Dehydration of natural gas using solid desiccants

Gandhidasan, P.; Al‐Farayedhi, Abdulghani A.; Al‐Mubarak, Ali A.

doi:10.1016/s0360-5442(01)00034-2

Cited by 138 publications

(40 citation statements)

References 1 publication

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“…Desiccant particles, such as silica gel, are widely used for drying processes due to their large specific capacity for moisture sorption and low regeneration temperature [1]. For instance, natural gas moisture removal is most often achieved by passing the gas through a bed of dry desiccant particles which are then regenerated by a heated air flow [2]. As another application for air-to-air energy recovery, silica gel and molecular sieve particles coated on closely spaced aluminum or plastic flow channels of regenerative wheels.…”

Section: Introductionmentioning

confidence: 99%

Measurement of convective heat transfer coefficients in a randomly packed bed of silica gel particles using IHTP analysis

Naghash

Fathieh

Besant

et al. 2016

Applied Thermal Engineering

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Section: Introductionmentioning

confidence: 99%

Measurement of convective heat transfer coefficients in a randomly packed bed of silica gel particles using IHTP analysis

Naghash

Fathieh

Besant

et al. 2016

Applied Thermal Engineering

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“…Natural gas contains a range of contaminants, of which water is the most prevalent (Gandhidasan et al, 2001). Existing water can condense and convert from a vapor to condensed water as well as gas hydrates during production, transportation, and processing.…”

Section: Introductionmentioning

confidence: 99%

“…The dehydration of natural gas is a crucial part of the natural gas conditioning process. During this process, the water associated with natural gas is removed (Gandhidasan et al, 2001). Several methods can be used to dehydrate natural gas.…”

Section: Introductionmentioning

confidence: 99%

Prediction of water removal rate in a natural gas dehydration system using radial basis function neural network

Tatar¹,

Nasery²,

Bahadori³

et al. 2016

Petroleum Science and Technology

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2016) Prediction of water removal rate in a natural gas dehydration system using radial basis function neural network, Petroleum Science and Technology, 34:10, 951-960To link to this article: http://dx. ABSTRACTNatural gas commonly contains water as a contaminant that can condense to water or form gas hydrates, which causes a range of problems during gas production, transportation, and processing. Therefore, the removal of gas moisture is of great importance. A common and popular method for removing water contamination from natural gas is using solid dehydrators. Calcium chloride is a nonregenerative desiccant to dehydrate natural gas. With continual water adsorption, CaCl 2 changes to consecutively higher states of hydration, finally producing a CaCl 2 brine solution. This method does not require heating or moving parts. In addition, it does not react with H 2 S or CO 2 . These features make this method a popular one for drying natural gas. Nevertheless, precise and simple methods are needed to predict the water content of natural gas dried by calcium chloride dehydrator units. In this study, an intelligent method, called the radial basis function neural network, was incorporated to predict the gas moisture dehydrated by calcium chloride in dehydration units. Modeling was performed under different conditions of a fresh recharge and before recharging. The overall correlation factor of 0.9999 for both the fresh charge and before charging conditions showed that the outputs of the proposed models were in agreement with the experimental data. In addition, the developed models were compared with the previously proposed intelligent models and classic correlations. The comparison showed that the developed model is superior to the previously proposed models and correlations regarding the accuracy of prediction.

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“…This is due to the fact that the presence of water molecules can form clathrate hydrates leading to pipeline plugging which is one of the most serious problems in the gas industry (Rahimpour et al, 2013a;Wen et al, 2012). The processes which are used for gas dehydration fall into five categories in principle: absorption with solvent, adsorption, gas permeation, refrigeration, and ultrasonic separation (Gandhidasan et al, 2001;Lin et al, 2013;Nemati Rouzbahani et al, 2014;Netusil and Ditl, 2011;Yang et al, 2014a;Yang et al, 2014b). Among these methods, absorption is the most commonly used process for natural gas dehydration and is the most attractive one from an economic point of view (Isa et al, 2013;Woodcock and Gottlieb, 2000).…”

Section: Introductionmentioning

confidence: 99%

Application of relative sensitivity function in parametric optimization of a tri-ethylene glycol dehydration plant

Ranjbar

Ahmadi

Sheshdeh

et al. 2015

Journal of Natural Gas Science and Engineering

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Dehydration of natural gas using solid desiccants

Cited by 138 publications

References 1 publication

Measurement of convective heat transfer coefficients in a randomly packed bed of silica gel particles using IHTP analysis

Measurement of convective heat transfer coefficients in a randomly packed bed of silica gel particles using IHTP analysis

Prediction of water removal rate in a natural gas dehydration system using radial basis function neural network

Application of relative sensitivity function in parametric optimization of a tri-ethylene glycol dehydration plant

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