QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA)
Jonggrangan Formation is characterized by major occurrence of reef limestone and small portion of bioclastic limestone that were well exposed at Samigaluh Area, Kulon Progo Regency, Daerah Istimewa Yogyakarta Province. These carbonates have a wide variety of pore systems...
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Format: | Article |
Language: | English |
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Departmen Teknik Geologi
2015
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Online Access: | https://repository.ugm.ac.id/135428/1/GEO34%20QUANTITATIVE%20CHARACTERIZATION%20OF%20CARBONATE%20PORE%20SYSTEMS%20ON%20JONGGRANGAN%20FORMATION%20USING%20DIGITAL%20IMAGE%20ANALYSIS%20%28DIA%29.pdf |
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author | Ari, Wibowo Nana Higiana, Hasanah |
author_facet | Ari, Wibowo Nana Higiana, Hasanah |
author_sort | Ari, Wibowo |
collection | UGM |
description | Jonggrangan Formation is characterized by major occurrence of reef limestone and small portion of
bioclastic limestone that were well exposed at Samigaluh Area, Kulon Progo Regency, Daerah
Istimewa Yogyakarta Province. These carbonates have a wide variety of pore systems that imprint
different petrophysical properties, which are more difficult to predict than in siliciclastics. Digital
Image Analysis (DIA) can be applied to response the carbonates complexity by calculating pore value
and also characterizing the pore shape in digital form. The method is based on images from rock thin
sections taken under an optical microscope (OM) and also core analysis results to be compared.
Sixteen rock thin section samples have been analyzed with several observation representatively in
order to mitigate the effect of area selection problems. Blue-dyed liquid also has been added to those
thin section samples, so the pore could be identified clearly. Based on further examination, both
primary and secondary pore systems are well developed. There are six pore shapes are identified
within different pore values. Crossplots of pore values indicate the pore variety depends on several
rock parameters. In summary, understanding characterization of carbonate pore system on
Jonggrangan Formation by using DIA method is fast and accurate, useful to encourage and enrich
carbonate petrophysical analysis concept. |
first_indexed | 2024-03-13T23:44:56Z |
format | Article |
id | oai:generic.eprints.org:135428 |
institution | Universiti Gadjah Mada |
language | English |
last_indexed | 2024-03-13T23:44:56Z |
publishDate | 2015 |
publisher | Departmen Teknik Geologi |
record_format | dspace |
spelling | oai:generic.eprints.org:1354282015-12-30T01:54:36Z https://repository.ugm.ac.id/135428/ QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) Ari, Wibowo Nana Higiana, Hasanah Geology Jonggrangan Formation is characterized by major occurrence of reef limestone and small portion of bioclastic limestone that were well exposed at Samigaluh Area, Kulon Progo Regency, Daerah Istimewa Yogyakarta Province. These carbonates have a wide variety of pore systems that imprint different petrophysical properties, which are more difficult to predict than in siliciclastics. Digital Image Analysis (DIA) can be applied to response the carbonates complexity by calculating pore value and also characterizing the pore shape in digital form. The method is based on images from rock thin sections taken under an optical microscope (OM) and also core analysis results to be compared. Sixteen rock thin section samples have been analyzed with several observation representatively in order to mitigate the effect of area selection problems. Blue-dyed liquid also has been added to those thin section samples, so the pore could be identified clearly. Based on further examination, both primary and secondary pore systems are well developed. There are six pore shapes are identified within different pore values. Crossplots of pore values indicate the pore variety depends on several rock parameters. In summary, understanding characterization of carbonate pore system on Jonggrangan Formation by using DIA method is fast and accurate, useful to encourage and enrich carbonate petrophysical analysis concept. Departmen Teknik Geologi 2015-10-16 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/135428/1/GEO34%20QUANTITATIVE%20CHARACTERIZATION%20OF%20CARBONATE%20PORE%20SYSTEMS%20ON%20JONGGRANGAN%20FORMATION%20USING%20DIGITAL%20IMAGE%20ANALYSIS%20%28DIA%29.pdf Ari, Wibowo and Nana Higiana, Hasanah (2015) QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA). PROCEEDING, SEMINAR NASIONAL KEBUMIAN KE-8 Academia-Industry Linkage 15-16 OKTOBER 2015; GRHA SABHA PRAMANA. |
spellingShingle | Geology Ari, Wibowo Nana Higiana, Hasanah QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) |
title | QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON
JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) |
title_full | QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON
JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) |
title_fullStr | QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON
JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) |
title_full_unstemmed | QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON
JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) |
title_short | QUANTITATIVE CHARACTERIZATION OF CARBONATE PORE SYSTEMS ON
JONGGRANGAN FORMATION USING DIGITAL IMAGE ANALYSIS (DIA) |
title_sort | quantitative characterization of carbonate pore systems on jonggrangan formation using digital image analysis dia |
topic | Geology |
url | https://repository.ugm.ac.id/135428/1/GEO34%20QUANTITATIVE%20CHARACTERIZATION%20OF%20CARBONATE%20PORE%20SYSTEMS%20ON%20JONGGRANGAN%20FORMATION%20USING%20DIGITAL%20IMAGE%20ANALYSIS%20%28DIA%29.pdf |
work_keys_str_mv | AT ariwibowo quantitativecharacterizationofcarbonateporesystemsonjonggranganformationusingdigitalimageanalysisdia AT nanahigianahasanah quantitativecharacterizationofcarbonateporesystemsonjonggranganformationusingdigitalimageanalysisdia |