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C Study of a Crude Oil Desalting Plant of the National Iranian South Oil Company in Gachsaran by Using Artificial Neural Networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kiani, Hamed Moradi, S. Robert Soulgani, Bahram Soltani Mousavian, Seyedamirabbas |
| Copyright Year | 2013 |
| 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. Keywords—Desalting unit, Crude oil, Neural Networks, Simulation, Recovery, Separation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://waset.org/publications/9996850/study-of-a-crude-oil-desalting-plant-of-the-national-iranian-south-oil-company-in-gachsaran-by-using-artificial-neural-networks |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
