Digital Petrographic Approach to Carbonate Reservoir Evaluation in MATLAB.
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| Title: | Digital Petrographic Approach to Carbonate Reservoir Evaluation in MATLAB. |
|---|---|
| Alternate Title: | Digitalni petrografski pristup procjeni karbonatnih ležišta u MATLAB-u. |
| Authors: | Ariyanti, Nita1,2 nitaariyanti@mail.ugm.ac.id, Surjono, Sugeng Sapto1 sugengssurjono@ugm.ac.id, Husein, Salahuddin1 shddin@ugm.ac.id, Alfany, Marsha Khairia2 marshafany17@gmail.com, Syaifuddin, Firman2 firman@geofisika.its.ac.id, Mashudi, M. Irfan3 irfan.mashudi@pertamina.com |
| Source: | Rudarsko-Geološko-Naftni Zbornik. 2026, Vol. 41 Issue 4, p1-12. 12p. |
| Subject Terms: | *Porosity, *Carbonate reservoirs, *Petrology, *Image analysis |
| Reviews & Products: | MatLab (Computer software) |
| Abstract (English): | Porosity is a crucial parameter in the characterization of carbonate reservoirs, as it directly influences fluid storage and flow behaviour. Conventional techniques for porosity assessment, such as core analysis and well logging, are often labour-intensive, time-consuming, and costly. This study proposes an automated method for porosity estimation through petrography and image analysis techniques using MATLAB. Thin-section photographs of carbonate rocks are processed through image segmentation, feature extraction, and classification procedures to quantitatively determine porosity. The estimation process relies on RGB-based image analysis, in which variations in colour intensity between the rock matrix and pore spaces are used to distinguish pore regions accurately. The RGB image analysis approach in MATLAB achieves an accuracy of 60.9% when compared with Routine Core Analysis (RCAL) data, indicating a strong correlation between the estimated and measured porosity values. This digital petrography method demonstrates higher accuracy and consistency than conventional manual image analysis, which is often influenced by human interpretation and subjectivity. By automating the image processing workflow, the method enables objective, rapid, and cost-effective porosity estimation. Despite the absence of complex computational algorithms, the MATLAB-based digital petrography technique provides a reliable and efficient alternative for preliminary carbonate reservoir characterization, especially when laboratory or well-log data are limited. [ABSTRACT FROM AUTHOR] |
| Abstract (Bosnian): | Poroznost je ključni parametar u karakterizaciji karbonatnih ležišta jer izravno utječe na skladištenje fluida i ponašanje toka. Konvencionalne tehnike za procjenu poroznosti, poput analize jezgre i bušotinske karotaže, često zahtijevaju mnogo posla te su dugotrajne i skupe. U ovome je radu predložena automatizirana metoda za procjenu poroznosti pomoću tehnika analize petrografskih podataka i slika korištenjem računalnoga programa MATLAB. Fotografije tankih presjeka karbonatnih stijena obrađuju se postupcima segmentacije slike, uočavanja značajki i klasifikacije kako bi se kvantitativno odredila poroznost. Proces procjene oslanja se na RGB analizu slike, u kojoj se za precizno razlikovanje pornih područja koriste razlike u intenzitetu boje između stijenske matrice i pornih prostora. Pristupom RGB analize slike u MATLAB-u postiže se točnost od 60,9 % u usporedbi s podatcima rutinske analize jezgre (RCAL), što upućuje na snažnu korelaciju između procijenjenih i izmjerenih vrijednosti poroznosti. Ova metoda digitalne petrografije pokazuje veću točnost i konzistentnost od konvencionalne ručne analize slike, na koju često utječu ljudska interpretacija i subjektivnost. Automatizacijom procesa obrade slike metoda omogućuje objektivnu, brzu i isplativu procjenu poroznosti. Unatoč nedostatku složenih računalnih algoritama tehnika digitalne petrografije temeljena na MATLAB-u pruža pouzdanu i učinkovitu alternativu za preliminarnu karakterizaciju karbonatnih ležišta, posebice u slučajevima kada su laboratorijski podatci ili podatci iz karotažnih mjerenja ograničeni. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 195911876 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Digital Petrographic Approach to Carbonate Reservoir Evaluation in MATLAB. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Digitalni petrografski pristup procjeni karbonatnih ležišta u MATLAB-u. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ariyanti%2C+Nita%22">Ariyanti, Nita</searchLink><relatesTo>1,2</relatesTo><i> nitaariyanti@mail.ugm.ac.id</i><br /><searchLink fieldCode="AR" term="%22Surjono%2C+Sugeng+Sapto%22">Surjono, Sugeng Sapto</searchLink><relatesTo>1</relatesTo><i> sugengssurjono@ugm.ac.id</i><br /><searchLink fieldCode="AR" term="%22Husein%2C+Salahuddin%22">Husein, Salahuddin</searchLink><relatesTo>1</relatesTo><i> shddin@ugm.ac.id</i><br /><searchLink fieldCode="AR" term="%22Alfany%2C+Marsha+Khairia%22">Alfany, Marsha Khairia</searchLink><relatesTo>2</relatesTo><i> marshafany17@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Syaifuddin%2C+Firman%22">Syaifuddin, Firman</searchLink><relatesTo>2</relatesTo><i> firman@geofisika.its.ac.id</i><br /><searchLink fieldCode="AR" term="%22Mashudi%2C+M%2E+Irfan%22">Mashudi, M. Irfan</searchLink><relatesTo>3</relatesTo><i> irfan.mashudi@pertamina.