Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/94638
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Type: Conference paper
Title: Determining rate profile in gas wells from pressure and temperature depth distributions
Author: Barrett, E.
Abbasy, I.
Wu, C.R.
You, Z.
Bedrikovetsky, P.
Citation: Society of Petroleum Engineers - International Petroleum Technology Conference 2013, IPTC 2013: Challenging Technology and Economic Limits to Meet the Global Energy Demand, 2013 / vol.6, pp.4679-4685
Publisher: International Petroleum Technology Conference
Issue Date: 2013
ISBN: 9781627481762
Conference Name: 2013 International Petroleum Technology Conference (26 Mar 2013 - 28 Mar 2013 : Beijing, China)
Statement of
Responsibility: 
E. Barrett, I. Abbasy, C.-R. Wu, Z. You, P. Bedrikovetsky
Abstract: Gas flow profile along the wellbore is an important piece of information for reservoir and production management purposes, since it provides flow contribution from each producing interval along the wellbore, which is critical for optimizing well performance and maximizing recovery of reserves. Traditional methods are expensive, particularly in high temperature wells and involve running production logsging tools (PLT's) along with flowmeters. Deployment of production logging tools into a well can be operationally difficult and typically requires flow to be suspended temporarily to allow the tools to be run in hole. This can have a negative impact on the quality of data collected, potentially making it un-representative of normal producing conditions. A simple and effective method of the gas rate prediction from temperature and pressure data is discussed in this paper. Solving the inverse problem allows determination of the flow rate and thermal conductivity of the formation by matching the gas pressure and temperature distributions with measured profiles. The results of field data treatment show good agreement with the model prediction and are consistent with flowmeter (PLT) data. Besides, the approximate estimate from direct averaging using the measured data shows good accuracy of rate and thermal conductivity prediction.
Description: Document ID IPTC-17041-MS
Rights: Copyright 2013 International Petroleum Technology Conference
RMID: 0030007720
DOI: 10.2523/17041-MS
Appears in Collections:Australian School of Petroleum publications

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