@article{(Open Science Index):https://publications.waset.org/pdf/9996850,
	  title     = {Study of a Crude Oil Desalting Plant of the National Iranian South Oil Company in Gachsaran by Using Artificial Neural Networks},
	  author    = {H. Kiani and  S. Moradi and  B. Soltani Soulgani and  S. Mousavian},
	  country	= {},
	  institution	= {},
	  abstract     = {Desalting/dehydration plants (DDP) are often installed in crude oil production units in order to remove water-soluble salts from an oil stream. In order to optimize this process, desalting unit should be modeled. In this research, artificial neural network is used to model efficiency of desalting unit as a function of input parameter. The result of this research shows that the mentioned model has good agreement with experimental data.
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {7},
	  number    = {12},
	  year      = {2013},
	  pages     = {1015 - 1018},
	  ee        = {https://publications.waset.org/pdf/9996850},
	  url   	= {https://publications.waset.org/vol/84},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 84, 2013},