A Practical Methodology for Production Data Analysis in Carbonate Reservoirs Using New Decline Type Curves
Joint Authors
Jia, Zhihao
Cheng, Linsong
Wang, Suran
Jia, Pin
Wang, Peng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-08
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Carbonate reservoirs typically have complex pore structures, so the production wells typically have high production in the early production stage, but they decline rapidly.
It is highly challenging to achieve accurate interpretation results.
In this paper, a new and practical methodology for production data analysis of fractured and fractured-vuggy carbonate reservoirs is proposed.
Firstly, analytical solutions to characterize the different multipore media and simulate transient production behavior of fractured and fractured-vuggy carbonate reservoirs during the transient flow regime are presented.
Then, a new function fqD and f′qD that related to the dimensionless production rate is introduced, and a series of new decline type curves are drawn to make a clear observation of different flow regimes.
In addition, the effects of the storativity ratio, interporosity flow coefficient, skin factor, and dimensionless radial distance of external boundary on production performance are also analyzed.
Finally, two example wells from the fractured and fractured-vuggy carbonate reservoirs are used to perform rate decline analysis with both the Blasingame type curves and the new type curves.
The validation of the new method is demonstrated in comparison to the results of well test interpretation.
The results show that the curves of 1/f′qD vs.
tD are ∧-shaped for dual-porosity reservoirs and M-shaped for triple porosity reservoirs and also indicate that the interpreted parameters such as permeability, skin factor, storativity ratio, and interporosity flow coefficient using new decline type curves are aligned well test interpretation.
In correlation with other traditional well test analysis, this approach effectively reduces the multisolution probability of interpretation.
American Psychological Association (APA)
Jia, Zhihao& Cheng, Linsong& Wang, Peng& Wang, Suran& Jia, Pin. 2020. A Practical Methodology for Production Data Analysis in Carbonate Reservoirs Using New Decline Type Curves. Geofluids،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1159391
Modern Language Association (MLA)
Jia, Zhihao…[et al.]. A Practical Methodology for Production Data Analysis in Carbonate Reservoirs Using New Decline Type Curves. Geofluids No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1159391
American Medical Association (AMA)
Jia, Zhihao& Cheng, Linsong& Wang, Peng& Wang, Suran& Jia, Pin. A Practical Methodology for Production Data Analysis in Carbonate Reservoirs Using New Decline Type Curves. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1159391
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1159391