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pH prediction in concentrated aqueous solutions under high pressure of acid gases and high temperature.

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Title: pH prediction in concentrated aqueous solutions under high pressure of acid gases and high temperature.
Authors: Plennevaux, C.1, Ferrando, N.2, Kittel, J.3 jean.kittel@ifpen.fr, Frégonèse, M.4, Normand, B.4, Cassagne, T.1, Ropital, F.3, Bonis, M.1
Source: Corrosion Science. Aug2013, Vol. 73, p143-149. 7p.
Subjects: Hydrogen-ion concentration, Aqueous solutions, High pressure (Science), High temperatures, Acids, Prediction theory
Abstract: Highlights: [•] An extended model for pH prediction in oil and gas environments under high pressure and high temperature is proposed. [•] The model takes into account gas fugacities calculated using Soreide and Whitson model. [•] The activity of components in the liquid phase is calculated with Pitzer’s model. [•] The model shows a good agreement with experimental data. [Copyright &y& Elsevier]
Copyright of Corrosion Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 89276388
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: pH prediction in concentrated aqueous solutions under high pressure of acid gases and high temperature.
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  Data: <searchLink fieldCode="AR" term="%22Plennevaux%2C+C%2E%22">Plennevaux, C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ferrando%2C+N%2E%22">Ferrando, N.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kittel%2C+J%2E%22">Kittel, J.</searchLink><relatesTo>3</relatesTo><i> jean.kittel@ifpen.fr</i><br /><searchLink fieldCode="AR" term="%22Frégonèse%2C+M%2E%22">Frégonèse, M.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Normand%2C+B%2E%22">Normand, B.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Cassagne%2C+T%2E%22">Cassagne, T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ropital%2C+F%2E%22">Ropital, F.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Bonis%2C+M%2E%22">Bonis, M.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Corrosion+Science%22">Corrosion Science</searchLink>. Aug2013, Vol. 73, p143-149. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Hydrogen-ion+concentration%22">Hydrogen-ion concentration</searchLink><br /><searchLink fieldCode="DE" term="%22Aqueous+solutions%22">Aqueous solutions</searchLink><br /><searchLink fieldCode="DE" term="%22High+pressure+%28Science%29%22">High pressure (Science)</searchLink><br /><searchLink fieldCode="DE" term="%22High+temperatures%22">High temperatures</searchLink><br /><searchLink fieldCode="DE" term="%22Acids%22">Acids</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+theory%22">Prediction theory</searchLink>
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  Data: Highlights: [•] An extended model for pH prediction in oil and gas environments under high pressure and high temperature is proposed. [•] The model takes into account gas fugacities calculated using Soreide and Whitson model. [•] The activity of components in the liquid phase is calculated with Pitzer’s model. [•] The model shows a good agreement with experimental data. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Corrosion Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.corsci.2013.04.002
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