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Journal of Porous Media
Factor de Impacto: 1.752 Factor de Impacto de 5 años: 1.487 SJR: 0.43 SNIP: 0.762 CiteScore™: 2.3

ISSN Imprimir: 1091-028X
ISSN En Línea: 1934-0508

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Journal of Porous Media

DOI: 10.1615/JPorMedia.2019025067
pages 957-973


Craig D. Marshall
National Engineering Laboratory (NEL), Glasgow, UK; Fluid and Complex Systems Research Centre, Coventry University, Coventry, UK
Mahdi Sadri
Fluid and Complex Systems Research Centre, Coventry University, Coventry, UK
Hamidreza Hamdi
University of Calgary, Calgary, Canada
Seyed M. Shariatipour
Fluid and Complex Systems Research Centre, Coventry University, Coventry, UK
Wai Kong Lee
National Engineering Laboratory (NEL), Glasgow, UK
Alun L. Thomas
National Engineering Laboratory (NEL), Glasgow, UK
James Shaw-Stewart
University of Warwick, Coventry, UK


In terms of maximizing economic recovery (MER) in the United Kingdom Continental Shelf (UKCS), the measurement of well production rates is essential to optimize the hydrocarbon production strategy from within the well itself. This is achieved through a process called a well test in which a snapshot of production is monitored by measurement equipment and instrumentation. The data collected are then used to characterize the reservoir near the wells and to optimize the wells' production rates. However, the measurement accuracy required to provide sufficient control has not been established, and there is little information in the public domain that shows what the current typical operational measurement uncertainty is. Given that modeling and reservoir management are highly dependent on these measurements, the allowable uncertainty must be known to fully assess whether the equipment and the methodology of verifying the measurements are fit for purpose. This paper details an investigation of the effects of flow measurement errors on interpreting well testing data and estimating the recoverable reserves. In addition, current MER strategies for the UKCS are discussed, and the importance of using downhole flow measurement data in well testing for MER has been emphasized.


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