Interpreting Reservoir Permeabilities from Wireline Formation Test Data

In order to provide accurate permeabilities of reservoirs for productivity estimate in offshore oil fields, in this study a semianalytical model of unsteady ellipsoidal flow and a numerical simulation algorithm have been developed to interpret wireline formation test data. The model is derived from...

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Veröffentlicht in:Petroleum science and technology Jg. 31; H. 18; S. 1819 - 1826
Hauptverfasser: Du, H., Liu, Y., Li, X., Guan, F., Sui, X.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Colchester Taylor & Francis Group 17.09.2013
Taylor & Francis
Schlagworte:
Algorithms
Anisotropy
Applied sciences
Crude oil, natural gas and petroleum products
Energy
Exact sciences and technology
Fuels
Mathematical models
numerical simulation algorithm
Offshore drilling rigs
Permeability
permeability interpretation
Petroleum products, gas and fuels. Motor fuels, lubricants and asphalts
Porous media
Processing of crude oil and oils from shales and tar sands. Processes. Equipment. Refinery and treatment units
Reservoirs
semi-analytical model
Unsteady
unsteady ellipsoidal flow
wireline formation test
numerical simulation algorithm
wireline formation test
permeability interpretation
semi-analytical model
unsteady ellipsoidal flow
ISSN:1091-6466, 1532-2459
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In order to provide accurate permeabilities of reservoirs for productivity estimate in offshore oil fields, in this study a semianalytical model of unsteady ellipsoidal flow and a numerical simulation algorithm have been developed to interpret wireline formation test data. The model is derived from basic principles of fluid mechanics in porous medium, and the time variation of test flows and anisotropy of formations are both taken into account. The approaches had been applied successfully to interpreting the test data of a new pumpout wireline formation tester, and the results show the validity of the new method presented.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1091-6466
1532-2459
DOI:10.1080/10916466.2011.603009