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Corrosion Inhibitor Surfactant Optimization: Part 1 - Inhibitor Efficiency Approach

Corrosion Inhibitor Surfactant Optimization: Part 1 – Inhibitor Efficiency
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Corrosion inhibitors provide a critical barrier to internal corrosion, presenting the most cost-effective form of mitigation and enabling operators to use carbon steel where it would otherwise be impractical. The correct selection and validation of inhibitors is essential to ensure successful field deployment, providing safe and reliable operation. However, the selection and optimization of a corrosion inhibitor for a particular field application is not trivial.  

Product Number: 51322-18043-SG
Author: Richard C. Woollam, Yasmin Hayatgheib, Joshua Owen, Richard Barker
Publication Date: 2022
Industries: Corrosion Monitoring and Control , Coatings
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$20.00
$20.00

A homologous series of alkyldimethylbenzylammonium chlorides (BAC) was used as a model for a composite commercial corrosion inhibitor formulation. The homologous series consisted of three BACs with C12, C14 and C16 tail lengths. A 10-point, three-component mixture design experimentation was performed to determine the composition for achieving the ‘optimal’ corrosion inhibitor performance. The CMC of each mixture combination (single, binary or ternary) was firstly evaluated using the lipophilic dye Nile Red. The corrosion inhibition performance of each mixture was subsequently determined at the respective CMC in a 1 wt.% NaCl solution under approximately 1 bar partial pressure of carbon dioxide (CO2) at 30 °C. In order to calculate the corrosion inhibitor efficiency for each mixture of components, the corrosion rates before and after the injection of the corrosion inhibitor mixture were measured by linear polarization resistance (LPR). The measured CMC values and corrosion inhibitor efficiencies for each mixture were plotted on a ternary diagram and a cubic response curve fitted to each dataset. The ‘peak’ in the mixture CMC response curve and the peak in the corrosion inhibitor efficiency response curve were then compared, and an optimal composition was estimated from the mixture response analysis. 

A homologous series of alkyldimethylbenzylammonium chlorides (BAC) was used as a model for a composite commercial corrosion inhibitor formulation. The homologous series consisted of three BACs with C12, C14 and C16 tail lengths. A 10-point, three-component mixture design experimentation was performed to determine the composition for achieving the ‘optimal’ corrosion inhibitor performance. The CMC of each mixture combination (single, binary or ternary) was firstly evaluated using the lipophilic dye Nile Red. The corrosion inhibition performance of each mixture was subsequently determined at the respective CMC in a 1 wt.% NaCl solution under approximately 1 bar partial pressure of carbon dioxide (CO2) at 30 °C. In order to calculate the corrosion inhibitor efficiency for each mixture of components, the corrosion rates before and after the injection of the corrosion inhibitor mixture were measured by linear polarization resistance (LPR). The measured CMC values and corrosion inhibitor efficiencies for each mixture were plotted on a ternary diagram and a cubic response curve fitted to each dataset. The ‘peak’ in the mixture CMC response curve and the peak in the corrosion inhibitor efficiency response curve were then compared, and an optimal composition was estimated from the mixture response analysis. 

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Corrosion Inhibitor Surfactant Optimization: Part 2 – Adsorption Kinetics Approach
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Corrosion Inhibitor Surfactant Optimization: Part 2 – Adsorption Kinetics Approach

Product Number: 51322-18045-SG
Author: Richard C. Woollam, Joshua Owen, Yasmin Hayatgheib, Richard Barker
Publication Date: 2022
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In the first paper, a mixture design matrix of a homologous series of alkyldimethylbenzylammonium chlorides (BAC) was used to assess the performance and facilitate optimization of a mixed surfactant corrosion inhibitor system based on surface coverage and steady state inhibited corrosion rate.1 In this second paper, the approach is extended to include adsorption kinetic analysis, as demonstrated in Woollam and Betancourt for a first-order Langmuir kinetic model.2 
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Corrosion Inhibitor Encapsulation For Enhanced Chemical Efficiency And Performance

Product Number: 51322-17548-SG
Author: Fang Cao, James Oxley, Yao Xiong, Satish Bodige, Dennis Schmatz
Publication Date: 2022
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Corrosion of pipelines made of carbon steel and exposed to wet hydrocarbons containing CO2 and H2S is a common but serious problem encountered in petroleum industry and its occurrence causes enormousexpense due to production downtime, accidental injuries, and replacement costs. Control and prevent corrosion using chemical treatment (e.g. corrosion inhibitor injection) is one of the most cost-effective solutions and commonly practiced methods to prevent corrosion failures in pipelines in oil and gas industry. Generally speaking, the active corrosion inhibitor (CI) components in commercial CI packages are usually organic, nitrogen-based surfactants such as amines, imidazoline and its derivatives. Due to the amphiphilic nature of surfactants, a good fraction of the injected CI will inevitably go into the oil phase through partitioning and to the oil/water interface.
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Effect Of Hydrophobic Interaction On Corrosion Inhibitor Efficiency

Product Number: 51322-17597-SG
Author: Susumu Hirano, Ayano Yasui, Hirotaka Mizukami, Tatsuya Sei, Toshiyuki Sunaba
Publication Date: 2022
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Corrosion inhibitors are used to prevent pipeline corrosion in oil and gas industry. The evaluation of corrosion inhibitors is one of the most important tasks for the corrosion engineers. Corrosion of the metal is suppressed by the inhibitor adsorption on the metal surface. Active ingredients of corrosion inhibitors are, in general, surfactants. A surfactant can adsorb on the internal metal surface of piping and makes a hydrophobic film preventing the contact of water with the metal surface.
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