Estimation of sour natural gas water content
In this paper a new method based an artificial neural network (ANN) for prediction of naturalgas mixture watercontent (NGMWC) is presented. H2S mole fraction, temperature, and pressure have been input variables of the network and NGMWC has been set as network output. Among the 136 data set 80 data h...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier B.V.
2010
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/26170/ http://dx.doi.org/10.1016/j.petrol.2010.05.018 |
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