Permeability prediction for Nahr-Umr reservoir Subba field by using FZI method
Other Title(s)
حساب النفاذيه لمكمن نهر عمر حقل صبه باستخدام طريقة FZI
Joint Authors
Nur, Basim Muhammad
Watan, Ahmad Radi
Hamad Allah, Samirah Muhammad
Source
Issue
Vol. 22, Issue 9 (30 Sep. 2016), pp.160-171, 12 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2016-09-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
The permeability determination in the reservoirs that are anisotropic and heterogeneous is a complicated problem due to the limited number of wells that contain core samples and well test data.
This paper presents hydraulic flow units and flow zone indicator for predicting permeability of rock mass from core for Nahr-Umr reservoir/ Subba field.
The Permeability measurement is better found in the laboratory work on the cored rock that taken from the formation.
Nahr-Umr Formation is the main lower cretaceous sandstone reservoir in southern of Iraq.
This formation is made up mainly of sandstone.
Nahr-Umr formation was deposited on a gradually rising basin floor.
The digenesis of Nahr-Umr sediments is very important due to its direct relation to the porosity and permeability.
In this study permeability has been predicated by using the flow zone indicator methods.
This method attempts to identify the flow zone indicator in un-cored wells using log records.
Once the flow zone indicator is calculated from the core data, a relationship between this FZI value and the well logs can be obtained.
Three relationships have been found for Nahr-Umr reservoir/Subba field by FZI method.
By plotting the permeability of the core versus the permeability that is predicted by FZI method the parameter R2 was found (0.905) which is very good for predict the permeability.
American Psychological Association (APA)
Hamad Allah, Samirah Muhammad& Nur, Basim Muhammad& Watan, Ahmad Radi. 2016. Permeability prediction for Nahr-Umr reservoir Subba field by using FZI method. Journal of Engineering،Vol. 22, no. 9, pp.160-171.
https://search.emarefa.net/detail/BIM-709832
Modern Language Association (MLA)
Hamad Allah, Samirah Muhammad…[et al.]. Permeability prediction for Nahr-Umr reservoir Subba field by using FZI method. Journal of Engineering Vol. 22, no. 9 (Sep. 2016), pp.160-171.
https://search.emarefa.net/detail/BIM-709832
American Medical Association (AMA)
Hamad Allah, Samirah Muhammad& Nur, Basim Muhammad& Watan, Ahmad Radi. Permeability prediction for Nahr-Umr reservoir Subba field by using FZI method. Journal of Engineering. 2016. Vol. 22, no. 9, pp.160-171.
https://search.emarefa.net/detail/BIM-709832
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 166-171
Record ID
BIM-709832