Analysis of Production Logging Data to Develop a Model to Predict Pressure Drop in Perforated Gas Condensate Wells
Accurate prediction of pressure drop in perforated wells with a high fluid flow rate is a challenge in production engineering calculations. In this study, production logging data obtained from an Iranian gas condensate field were analyzed to develop a model to predict the pressure drop in perforated...
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Published in | Petroleum science and technology Vol. 29; no. 16; pp. 1722 - 1732 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Colchester
Taylor & Francis Group
01.01.2011
Taylor & Francis |
Subjects | |
Online Access | Get full text |
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Summary: | Accurate prediction of pressure drop in perforated wells with a high fluid flow rate is a challenge in production engineering calculations. In this study, production logging data obtained from an Iranian gas condensate field were analyzed to develop a model to predict the pressure drop in perforated wells. To calculate the pressure drop due to the friction in the perforated section of the wall, a relation between perforation friction factor, pipe and wall Reynolds number, and Moody friction factor was developed by means of nonlinear regression. Perforation effects were also considered in total pressure drop, which occur due to the mixing of axial and radial momentum fluxes in the perforated section. The results predicted by our developed model showed good agreement with the measured production logging data from the studied field within 14% error. This model can be used to accurately estimate the well performance curve. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1091-6466 1532-2459 |
DOI: | 10.1080/10916461003620420 |