Hydrodynamics and separation performance analysis of inline, swirl tube separator for natural gas- water separation for potential offshore application

The application of an inline, swirl tube separator for gas-liquid separation on offshore facilities has been gaining interest in recent years. This is due to the advantage of space and weight savings as well as the prospect of better separation performance in comparison to conventional separation equipment. However, the availability of data and analysis on the hydrodynamics and separation performance of an inline, swirl tube separator is very scarce, especially at high pressure condition and high gas mass flow rate. The use of representative fluid other than hydrocarbon results in under prediction of the separation performance of the separator under actual operating condition

Investigation of the task oriented dual function inhibitors in gas hydrate inhibition: A review

Recent advances in gas hydrate research mainly focus on dual function gas hydrate inhibitors (DF-GHIs). DF-GHIs exhibit dual behavior of shifting the hydrate dissociation curve to lower temperatures and higher pressures as well as hindering or delaying the nucleation. The main focus of this review is to discuss all the possible factors that can induce dual functionality in gas hydrate inhibitors (GHIs). In this regard, this review summarizes the latest developments, classification, evaluation techniques and experimental findings of GHIs. The experimental data of different research groups is critically analyzed and systematically evaluated in terms of average depression temperature (ΔŦ) and relative inhibition power (RIP). The ΔŦ and RIP is calculated from existing experimental data. The studies in this field will give more knowledge at both academic and industrial level for the development of economical, efficient and biodegradable DF-GHIs

Adsorption performance of 5A molecular sieve zeolite in water vapor-binary gas environment: Experimental and modeling evaluation

In this work GERG2008 EoS was incorporated in a volumetric-gravimetric-chromatographic technique. The system utilized to measure in-mixtures components experimental selective isotherms individually, with the ability to analyze water vapor–gas components in the same mixture. 5A zeolite was used as a solid adsorbent for binary and ternary CO2/CH4/H2O mixtures adsorption at 50 °C and 70 °C temperature up to 10 bar pressure. Artificial neural network (ANN) modeling was applied to predict ternary and binary gaseous with the presence of water mixtures. This study delivered better clarification in the field of selectivity and reliability in the term of multicomponent and dual phase mixtures analysis

Experimental and neural network modeling of partial uptake for a carbon dioxide/methane/water ternary mixture on 13X Zeolite

In this work, GERG2008 EoS embedded in a volumetric–gravimetric technique was utilized to measure multicomponent partial uptakes into the mixture. The sophisticated combination may overlap recent theoretical measurements and replace it with real-time and experimental selective adsorption analysis. 13X zeolite was utilized as a solid adsorbent for the adsorption of binary and ternary CO/CH/HO mixtures. Premixed and preloaded water vapor was studied at 323 K temperature and up to 10 bar pressure. The isotherms of individual components within the mixture were identified and compared to the adsorption data of the pure components for assured benchmarking and validation. Artificial neural network (ANN) modeling was used to predict ternary mixtures. The ANN results showed a good agreement with the experimental data. Moreover, simulated configurations by utilizing an ANN model reflected the high consistency. We identified the behavior of the single components in ternary and higher multicomponent mixtures

Experimental measurements and modeling of supercritical CO2 adsorption on 13X and 5A zeolites

In this work, critical and supercritical operating conditions for CO removal studies had been inspected on 13X and 5A Zeolites in terms of CO adsorption, at 150 bars and two different operating temperatures, 50 and 70 °C. The newly developed and very high accuracy (10 precision) setup which consisted of gravimetric measurements was used to study the static adsorption. Excess isotherms had been corrected (Absolute/Gibbs isotherms) and measured. 13X zeolite showed higher adsorption which was 330 mg/g at 50 °C and 300 mg/g at 70 °C for CO at supercritical conditions, compared to 5A zeolite 280 mg/g, 230 mg/g, respectively. The absolute isotherms for both adsorbents are further predicted and simulated via artificial neural network (ANN) modeling. However, the predicted and simulated isotherms showed high agreement and consistency to the experimental data, respectively. Results for both adsorbents were fitted to the most favorable equilibrium models, namely Langmuir, Freundlich, Toth, and Sips isotherm. The results showed high acceptance (R 0.999) for Langmuir and Toth, especially at higher pressure. Virial curves and coefficients had been used to identify the Isosteric Heat of adsorption for 13X and 5A zeolites at the operating temperatures and pressure range. The curves illustrated that 5A started to saturate faster than 13X. The fluidical density of CO was observed at 0.7070 g/cm and 0.5054 g/cm on 13X at 50 and 70 °C respectively, and 13X had a higher fluidical density of CO compared to 5A. 13X and 5A zeolites showed lower rate constants at 70 °C compared to the values at 50 °C. The kinetic rate constant i.e.: k ≈ 0.0098 at 50 °C and 0.0013 at 70 °C on 13X, and k ≈ 0.0026 at 50 °C, and 0.0021 at 70 °C on 5A were observed at 150 bar

Synthesis, characterization, stability and thermal conductivity of multi-walled carbon nanotubes (MWCNTs) and eco-friendly jatropha seed oil based nanofluid: An experimental investigation and modeling approach

Despite the remarkable nanofluids potential in energy storage applications, the long-term dispersion stability of the nanoparticles in a base fluid along with improved thermal conductivity is a significant challenge towards their commercialization. Therefore, a novel surfactant MWCNTs and eco-friendly Jatropha seed oil based nanofluid are synthesized via one-step synthesis method and subjected to characterization via visual analysis, FTIR, Zeta potential, pore size distribution, thermogravimetric analysis (TGA), and UV analysis to investigate MWCNTs dispersion stability along with thermal conductivity measurement. The results showed the excellent MWCNTs dispersion stability in Jatropha seed oil and thermal conductivity improvement from 2.29% to 6.76% over the temperature within the range of 25–65 °C and nanoparticle weight fraction in the range of 0.2–0.8 wt%. Furthermore, two new correlations are proposed based on multiple non-linear regression analysis and dimensionless group analysis in the replacement of classical models which are failed to accurate prediction of thermal conductivity. The developed models showed remarkable thermal conductivity prediction accuracy with the value of R2 > 0.991. © 201