Development prediction and the theoretical analysis in the ultra-high water cut stage for water-flooding sandstone reservoirs

A new relationship between the ratio of water and oil relative permeability, and the water saturation is proposed based on the flow characteristic in porous media in the ultra-high water cut stage which results in a new water flooding characteristic curve with reservoir engineering method. Then a ne...

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Bibliographic Details
Published inJournal of petroleum exploration and production technology Vol. 7; no. 1; pp. 103 - 109
Main Authors Xu, Jianpeng, Cui, Chuanzhi, Ding, Zhiying, Xu, Peng, Yao, Ronghua, Wang, Peng
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2017
Springer Nature B.V
Subjects
Algorithms
Earth and Environmental Science
Earth Sciences
Economic forecasting
Energy Systems
Engineering
Flooding
Gasoline
Geology
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Mathematical analysis
Mathematical models
Monitoring/Environmental Analysis
Offshore Engineering
Oil recovery
Original Paper - Production Engineering
Permeability
Petroleum industry
Petroleum production
Porous media
Reserves
Reservoirs
Saturation
Simulation
Studies
Welge equation
Ultra-high water cut
Production decline law
New flow characteristic relationship
Prediction
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Summary:A new relationship between the ratio of water and oil relative permeability, and the water saturation is proposed based on the flow characteristic in porous media in the ultra-high water cut stage which results in a new water flooding characteristic curve with reservoir engineering method. Then a new algorithm to forecast development indexes is derived on the basis of the new relationship above, the new water flooding characteristic curve and the production decline law using Welge equation in which there are many parameters including time, water cut, the average water saturation and the oil recovery that can be used to evaluate the recoverable reserve. Through the examinations with the numerical simulation method and the on-site application, it shows that the new algorithm can give an accurate prediction with an relative error less than 6 %, which is instructive for the oil field development.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2190-0558
2190-0566
DOI:10.1007/s13202-016-0245-7