Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling

Several methodologies published in the literature can be used to construct realistic pore networks for simple rocks, whereas in complex pore geometry formations, as formed in tight reservoirs, such a construction still remains a challenge. A basic understanding of pore structure and topology is esse...

Full description

Bibliographic Details
Main Authors: Faisal Alreshedan, Apostolos Kantzas
Format: Article
Language:English
Published: Reaserch Institute of Petroleum Industry 2016-01-01
Series:Journal of Petroleum Science and Technology
Subjects:
Online Access:https://jpst.ripi.ir/article_566_813003faea1e6cdd0c2322e304b5089f.pdf
id doaj-8006cbe5270648d09fa7dfc004049b09
record_format Article
spelling doaj-8006cbe5270648d09fa7dfc004049b092020-11-25T01:08:22ZengReaserch Institute of Petroleum IndustryJournal of Petroleum Science and Technology2251-659X2645-33122016-01-0161284510.22078/jpst.2016.566566Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network ModelingFaisal Alreshedan0Apostolos Kantzas1Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, Canada1-Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, Canada 2-PERM Inc. TIPM Laboratory, Calgary, CanadaSeveral methodologies published in the literature can be used to construct realistic pore networks for simple rocks, whereas in complex pore geometry formations, as formed in tight reservoirs, such a construction still remains a challenge. A basic understanding of pore structure and topology is essential to overcome the challenges associated with the pore scale modeling of tight porous media. A stochastic random generation algorithm was employed to assess the effects of certain pore structure and geometries on the estimation of petrophysical and electrical properties of tight media through physically realistic 3D random networks. A Weibull truncated equation was used to predict the distribution of network pores and throats. An equivalent 3D pore network of Berea Sandstone was generated based on published pore and throat size distributions. The estimated porosity, absolute permeability, and formation factor of the reconstructed pore network are in good agreement with published laboratory measurements. Moreover, the estimated drainage and imbibition relative permeability curves are in a good match with corresponding experimental relative permeability curves. Subsequently, the effect of pore structure on basic core properties is evaluated by varying the Berea network pore size, throat size, and coordination number (connectivity) distributions. Finally, the effect of pore and throat geometries on two phase flow properties is investigated. The study shows the importance of taking into consideration the internal pore structure for petrophysical and electrical properties estimation.https://jpst.ripi.ir/article_566_813003faea1e6cdd0c2322e304b5089f.pdftight media3d random networkweibull truncated equationberea sandstonepore structure and geometries
collection DOAJ
language English
format Article
sources DOAJ
author Faisal Alreshedan
Apostolos Kantzas
spellingShingle Faisal Alreshedan
Apostolos Kantzas
Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling
Journal of Petroleum Science and Technology
tight media
3d random network
weibull truncated equation
berea sandstone
pore structure and geometries
author_facet Faisal Alreshedan
Apostolos Kantzas
author_sort Faisal Alreshedan
title Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling
title_short Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling
title_full Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling
title_fullStr Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling
title_full_unstemmed Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling
title_sort sensitivity analysis of the effect of pore structure and geometry on petrophysical and electrical properties of tight media: random network modeling
publisher Reaserch Institute of Petroleum Industry
series Journal of Petroleum Science and Technology
issn 2251-659X
2645-3312
publishDate 2016-01-01
description Several methodologies published in the literature can be used to construct realistic pore networks for simple rocks, whereas in complex pore geometry formations, as formed in tight reservoirs, such a construction still remains a challenge. A basic understanding of pore structure and topology is essential to overcome the challenges associated with the pore scale modeling of tight porous media. A stochastic random generation algorithm was employed to assess the effects of certain pore structure and geometries on the estimation of petrophysical and electrical properties of tight media through physically realistic 3D random networks. A Weibull truncated equation was used to predict the distribution of network pores and throats. An equivalent 3D pore network of Berea Sandstone was generated based on published pore and throat size distributions. The estimated porosity, absolute permeability, and formation factor of the reconstructed pore network are in good agreement with published laboratory measurements. Moreover, the estimated drainage and imbibition relative permeability curves are in a good match with corresponding experimental relative permeability curves. Subsequently, the effect of pore structure on basic core properties is evaluated by varying the Berea network pore size, throat size, and coordination number (connectivity) distributions. Finally, the effect of pore and throat geometries on two phase flow properties is investigated. The study shows the importance of taking into consideration the internal pore structure for petrophysical and electrical properties estimation.
topic tight media
3d random network
weibull truncated equation
berea sandstone
pore structure and geometries
url https://jpst.ripi.ir/article_566_813003faea1e6cdd0c2322e304b5089f.pdf
work_keys_str_mv AT faisalalreshedan sensitivityanalysisoftheeffectofporestructureandgeometryonpetrophysicalandelectricalpropertiesoftightmediarandomnetworkmodeling
AT apostoloskantzas sensitivityanalysisoftheeffectofporestructureandgeometryonpetrophysicalandelectricalpropertiesoftightmediarandomnetworkmodeling
_version_ 1725182969413369856