Production Optimization Through Surface Facilities Modification in Condensate Gas Field
Gas field X has been producing since August 1990 and this field is considered as a giant wet gas field with potential reserve initial gas in place is around 15 TCF (trillion cubic feet). This field consists of production wells that have pipeline network which transports production fluid from product...
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id-itb.:113472017-09-27T10:37:31ZProduction Optimization Through Surface Facilities Modification in Condensate Gas Field ARBI HALASAN SITORUS (NIM 12204068), RUDY Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11347 Gas field X has been producing since August 1990 and this field is considered as a giant wet gas field with potential reserve initial gas in place is around 15 TCF (trillion cubic feet). This field consists of production wells that have pipeline network which transports production fluid from production well to Gathering and Testing Station. This paper discuss about optimization gas flow rate that perform in wet gas field pipeline network and GTS (Gathering and Testing Station) pressure. Optimum results depend on modeling and procedure. The procedures consist of (1) collecting data, (2) sorting data, (3) modeling and validation, (4) optimization and simulation result analysis, (5) recommendation. Through this study, total gas flow rate can be predicted then the method used to optimize wet gas field can be determined. text |
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Gas field X has been producing since August 1990 and this field is considered as a giant wet gas field with potential reserve initial gas in place is around 15 TCF (trillion cubic feet). This field consists of production wells that have pipeline network which transports production fluid from production well to Gathering and Testing Station. This paper discuss about optimization gas flow rate that perform in wet gas field pipeline network and GTS (Gathering and Testing Station) pressure. Optimum results depend on modeling and procedure. The procedures consist of (1) collecting data, (2) sorting data, (3) modeling and validation, (4) optimization and simulation result analysis, (5) recommendation. Through this study, total gas flow rate can be predicted then the method used to optimize wet gas field can be determined. |
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Final Project |
author |
ARBI HALASAN SITORUS (NIM 12204068), RUDY |
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ARBI HALASAN SITORUS (NIM 12204068), RUDY Production Optimization Through Surface Facilities Modification in Condensate Gas Field |
author_facet |
ARBI HALASAN SITORUS (NIM 12204068), RUDY |
author_sort |
ARBI HALASAN SITORUS (NIM 12204068), RUDY |
title |
Production Optimization Through Surface Facilities Modification in Condensate Gas Field |
title_short |
Production Optimization Through Surface Facilities Modification in Condensate Gas Field |
title_full |
Production Optimization Through Surface Facilities Modification in Condensate Gas Field |
title_fullStr |
Production Optimization Through Surface Facilities Modification in Condensate Gas Field |
title_full_unstemmed |
Production Optimization Through Surface Facilities Modification in Condensate Gas Field |
title_sort |
production optimization through surface facilities modification in condensate gas field |
url |
https://digilib.itb.ac.id/gdl/view/11347 |
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