Comparative permeability estimation method and identification of rock types using cluster analysis from well logs and core analysis data in tertiary carbonate reservoir-Khabaz oil field
Other Title(s)
مقارنه طرق تخمين النفاذية و تشخيص نوعيات الصخور اعتمادا على التحليل الاحصائي العنقودي باستخدام بيانات مجسات الأبار و تحاليل اللباب للمكمن الثلاثي في حقل خباز النفطي
Joint Authors
Abd, Adnan Ajam
Hamad Allah, Samirah Muhammad
Source
Issue
Vol. 25, Issue 12 (31 Dec. 2019), pp.49-61, 13 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2019-12-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Earth Sciences, Water and Environment
Materials Science , Minerals
Topics
Abstract EN
Characterization of the heterogonous reservoir is complex representation and evaluation of petrophysical properties and application of the relationships between porosity-permeability within the framework of hydraulic flow units is used to estimate permeability in un-cored wells.
Techniques of flow unit or hydraulic flow unit (HFU) divided the reservoir into zones laterally and vertically which can be managed and control fluid flow within flow unit and considerably is entirely different with other flow units through reservoir.
Each flow unit can be distinguished by applying the relationships of flow zone indicator (FZI) method.
Supporting the relationship between porosity and permeability by using flow zone indictor is carried out for evaluating the reservoir quality and identification of flow unit used in reservoir zonation.
In this study, flow zone indicator has been used to identify five layers belonging to Tertiary reservoirs.
Consequently, the porosity-permeability cross plot has been done depending on FZI values as groups and for each group denoted to reservoir rock types.
On the other hand, extending rock type identification in un-cored wells should apply a cluster analysis approach by using well logs data.
Reservoir zonation has been achieved by cluster analysis approach and for each group known as cluster which variation and different with others.
Five clusters generated in this study and permeability estimated depend on these groups in un-cored wells by using well log data that gives good results compared with different empirical methods.
American Psychological Association (APA)
Abd, Adnan Ajam& Hamad Allah, Samirah Muhammad. 2019. Comparative permeability estimation method and identification of rock types using cluster analysis from well logs and core analysis data in tertiary carbonate reservoir-Khabaz oil field. Journal of Engineering،Vol. 25, no. 12, pp.49-61.
https://search.emarefa.net/detail/BIM-910769
Modern Language Association (MLA)
Abd, Adnan Ajam& Hamad Allah, Samirah Muhammad. Comparative permeability estimation method and identification of rock types using cluster analysis from well logs and core analysis data in tertiary carbonate reservoir-Khabaz oil field. Journal of Engineering Vol. 25, no. 12 (Dec. 2019), pp.49-61.
https://search.emarefa.net/detail/BIM-910769
American Medical Association (AMA)
Abd, Adnan Ajam& Hamad Allah, Samirah Muhammad. Comparative permeability estimation method and identification of rock types using cluster analysis from well logs and core analysis data in tertiary carbonate reservoir-Khabaz oil field. Journal of Engineering. 2019. Vol. 25, no. 12, pp.49-61.
https://search.emarefa.net/detail/BIM-910769
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 61
Record ID
BIM-910769