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Rudarsko-Geološko-Naftni+Zbornik%22">Rudarsko-Geološko-Naftni Zbornik</searchLink>. 2026, Vol. 41 Issue 4, p1-12. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Porosity%22">Porosity</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbonate+reservoirs%22">Carbonate reservoirs</searchLink><br />*<searchLink fieldCode="DE" term="%22Petrology%22">Petrology</searchLink><br />*<searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Porosity is a crucial parameter in the characterization of carbonate reservoirs, as it directly influences fluid storage and flow behaviour. Conventional techniques for porosity assessment, such as core analysis and well logging, are often labour-intensive, time-consuming, and costly. This study proposes an automated method for porosity estimation through petrography and image analysis techniques using MATLAB. Thin-section photographs of carbonate rocks are processed through image segmentation, feature extraction, and classification procedures to quantitatively determine porosity. The estimation process relies on RGB-based image analysis, in which variations in colour intensity between the rock matrix and pore spaces are used to distinguish pore regions accurately. The RGB image analysis approach in MATLAB achieves an accuracy of 60.9% when compared with Routine Core Analysis (RCAL) data, indicating a strong correlation between the estimated and measured porosity values. This digital petrography method demonstrates higher accuracy and consistency than conventional manual image analysis, which is often influenced by human interpretation and subjectivity. By automating the image processing workflow, the method enables objective, rapid, and cost-effective porosity estimation. Despite the absence of complex computational algorithms, the MATLAB-based digital petrography technique provides a reliable and efficient alternative for preliminary carbonate reservoir characterization, especially when laboratory or well-log data are limited. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Bosnian) Group: Ab Data: Poroznost je ključni parametar u karakterizaciji karbonatnih ležišta jer izravno utječe na skladištenje fluida i ponašanje toka. Konvencionalne tehnike za procjenu poroznosti, poput analize jezgre i bušotinske karotaže, često zahtijevaju mnogo posla te su dugotrajne i skupe. U ovome je radu predložena automatizirana metoda za procjenu poroznosti pomoću tehnika analize petrografskih podataka i slika korištenjem računalnoga programa MATLAB. Fotografije tankih presjeka karbonatnih stijena obrađuju se postupcima segmentacije slike, uočavanja značajki i klasifikacije kako bi se kvantitativno odredila poroznost. Proces procjene oslanja se na RGB analizu slike, u kojoj se za precizno razlikovanje pornih područja koriste razlike u intenzitetu boje između stijenske matrice i pornih prostora. Pristupom RGB analize slike u MATLAB-u postiže se točnost od 60,9 % u usporedbi s podatcima rutinske analize jezgre (RCAL), što upućuje na snažnu korelaciju između procijenjenih i izmjerenih vrijednosti poroznosti. Ova metoda digitalne petrografije pokazuje veću točnost i konzistentnost od konvencionalne ručne analize slike, na koju često utječu ljudska interpretacija i subjektivnost. Automatizacijom procesa obrade slike metoda omogućuje objektivnu, brzu i isplativu procjenu poroznosti. Unatoč nedostatku složenih računalnih algoritama tehnika digitalne petrografije temeljena na MATLAB-u pruža pouzdanu i učinkovitu alternativu za preliminarnu karakterizaciju karbonatnih ležišta, posebice u slučajevima kada su laboratorijski podatci ili podatci iz karotažnih mjerenja ograničeni. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17794/rgn.2026.4.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Porosity Type: general – SubjectFull: Carbonate reservoirs Type: general – SubjectFull: Petrology Type: general – SubjectFull: Image analysis Type: general – SubjectFull: MatLab (Computer software) Type: general Titles: – TitleFull: Digital Petrographic Approach to Carbonate Reservoir Evaluation in MATLAB. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ariyanti, Nita – PersonEntity: Name: NameFull: Surjono, Sugeng Sapto – PersonEntity: Name: NameFull: Husein, Salahuddin – PersonEntity: Name: NameFull: Alfany, Marsha Khairia – PersonEntity: Name: NameFull: Syaifuddin, Firman – PersonEntity: Name: NameFull: Mashudi, M. Irfan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03534529 Numbering: – Type: volume Value: 41 – Type: issue Value: 4 Titles: – TitleFull: Rudarsko-Geološko-Naftni Zbornik Type: main |
| ResultId | 1 |
