Extended thermodynamic model for high salinity produced waters

Tanveer, Sheik; Chen, Chau‐Chyun

doi:10.1016/j.ces.2021.116754

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…While most of the produced water is disposed of via underground injection, a major risk factor for seismic activity in the areas near the disposal well, development of novel technology to treat and reuse high salinity produced water has gained heightened interest. To support development and innovation of these novel treatment processes, a comprehensive thermodynamic model based on the eNRTL model in Aspen Properties has been developed for high salinity brines. − The dominant ionic species in high salinity brines that contribute to the salinity include Na + , K + , Ca 2+ , Mg 2+ , Cl – , and SO 4 2+ . However, the ionic species that cause most of the scaling in the treatment processes are the trace species such as Sr 2 + , Ba 2 + , HCO 3 – , and CO 3 2– .…”

Section: Industrial Applicationsmentioning

confidence: 99%

Electrolyte Thermodynamic Models in Aspen Process Simulators and Their Applications

Wang

Song

Zhang

et al. 2022

Ind. Eng. Chem. Res.

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Electrolyte systems are becoming increasingly important as the process industries transition to better address environmental sustainability and climate change. Industrial processes such as carbon capture and sequestration, brine water treatment, lithium refining, and many others require accurate and rigorous electrolyte thermodynamic models to support process simulation and design of chemical processes involving electrolyte systems. Distinctly different from nonelectrolyte systems, the solution nonideality of electrolyte systems is primarily characterized by the electrolyte solution chemistry and secondly impacted by the subsequent physical interactions and associations of true species in solutions. This Article presents the methodology in Aspen process simulators to address the solution chemistry with true species and apparent component approaches together with the two electrolyte thermodynamic models, Pitzer and Electrolyte Nonrandom Two-Liquid equations. Also covered are experimental data compilation, best practice in data regression, and industrial applications highlighted with CO 2 capture with amine solutions and high salinity brine solutions. We further present our perspectives in current challenges and emerging opportunities with thermodynamic modeling for electrolyte systems with high charge density ions, transport property estimation, and systematic data collection and verification.

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