Development and identification of petrophysical rock typing for effective reservoir characterization

Rock typing is an essential tool used to distribute reservoir rock and fluid properties in reservoir models. It provides more accurate estimates of oil reserves during field studies and prediction of reservoir performance. These properties are required inputs for static and dynamic models to populat...

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Main Author:	Bior Barach, Bior Atem
Format:	Thesis
Language:	English
Published:	2019
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/85780/1/BiorAtemBiorMSChE2019.pdf
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spelling	my-utm-ep.857802020-07-30T07:34:15Z Development and identification of petrophysical rock typing for effective reservoir characterization 2019-05 Bior Barach, Bior Atem TP Chemical technology Rock typing is an essential tool used to distribute reservoir rock and fluid properties in reservoir models. It provides more accurate estimates of oil reserves during field studies and prediction of reservoir performance. These properties are required inputs for static and dynamic models to populate porosity, permeability, and shale volume which influence reservoir productivity. During field development studies (FDP), the technical main aim is to design a fit for purpose project within budget to produce commercial volume of hydrocarbons in the field and reduce residual oil in the reservoirs. However, geomodellers frequently faced challenges in integrating geological facies with rock characteristics and fluid flow to predict petrophysical properties due to limited correlation between geological features and engineering concepts. This thesis examined Petrophysics rock types based rock classification scheme by comparing the approaches using rock samples. Among the trimmed approaches are Hydraulic Flow Unit(HFU), Global Hydraulic Elements(GHE), Winland R35, Pore Geometry Structure (PGS). Also presented is the use of electrical and nuclear log data obtained from the well Neutron-Density to produce relationships that tie pore geometric attributes, pore structures, and hydraulic flow characteristics. The study selected Hydraulic Units and GHE methods among others to be robust in Rock Typing based on consistencies observed between porosity and permeability relationships in typical clastics reservoirs. Thus, it reduces the uncertainties in reservoir models. Using capillary data to derive saturation height functions, the Hydraulic units demonstrated consistent results of rock types that integrates geological description with engineering hydraulic features. 2019-05 Thesis http://eprints.utm.my/id/eprint/85780/ http://eprints.utm.my/id/eprint/85780/1/BiorAtemBiorMSChE2019.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Chemical & Energy Engineering Faculty of Engineering - School of Chemical & Energy Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Bior Barach, Bior Atem Development and identification of petrophysical rock typing for effective reservoir characterization
description	Rock typing is an essential tool used to distribute reservoir rock and fluid properties in reservoir models. It provides more accurate estimates of oil reserves during field studies and prediction of reservoir performance. These properties are required inputs for static and dynamic models to populate porosity, permeability, and shale volume which influence reservoir productivity. During field development studies (FDP), the technical main aim is to design a fit for purpose project within budget to produce commercial volume of hydrocarbons in the field and reduce residual oil in the reservoirs. However, geomodellers frequently faced challenges in integrating geological facies with rock characteristics and fluid flow to predict petrophysical properties due to limited correlation between geological features and engineering concepts. This thesis examined Petrophysics rock types based rock classification scheme by comparing the approaches using rock samples. Among the trimmed approaches are Hydraulic Flow Unit(HFU), Global Hydraulic Elements(GHE), Winland R35, Pore Geometry Structure (PGS). Also presented is the use of electrical and nuclear log data obtained from the well Neutron-Density to produce relationships that tie pore geometric attributes, pore structures, and hydraulic flow characteristics. The study selected Hydraulic Units and GHE methods among others to be robust in Rock Typing based on consistencies observed between porosity and permeability relationships in typical clastics reservoirs. Thus, it reduces the uncertainties in reservoir models. Using capillary data to derive saturation height functions, the Hydraulic units demonstrated consistent results of rock types that integrates geological description with engineering hydraulic features.
format	Thesis
qualification_level	Master's degree
author	Bior Barach, Bior Atem
author_facet	Bior Barach, Bior Atem
author_sort	Bior Barach, Bior Atem
title	Development and identification of petrophysical rock typing for effective reservoir characterization
title_short	Development and identification of petrophysical rock typing for effective reservoir characterization
title_full	Development and identification of petrophysical rock typing for effective reservoir characterization
title_fullStr	Development and identification of petrophysical rock typing for effective reservoir characterization
title_full_unstemmed	Development and identification of petrophysical rock typing for effective reservoir characterization
title_sort	development and identification of petrophysical rock typing for effective reservoir characterization
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Chemical & Energy Engineering
granting_department	Faculty of Engineering - School of Chemical & Energy Engineering
publishDate	2019
url	http://eprints.utm.my/id/eprint/85780/1/BiorAtemBiorMSChE2019.pdf
_version_	1747818454484779008

Development and identification of petrophysical rock typing for effective reservoir characterization

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