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Design of Artificial Neural Network for Prediction of Hydrogen Sulfide and Carbon Dioxide Concentrations in a Natural Gas Sweetening Plant

Alardhi Saja Mohsen, Al-Jadir Thaer, Hasan Ahmed Mudheher, Jaber Alaa Abdulhady, Al Saedi Laith Majeed

Ecological Engineering & Environmental Technology

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2023

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Vol. 24, iss. 2

55--66

EN

Gas sweetening is a fundamental step in gas treatment processes for environmental and safety concerns. One of the most extensively used and largely recognized solvents for gas sweetening is methyl diethanolamine (MDEA). One of the most crucial metrics for measuring the effectiveness of gas treatment units is the amount of acid gas that has been treated with MDEA solution. As a result, it should be regularly monitored to avoid operational issues in downstream processes and excessive energy consumption. In this study, the artificial neural network (ANN) approach was followed to predict the H2S and CO2 sour gases concentrations of sweetening process. The model was built using dataset gathered from a real operation plant in Iraq, collected from February 2019 to February 2020, and used as input to the neural network. The data include H2S and CO2 concentrations of the feed gas, temperature, pressure, and flow rate of the unit. The designed ANN model showed good accuracy in modeling the process under investigation, even for a wide range of parameter variability. The testing outcomes demonstrated a high coefficient of determination (R2) of greater than 0.99, while the overall training performance showed a low mean squared error (MSE) of less than 0.0003.

2

Reaction kinetics of CO2 in aqueous methyldiethanolamine solutions using the stopped-flow technique

Kierzkowska-Pawlak H., Siemieniec M., Chacuk A.

Chemical and Process Engineering

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2012

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Vol. 33, nr 1

7-18

EN

The kinetics of the reaction between CO2 and methyldiethanolamine in aqueous solutions have been studied using the stopped-flow technique at 288, 293, 298 and 303 K. The amine concentration ranged from 250 to 875 molźm-3. The overall reaction rate constant was found to increase with amine concentration and temperature. The acid base catalysis mechanism was applied to correlate the experimentally determined kinetic data. A good agreement between the second order rate constants for the CO2 reaction with MDEA computed from the stopped-flow data and the values reported in the literature was obtained.

3

Kinetics of carbon dioxide absorption into aqueous MDEA solutions

Kierzkowska-Pawlak H., Chacuk A.

Ecological Chemistry and Engineering. S

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2010

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Vol. 17, nr 4

463-475

EN

The CO2 absorption rate in aqueous methyldiethanolamine solutions was measured using a stirred cell with a flat gas-liquid interface. The measurements were performed in the temperature range of (293.15 to 333.15) K and amine concentration range of (10 to 20) mass %. Measurements were based on a batch isothermal absorption of the gas. The kinetic experiments were conducted under pseudo-first-order regime. The calculated initial absorption rates enabled to estimate the forward, second order reaction rate constant of CO2 reaction with MDEA in aqueous solution.

PL

Metody absorpcyjne usuwania CO2 z wielu mieszanin gazowych mają szerokie zastosowanie przemysłowe. W niniejszej pracy wykonano pomiary szybkości absorpcji CO2 w wodnych roztworach metylodietanoloaminy w reaktorze zbiornikowym z mieszadłem z płaską powierzchnią kontaktu. Pomiary wykonano w zakresie temperatur (293,15÷333,15) K i stężeń (10÷20)% mas. MDEA. Absorpcję realizowano w warunkach okresowych w stosunku do fazy ciekłej i gazowej. Stwierdzono, że w warunkach doświadczenia absorpcja przebiegała w reżimie szybkiej reakcji chemicznej pseudopierwszego rzędu. Na podstawie zmierzonej szybkości procesu w chwili początkowej wyznaczono stałe szybkości drugorzędowej reakcji CO2 w roztworze MDEA. Otrzymane wartości stałej szybkości reakcji skorelowano za pomocą równania Arrheniusa.