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A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data

This study outstretches a new method to specify the heterogeneity of the studied reservoir by combining BHI (Borehole Image Log) and conventional log data for 4 existing wells. The first step to achieve this goal was utilizing borehole electrical images to assess the quantity of vugs/modals fraction...

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Main Authors: Tadayoni, Mehdi, Khalilbeyg, Mahmoudreza, Junin, Radzuan
Format: Article
Language:English
Published: Springer 2020
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/89890/1/RadzuanJunin2020_ANewApproachtoHeterogeneityAnalysis.pdf
http://eprints.utm.my/id/eprint/89890/
http://dx.doi.org/10.1007/s13202-020-00930-4
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spelling my.utm.898902021-03-04T02:45:38Z http://eprints.utm.my/id/eprint/89890/ A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data Tadayoni, Mehdi Khalilbeyg, Mahmoudreza Junin, Radzuan TP Chemical technology This study outstretches a new method to specify the heterogeneity of the studied reservoir by combining BHI (Borehole Image Log) and conventional log data for 4 existing wells. The first step to achieve this goal was utilizing borehole electrical images to assess the quantity of vugs/modals fraction and porosity distribution. Spectrum porosity was calculated through probabilistic analysis based on core and FMI data which has specified two general types of porosity in studied field as primary porosity (microporosities and intercrystalline) and secondary porosity (vugs). Due to irregular dispersion, non-categorization, and scattering of the porosity–permeability graph obtained from laboratory core data, next step was using petrophysical image facies prediction for generating an electrical facies to incorporate the different reservoir quality. This lithology (litho types) is produced by BHI analysis which reflects geological and petrophysical properties of the field. Then a porosity–permeability cross-plot has been made based on core data and produced facies codes which build in the previous step to check the validity of BHI Facies code extraction. Finally, heterogeneity analysis has been done through an innovative step-by-step workflow to determine spectrum porosity log which is divided into 6 categories/portions as Resistive, Matrix, Isolated, Connected, Bed boundaries and Fractures porosity. Springer 2020-10 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89890/1/RadzuanJunin2020_ANewApproachtoHeterogeneityAnalysis.pdf Tadayoni, Mehdi and Khalilbeyg, Mahmoudreza and Junin, Radzuan (2020) A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data. Journal of Petroleum Exploration and Production Technology, 10 (7). pp. 2613-2629. ISSN 2190-0558 http://dx.doi.org/10.1007/s13202-020-00930-4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Tadayoni, Mehdi
Khalilbeyg, Mahmoudreza
Junin, Radzuan
A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
description This study outstretches a new method to specify the heterogeneity of the studied reservoir by combining BHI (Borehole Image Log) and conventional log data for 4 existing wells. The first step to achieve this goal was utilizing borehole electrical images to assess the quantity of vugs/modals fraction and porosity distribution. Spectrum porosity was calculated through probabilistic analysis based on core and FMI data which has specified two general types of porosity in studied field as primary porosity (microporosities and intercrystalline) and secondary porosity (vugs). Due to irregular dispersion, non-categorization, and scattering of the porosity–permeability graph obtained from laboratory core data, next step was using petrophysical image facies prediction for generating an electrical facies to incorporate the different reservoir quality. This lithology (litho types) is produced by BHI analysis which reflects geological and petrophysical properties of the field. Then a porosity–permeability cross-plot has been made based on core data and produced facies codes which build in the previous step to check the validity of BHI Facies code extraction. Finally, heterogeneity analysis has been done through an innovative step-by-step workflow to determine spectrum porosity log which is divided into 6 categories/portions as Resistive, Matrix, Isolated, Connected, Bed boundaries and Fractures porosity.
format Article
author Tadayoni, Mehdi
Khalilbeyg, Mahmoudreza
Junin, Radzuan
author_facet Tadayoni, Mehdi
Khalilbeyg, Mahmoudreza
Junin, Radzuan
author_sort Tadayoni, Mehdi
title A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
title_short A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
title_full A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
title_fullStr A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
title_full_unstemmed A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
title_sort new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
publisher Springer
publishDate 2020
url http://eprints.utm.my/id/eprint/89890/1/RadzuanJunin2020_ANewApproachtoHeterogeneityAnalysis.pdf
http://eprints.utm.my/id/eprint/89890/
http://dx.doi.org/10.1007/s13202-020-00930-4
_version_ 1693725960883404800
score 13.211869

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