Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

A Case Study of Primary and Secondary Porosity Effect for Permeability Value in Carbonate Reservoir using Differential Effective Medium and Adaptive Neuro-Fuzzy Inference System Method

Scientific Contributions Oil and Gas · Vol. 45 No. 1 (2022) · hlm. 13–22

DOI
10.29017/SCOG.45.1.923
ISSN
2541-0520, 2089-3361
Terbit
2022-04-01
Penerbit
Testing Center for Oil and Gas LEMIGAS
Bahasa
eng
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Pore system in a carbonate reservoir is very complex compared to the pore system in clastic rocks. According to measurements of the velocity propagation of sonic waves in rocks, there are three types of carbonate pore classifi cations: Interpartikel, Vugs and Crack. Due to the complexity of various pore types, errors in reservoir calculation or interpretation might occur. It was making the characterization of the carbonate reservoir more challenging. Differential Effective Medium (DEM) is an elastic modulus modeling method that considers the heterogeneity of pores in the carbonate reservoir. This method adds pore-type inclusions gradually into the host material to the desired proportion of the material. In this research, elastic modulus modeling will be carried out by taking into account the pore complexity of the carbonate reservoir. ANFIS algorithm will also be used in this study to predict the permeability value of the reservoir. Data from well logging measurements will be used as the input, and core data from laboratory will be used as train data to validate prediction results of permeability values in the well depths domain. So, permeability value and pore type variations in the well depth domain will be obtained.

Kata kunci

Jaringan kolaborasi para penulis

33 penulis · 66 tautan kepenulisan bersama · 8 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Bandung Institute of Technology
  • Pertamina (Indonesia)
  • Tanri Abeng University
  • Islamic University of Riau
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Fahrizal MaulanaBandung Institute of Technology2
Dedy IrawanBandung Institute of Technology2
Kamal HamzahAfiliasi tidak diketahui2
Mohammed Sheikh Salem Al-AttasAfiliasi tidak diketahui1
Jalest SeptianoBandung Institute of Technology1
Silvya Dewi RahmawatiBandung Institute of Technology1
Farrah MaurenzaBandung Institute of Technology1
Iswara Lumban TungkupBandung Institute of Technology1
Joe Felix TurnipBandung Institute of Technology1
Sri Dwi MustaqimBandung Institute of Technology1
Zuher SyihabBandung Institute of Technology1
Prasandi Abdul AzizBandung Institute of Technology1
Syifa DestianaBandung Institute of Technology1
Ika MerdekawatiBandung Institute of Technology1
Tutuka AriadjiBandung Institute of Technology1
Rian Cahya RohmanaTanri Abeng University1
Dedy IrawanBandung Institute of Technology1
Jeffier WinartaAfiliasi tidak diketahui1
Fajril AmbiaIslamic University of Riau1
Jeffier WinartaBandung Institute of Technology1
Dedy IrawanBandung Institute of Technology1
Roihan NirwanaBandung Institute of Technology1
Syarif Fikri KamalAfiliasi tidak diketahui1
Welly Ahmad RamadanAfiliasi tidak diketahui1
Adam MuhammadBandung Institute of Technology1
Tjok Gede SatryanggaAfiliasi tidak diketahui1
Amritzar AimarAfiliasi tidak diketahui1
Seno KushidayatAfiliasi tidak diketahui1
KarnandoBandung Institute of Technology1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.lemigas.esdm.go.id/index.php/SCOG/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">A Case Study of Primary and Secondary Porosity Effect for Permeability Value in Carbonate Reservoir using Differential Effective Medium and Adaptive Neuro-Fuzzy Inference System Method</dc:title>
	<dc:creator xml:lang="en">Wardhana, Reza</dc:creator>
	<dc:creator xml:lang="en">Yasutra, Amega</dc:creator>
	<dc:creator xml:lang="en">Irawan, Dedy</dc:creator>
	<dc:creator xml:lang="en">Haidar, Mochammad Wahdanadi</dc:creator>
	<dc:subject xml:lang="en">Differential Effective Medium (DEM)</dc:subject>
	<dc:subject xml:lang="en">ANFIS Algorithm</dc:subject>
	<dc:subject xml:lang="en">Pore Type</dc:subject>
	<dc:subject xml:lang="en">Permeability</dc:subject>
	<dc:subject xml:lang="en">Carbonate Reservoir</dc:subject>
	<dc:description xml:lang="en">Pore system in a carbonate reservoir is very complex compared to the pore system in clastic rocks. According to measurements of the velocity propagation of sonic waves in rocks, there are three types of carbonate pore classifi cations: Interpartikel, Vugs and Crack. Due to the complexity of various pore types, errors in reservoir calculation or interpretation might occur. It was making the characterization of the carbonate reservoir more challenging. Differential Effective Medium (DEM) is an elastic modulus modeling method that considers the heterogeneity of pores in the carbonate reservoir. This method adds pore-type inclusions gradually into the host material to the desired proportion of the material. In this research, elastic modulus modeling will be carried out by taking into account the pore complexity of the carbonate reservoir. ANFIS algorithm will also be used in this study to predict the permeability value of the reservoir. Data from well logging measurements will be used as the input, and core data from laboratory will be used as train data to validate prediction results of permeability values in the well depths domain. So, permeability value and pore type variations in the well depth domain will be obtained.</dc:description>
	<dc:publisher xml:lang="en">Testing Center for Oil and Gas LEMIGAS</dc:publisher>
	<dc:date>2022-04-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.lemigas.esdm.go.id/index.php/SCOG/article/view/923</dc:identifier>
	<dc:identifier>10.29017/SCOG.45.1.923</dc:identifier>
	<dc:source xml:lang="en">Scientific Contributions Oil and Gas; Vol. 45 No. 1 (2022); 13-22</dc:source>
	<dc:source xml:lang="id">Scientific Contributions Oil and Gas; Vol 45 No 1 (2022); 13-22</dc:source>
	<dc:source>2541-0520</dc:source>
	<dc:source>2089-3361</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.lemigas.esdm.go.id/index.php/SCOG/article/view/923/716</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 © Copyright by Authors. Published by LEMIGAS</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>