new improved …
reservoir performance and future processing needs. In this communication, new improved …