Permeability prediction using hydraulic flow units and electrofacies analysis

It is essential to characterize fluid flow in porous media to have a better understanding of petrophysical properties. Many approaches were developed to determine reservoir permeability among which the integrated analysis of hydraulic flow unit (HFU) and electrofacies (EF) is considered to be useful...

Full description

Bibliographic Details
Main Authors: Bhatti, A.A., Ismail, A., Raza, A., Gholami, Raoof, Rezaee, Reza, Nagarajan, Nagarajan, Saffou, E.
Format: Journal Article
Published: 2020
Online Access:http://hdl.handle.net/20.500.11937/89553
_version_ 1848765243662008320
author Bhatti, A.A.
Ismail, A.
Raza, A.
Gholami, Raoof
Rezaee, Reza
Nagarajan, Nagarajan
Saffou, E.
author_facet Bhatti, A.A.
Ismail, A.
Raza, A.
Gholami, Raoof
Rezaee, Reza
Nagarajan, Nagarajan
Saffou, E.
author_sort Bhatti, A.A.
building Curtin Institutional Repository
collection Online Access
description It is essential to characterize fluid flow in porous media to have a better understanding of petrophysical properties. Many approaches were developed to determine reservoir permeability among which the integrated analysis of hydraulic flow unit (HFU) and electrofacies (EF) is considered to be useful one. However, the application of HFU and EF analysis has not been totally understood with a limited data to develop correlation for less distance offset wells. In this study, an attempt was made to show the application of integrating HFU and EF for reliable estimation of permeability using core and wireline log data in one of the gas fields in Pakistan. The results obtained indicate that the integrated approach proposed in this study can be used, especially in less distance offset wells when a limited number of data are available for petrophysical characterization.
first_indexed 2025-11-14T11:32:09Z
format Journal Article
id curtin-20.500.11937-89553
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:32:09Z
publishDate 2020
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-895532023-01-18T07:01:13Z Permeability prediction using hydraulic flow units and electrofacies analysis Bhatti, A.A. Ismail, A. Raza, A. Gholami, Raoof Rezaee, Reza Nagarajan, Nagarajan Saffou, E. It is essential to characterize fluid flow in porous media to have a better understanding of petrophysical properties. Many approaches were developed to determine reservoir permeability among which the integrated analysis of hydraulic flow unit (HFU) and electrofacies (EF) is considered to be useful one. However, the application of HFU and EF analysis has not been totally understood with a limited data to develop correlation for less distance offset wells. In this study, an attempt was made to show the application of integrating HFU and EF for reliable estimation of permeability using core and wireline log data in one of the gas fields in Pakistan. The results obtained indicate that the integrated approach proposed in this study can be used, especially in less distance offset wells when a limited number of data are available for petrophysical characterization. 2020 Journal Article http://hdl.handle.net/20.500.11937/89553 10.1016/j.engeos.2020.04.003 http://creativecommons.org/licenses/by-nc-nd/4.0/ fulltext
spellingShingle Bhatti, A.A.
Ismail, A.
Raza, A.
Gholami, Raoof
Rezaee, Reza
Nagarajan, Nagarajan
Saffou, E.
Permeability prediction using hydraulic flow units and electrofacies analysis
title Permeability prediction using hydraulic flow units and electrofacies analysis
title_full Permeability prediction using hydraulic flow units and electrofacies analysis
title_fullStr Permeability prediction using hydraulic flow units and electrofacies analysis
title_full_unstemmed Permeability prediction using hydraulic flow units and electrofacies analysis
title_short Permeability prediction using hydraulic flow units and electrofacies analysis
title_sort permeability prediction using hydraulic flow units and electrofacies analysis
url http://hdl.handle.net/20.500.11937/89553