A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt

Abstract Fifteen surface sandstone samples of Late Cretaceous age were compiled from Wadi Kareem area in Eastern Desert, Egypt. Samples were subjected to permeability and porosity measurements to show their distributions and possibility of separating them into different hydraulic flow units. It is k...

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Main Author: Osama M. Elnaggar
Format: Article
Language:English
Published: SpringerOpen 2017-12-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:http://link.springer.com/article/10.1007/s13202-017-0418-z
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spelling doaj-a7c1a81c6441479d80718bbf27ecca5e2020-11-25T01:31:59ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662017-12-018367768310.1007/s13202-017-0418-zA new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, EgyptOsama M. Elnaggar0Production Department, Egyptian Petroleum Research Institute (EPRI)Abstract Fifteen surface sandstone samples of Late Cretaceous age were compiled from Wadi Kareem area in Eastern Desert, Egypt. Samples were subjected to permeability and porosity measurements to show their distributions and possibility of separating them into different hydraulic flow units. It is known that hydraulic flow unit is a volume of rock within a reservoir that has petrophysical and lithological attributes that affect flow properties and differ from those of surrounding units. It was found out that the normal application of Amaefuleʼs hydraulic flow unit approach using the relation of normalized porosity index (ϕ Z) versus reservoir quality index (RQI) and FZI values at (ϕ Z) = 1 leads to deviation of predicted permeability from the measured one in case of scattered data of (ϕ Z-RQI) relation having a unit slope trend line. In the present study, the additional new processing leads to close matching between the measured and predicted permeability, hence reservoir description improvement. This is simply done through differentiation of all samples that lie on the unit slope trend line and those lie scattered on both sides of it, into three sub-flow units regardless their slopes and the use of (FZI) arithmetic average for each sub-unit instead of that at (ϕ Z) = 1. Permeability prediction has been improved after applying the new additional processing. Capillary pressure-derived parameters for some selected samples as micropores, mesopores, and macropores, used to support the new concept .http://link.springer.com/article/10.1007/s13202-017-0418-zNew processingPermeabilityPredictionFlow units
collection DOAJ
language English
format Article
sources DOAJ
author Osama M. Elnaggar
spellingShingle Osama M. Elnaggar
A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt
Journal of Petroleum Exploration and Production Technology
New processing
Permeability
Prediction
Flow units
author_facet Osama M. Elnaggar
author_sort Osama M. Elnaggar
title A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt
title_short A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt
title_full A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt
title_fullStr A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt
title_full_unstemmed A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt
title_sort new processing for improving permeability prediction of hydraulic flow units, nubian sandstone, eastern desert, egypt
publisher SpringerOpen
series Journal of Petroleum Exploration and Production Technology
issn 2190-0558
2190-0566
publishDate 2017-12-01
description Abstract Fifteen surface sandstone samples of Late Cretaceous age were compiled from Wadi Kareem area in Eastern Desert, Egypt. Samples were subjected to permeability and porosity measurements to show their distributions and possibility of separating them into different hydraulic flow units. It is known that hydraulic flow unit is a volume of rock within a reservoir that has petrophysical and lithological attributes that affect flow properties and differ from those of surrounding units. It was found out that the normal application of Amaefuleʼs hydraulic flow unit approach using the relation of normalized porosity index (ϕ Z) versus reservoir quality index (RQI) and FZI values at (ϕ Z) = 1 leads to deviation of predicted permeability from the measured one in case of scattered data of (ϕ Z-RQI) relation having a unit slope trend line. In the present study, the additional new processing leads to close matching between the measured and predicted permeability, hence reservoir description improvement. This is simply done through differentiation of all samples that lie on the unit slope trend line and those lie scattered on both sides of it, into three sub-flow units regardless their slopes and the use of (FZI) arithmetic average for each sub-unit instead of that at (ϕ Z) = 1. Permeability prediction has been improved after applying the new additional processing. Capillary pressure-derived parameters for some selected samples as micropores, mesopores, and macropores, used to support the new concept .
topic New processing
Permeability
Prediction
Flow units
url http://link.springer.com/article/10.1007/s13202-017-0418-z
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