(6jv) New Data, Sensors and Models to Avoid Cryogenic Solids Formation in LNG Production | AIChE

(6jv) New Data, Sensors and Models to Avoid Cryogenic Solids Formation in LNG Production

Authors 

Siahvashi, A. - Presenter, University of Western Australia
Al Ghafri, S., University of Western Australia
May, E. F., University of Western Australia
Stanwix, P. L., University of Western Australia
Graham, B. F., University of Western Australia
Research Interests: LNG and Thermodynamics

Teaching Interests: Gas Processing and Thermodynamics

The formation and deposition of solids during the cryogenic processing of natural gas is a perennial risk for operators. Current tools for predicting heavy hydrocarbon solid formation temperatures suffer from various limitations including restricted composition ranges and/or an inability to represent the available literature data. New measurements of the trace BTEX, CO2 and H2O solubilities in multi-component LNG mixtures are essential if more robust predictive models are to be developed. Furthermore, the process gas chromatographs used to protect cryogenic heat exchangers from solids freeze-out do not have the resolution needed to distinguish high- and lower-risk compounds (e.g. benzene vs hexane), and only provide an indirect indication of risk: the composition measured must still be converted to a freeze-out temperature using a thermodynamic model.

We present here outcomes from our ongoing program to help avoid cryogenic solids formation in LNG production. A new software tool called ThermoFAST has been developed and endorsed by GPA Midstream to replace the Kohn-Luks Solids Solubility Program. High-pressure visual cells operating at cryogenic temperatures have been constructed and used to produce new solid-liquid equilibrium data to further validate and extend ThermoFAST. These tools have been used to explore phenomena of retrograde solidification in LNG systems, which may lead to novel methods of mitigating inadvertent solids formation in operating plants. Finally, our efforts to develop a more robust sensor capable of directly assessing heavy hydrocarbon freeze-out risk will be described.