Studi Evaluasi Korelasi FAN (2005) Dalam Memodelkan Kehilangan Tekanan Pada Pipa Alir Horizontal Sumur Geothermal Dominasi Uap di Lapangan X
Modelling of pressure loss in multiphase flow is important in pipeline design at geothermal wells with steam dominated fluid. The models are always applied in field but limited in publications. Pressure loss models in gheotermal wells also often adopt the pressure loss models in hydrocarbon system....
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/45261 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Modelling of pressure loss in multiphase flow is important in pipeline design at geothermal wells with steam dominated fluid. The models are always applied in field but limited in publications. Pressure loss models in gheotermal wells also often adopt the pressure loss models in hydrocarbon system. In this study, Fan correlation (2005) is used to predict pressure loss in pipeline of steam dominated gheotermal well.
Fan correlation (2005) is one of the proved correlation that can model pressure loss in oil-gas fluid system in horizontal pipe, expecially in stratified flow. This correlation focus on determining liquid holdup by doing iteration with the liquid holdup value is defined in small number ( ). Fan correlation will be simulated to predict pressure loss in gheotermal pipeline with steam dominated and validated with X Field data in pipeline pressure specifically in 18 horizontal pipeline sub-segmen.
From this study, Fan correlation make a good pressure loss modelling in pipeline with inclination about . Higher inclination in pipe, make the pressure loss prediction is more smaller than the measured data. In higher inclination, the error become bigger. It happen because of the characteristics of Fan (2005) that developed in horizontal/ near horizontal pipe.
Performance of Fan (2005) in predicting pressure loss is also compared with other popular correlations in pressure loss modelling. There are Harrison dan Freeston (1979), Lockhart dan Martinelli (1949), Duns dan Ros (1963), dan Hagedorn dan Brown (1965). This comparation is done by calculating statistics parameter called by Relative Performance Factor . In this case, Fan correlation make the smallest number of about 0.02.Based on this, Fan correlation is the best correlation relatively to others correlation with certain data coverage in this study. |
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