Permeability Prediction By Classical and Flow Zone Indictor (FZI) Methods for an Iraqi Gas Field

Authors

  • Waffa Mustafa Al-Qattan Petroleum Engineering Department, College of Engineering, University of Baghdad, Baghdad, Iraq
  • Ahmed Habeeb Al Mohammed Petroleum Engineering Department, College of Engineering, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.31699/IJCPE.2017.3.5

Keywords:

permeability, FZI method

Abstract

The permeability is the most important parameter that indicates how efficient the reservoir fluids flow through the rock pores to the wellbore. Well-log evaluation and core measurements techniques are typically used to estimate it. In this paper, the permeability has been predicted by using classical and Flow zone indicator methods. A comparison between the two methods shows the superiority of the FZI method correlations, these correlations can be used to estimate permeability in un-cored wells with a good approximation.

References

Taslimi,M.,Bohloli,B.,Kazemzad, E and Kamali, M.R,"Determining Rock Mass Permeability in a Carbonate Reservoir, Southern Iran Using Hydraulic Flow Unitsand Intelligent Systems", College of Science, University of Tehran, Research Institute of Petroleum Technology, N.I.O, 2ndedtion,UK, (2008).

Balan,B.,Mohaghegh,S.andAmeri,S., "State - Of - The - Artin Permability Determination From Well Log Data : Part 1- A Comparative Study, Model Development",SPE30978,WestVirginia,U.S.A. ,(1995).

Semmelbeck,M.E.and Diyashev,I.R., "Application of Permlog–A New Log Based Permeability Estimation Method", SPE35650,Calgry,(1996).

Lim,S.J. and Kim,J. ,"Reservoir Porosity and Permeability Estimation from Well Logs using Fuzzy Logic and Neural Networks",SPE 88476 , (2004).

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Published

2017-09-30

Issue

Vol. 18 No. 3 (2017): Iraqi Journal of Chemical and Petroleum Engineering

Section

Articles

License

Copyright (c) 2023 Iraqi Journal of Chemical and Petroleum Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Al-Qattan, W. M., & Al Mohammed, A. H. (2017). Permeability Prediction By Classical and Flow Zone Indictor (FZI) Methods for an Iraqi Gas Field. Iraqi Journal of Chemical and Petroleum Engineering, 18(3), 59-65. https://doi.org/10.31699/IJCPE.2017.3.5

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