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The Dependence of Water and Gas Breakthrough on the Choice of Model Parameters in Naturally Fractured Reservoirs Using Sector and Full Reservoir Models.

Authors :
Mahmood, Barham Sabir
Awl, Mohammed Jamal
Khoshnaw, Farhad Abdulrahman
Source :
Kurdistan Journal of Applied Research (KJAR); Jun2024, Vol. 9 Issue 1, p24-37, 14p
Publication Year :
2024

Abstract

Assessing fractures in carbonate reservoirs is crucial due to their substantial impact on reservoir permeability. Understanding the characteristics of these fractures is vital for optimizing oil production. Additionally, extremely heterogeneous and anisotropic permeability distribution within the natural fractured reservoir is often caused by the complexity of a fracture network. Therefore, accurate reservoir modelling and simulation must be conducted in order to achieve ultimate recovery. In this paper a sector model has been developed based on the studied example field, its results are compared with the full reservoir model to find out the degree of resemblance between their outputs. The study area has four natural fracture compartments, with an average reservoir height of 95m and water/oil contact (WOC) and gas/oil contact (GOC) depths of 685 m and 590 m, respectively. A dual-porosity with single-permeability modelling system was used to simulate the properties of the reservoir rock. This model was derived from the Petrel layercake model. A sensitivity analysis was also carried out to look into the relationships between field performance and the well. The outcomes of both models demonstrated that matrix permeability and fracture dimension had a significant impact on the early breakthrough of water and gas to comparable huge extents. While other factors, such as aquifer size and WOC, show a moderate impact on water and gas breakthrough as well as final recovery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24117684
Volume :
9
Issue :
1
Database :
Complementary Index
Journal :
Kurdistan Journal of Applied Research (KJAR)
Publication Type :
Academic Journal
Accession number :
179302697
Full Text :
https://doi.org/10.24017/science.2024.1.11