Journal
PETROLEUM SCIENCE AND TECHNOLOGY
Volume 35, Issue 6, Pages 625-631Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10916466.2016.1273241
Keywords
Amino acid; ANFIS; CO2; PSO; sodium glycinate
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Amino acid salt, especially sodium glycinate, was known as a new class of environment-friendly solution that is now being studied as a favorable alternative to amines. In the present collaboration, the Adaptive Network-based Fuzzy Inference System (ANFIS) was employed to estimate CO2 loading capacity in the presence of aqueous sodium glycinate solution under broad ranges of temperature and pressure. The outcomes of suggested ANFIS model indicated their brilliant agreement with corresponding experimental values. The calculated values of mean relative error and R-squared were 2.93 and 0.988, respectively. Our suggested model can be of huge value for process engineers to have a simple and accurate tool in order to have rapid estimations of CO2 solubility as a function of temperature, pressure, and mass composition of sodium glycinate solution.
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