Investigation of CO<sub>2</sub> Hydrate Formation in the presence of Gasoline

Sahith, S. Jai Krishna; Sivabalan, Vinayagam; Pedapati, Srinivasa Rao; Lal, Bhajan

doi:10.2991/aer.k.201229.018

Cited by 5 publications

(3 citation statements)

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“…This is due to the presence of contaminants and lengthy carbon chains. The production of gas hydrates is influenced by the presence of longer carbon chains 15,[35][36][37] . Also, at low temperature and high-pressure situations, crude oil behaves like a non-newtonian fluid.…”

Section: Resultsmentioning

confidence: 99%

Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems

Shaik

Sayani

Benjapolakul

et al. 2022

Sci Rep

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Gas hydrates are progressively becoming a key concern when determining the economics of a reservoir due to flow interruptions, as offshore reserves are produced in ever deeper and colder waters. The creation of a hydrate plug poses equipment and safety risks. No current existing models have the feature of accurately predicting the kinetics of gas hydrates when a multiphase system is encountered. In this work, Artificial Neural Networks (ANN) are developed to study and predict the effect of the multiphase system on the kinetics of gas hydrates formation. Primarily, a pure system and multiphase system containing crude oil are used to conduct experiments. The details of the rate of formation for both systems are found. Then, these results are used to develop an A.I. model that can be helpful in predicting the rate of hydrate formation in both pure and multiphase systems. To forecast the kinetics of gas hydrate formation, two ANN models with single layer perceptron are presented for the two combinations of gas hydrates. The results indicated that the prediction models developed are satisfactory as R2 values are close to 1 and M.S.E. values are close to 0. This study serves as a framework to examine hydrate formation in multiphase systems.

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Section: Resultsmentioning

confidence: 99%

Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems

Shaik

Sayani

Benjapolakul

et al. 2022

Sci Rep

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“…Out of all the hydrate formers, Hydrogen sulfide (H 2 S) is highly toxic and an aggressive hydrate former. , Being a slightly polar molecule, H 2 S exhibits a unique effect of dipole moment for hydrate stabilization. , Hydrogen sulfide (H 2 S) stabilizes both small and large cavities of structure-I hydrates. , Oil or natural gas is considered sour if it has a high percentage of hydrogen sulfide. According to the Texas Commission on Environmental Quality, natural gas containing more than 20 ppm H 2 S by volume is generally considered a sour gas. , In addition to being toxic, hydrogen sulfide in the presence of water also damages piping and other equipment handling sour gas by sulfide stress cracking.…”

Section: Introductionmentioning

confidence: 99%

“… 10 , 11 Hydrogen sulfide (H 2 S) stabilizes both small and large cavities of structure-I hydrates. 12 , 13 Oil or natural gas is considered sour if it has a high percentage of hydrogen sulfide. According to the Texas Commission on Environmental Quality, natural gas containing more than 20 ppm H 2 S by volume is generally considered a sour gas.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Thermodynamic Stability of Methane and Carbon Dioxide Hydrates in the Presence of Hydrogen Sulfide

et al. 2023

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This work presents the effect of hydrogen sulfide gas on the phase behavior of both methane gas hydrate formation and CO 2 gas hydrate formation. For this, the thermodynamic equilibrium conditions for various gas mixtures containing CH 4 /H 2 S and CO 2 / H 2 S are initially found by simulation using PVTSim software. These simulated results are compared using an experimental approach and the available literature. Then, the thermodynamic equilibrium conditions generated by simulation are used for generating Hydrate Liquid−Vapor-Equilibrium (HLVE) curves to understand the phase behavior of gases. Further, the effect of hydrogen sulfide on the thermodynamic stability of methane and carbon dioxide hydrates was studied. It was clearly observed from the results that an increase in H 2 S composition in the gas mixture decreases the stability of CH 4 and CO 2 hydrates.

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Development of a Prediction Model for Gas Hydrate Formation in Multiphase Pipelines by Artificial Intelligence

et al. 2022

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A prediction model is developed by means of artificial neural networks (ANNs) to determine the gas hydrate formation kinetics in multiphase gas dominant pipelines with crude oil. Experiments are conducted to determine the rate of formation and reaction kinetics of hydrates formation in multiphase systems. Based on the results, an artificial intelligence model is proposed to predict the gas hydrate formation rate in multiphase transmission pipelines. Two ANN models are suggested with single-layer perceptron (SLP) and multilayer perceptron (MLP). The MLP shows more accurate prediction when compared to SLP. The models were predicted accurately with high prediction accuracy both for the pure and multiphase systems.

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Investigation of CO₂ Hydrate Formation in the presence of Gasoline

Cited by 5 publications

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Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems

Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems

Estimation of Thermodynamic Stability of Methane and Carbon Dioxide Hydrates in the Presence of Hydrogen Sulfide

Development of a Prediction Model for Gas Hydrate Formation in Multiphase Pipelines by Artificial Intelligence

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Investigation of CO2 Hydrate Formation in the presence of Gasoline

Cited by 5 publications

References 0 publications

Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems

Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems

Estimation of Thermodynamic Stability of Methane and Carbon Dioxide Hydrates in the Presence of Hydrogen Sulfide

Development of a Prediction Model for Gas Hydrate Formation in Multiphase Pipelines by Artificial Intelligence

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Investigation of CO₂ Hydrate Formation in the presence of Gasoline