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gas processing journal
  
سال:2018 - دوره:6 - شماره:2
  
 
evaluation of empirical correlations for predicting gas hydrate formation temperature
- صفحه:15-36
  
 
identification of the sources of energy loss through exergy analysis: case study of marun mega-olefin plant
- صفحه:37-48
  
 
prediction of thermodynamic properties of helium and neon as working fluids in cryogenic processes using fundamental equations of states
- صفحه:75-84
  
 
reactor rearrangement of an industrial ethylbenzene production unit
- صفحه:61-74
  
 
the effect of sodium and chloride salts on tetrahydrofuran hydrate formation by using a differential scanning calorimetry
- صفحه:49-60
  
 
transparent machine learning algorithm offers useful prediction method for natural gas density
- صفحه:1-14
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