Melola Discovery

← Melola Discovery

Jurnal

Identification of Hydrocarbon Reservoir Distribution Using Seismic Attributes: RMS Amplitude and Sweetness in the Bani Field, South Sumatra Basin

Rekayasa · Vol. 21 No. 2 (2023) · hlm. 79–89

DOI
10.15294/rekayasa.v21i2.20846
ISSN
2527-6964, 0216-6631
Terbit
2023-12-31
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The Bani Field is in the South Sumatra basin, which is considered to have potential hydrocarbon reserves. The seismic reflection method is one method that can be used to describe geological conditions. In addition, this method is also able to provide analyses related to the presence of hydrocarbon reserves in the form of oil and gas, where one of the analyses that can be used is seismic attributes. In this study, the seismic attributes used are the RMS Amplitude and the Sweetness attribute, both of which play a role in identifying subsurface structures and determining hydrocarbon indicators. This study was conducted to analyze the results of the application of the RMS amplitude attribute and the sweetness attribute in determining the distribution of hydrocarbon reservoirs and analyzing the results of the application of the variance attribute in detecting the fault structure of the Bani Field. From the results of the analysis using the RMS amplitude attribute, the Batu Raja Formation layer describes a good response with a yellow to reddish brown color scale with a value scale between 220,000 to 320,000 ms, while the Talang Akar Formation layer describes a good response with a value scale of 160,000 to 240,000 ms. The analysis using the sweetness attribute confirmed the interpretation of the RMS amplitude attribute, indicating the presence of hydrocarbons, as depicted by the sweet spot region. Meanwhile, the geometrical attribute analysis used, namely structural smoothing and variance attributes, helped map structures and identify faults.

Kata kunci

Jaringan kolaborasi para penulis

16 penulis · 40 tautan kepenulisan bersama · 9 lintas organisasi

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

  • State University of Semarang
  • Universitas Gadjah Mada
  • Meteorological, Climatological, And Geophysical Agency
  • 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
Ryan SulaimanState University of Semarang2
Desi Mustami Limayukha Desi Mustami LimayukhaAfiliasi tidak diketahui1
Elsa Fadlika Widyantari Elsa Fadlika WidyantariAfiliasi tidak diketahui1
Rahmania Sofyana Ulya Rahmania Sofyana UlyaAfiliasi tidak diketahui1
Nugroho Budi WibowoMeteorological, Climatological, And Geophysical Agency1
Billqis El Farsiyyi Bilqis El FarsiyyiState University of Semarang1
Ilqia Rahma Ilqia RahmaState University of Semarang1
Mochamad Aryono AdhiState University of Semarang1
Alifa Tri HandayaniState University of Semarang1
Sudarmaji SarojiUniversitas Gadjah Mada1
Nivan Ramadhan SugiantoroUniversitas Gadjah Mada1
S.Si. SudarmajiAfiliasi tidak diketahui1
Tabah Fatchur RubiyanaUniversitas Gadjah Mada1

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.unnes.ac.id/journals/rekayasa/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 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">Identification of Hydrocarbon Reservoir Distribution Using Seismic Attributes: RMS Amplitude and Sweetness in the Bani Field, South Sumatra Basin</dc:title>
	<dc:creator xml:lang="en">Tamba, Shallsa Bella. W</dc:creator>
	<dc:creator xml:lang="en">Adhi, M. Aryono </dc:creator>
	<dc:creator xml:lang="en">Nurcahya, Budi Eka </dc:creator>
	<dc:subject xml:lang="en">Envelope</dc:subject>
	<dc:subject xml:lang="en">Seismic Attributes</dc:subject>
	<dc:subject xml:lang="en">Subsurface Structures</dc:subject>
	<dc:subject xml:lang="en">Batu Raja Formation</dc:subject>
	<dc:subject xml:lang="en">Geological</dc:subject>
	<dc:description xml:lang="en">The Bani Field is in the South Sumatra basin, which is considered to have potential hydrocarbon reserves. The seismic reflection method is one method that can be used to describe geological conditions. In addition, this method is also able to provide analyses related to the presence of hydrocarbon reserves in the form of oil and gas, where one of the analyses that can be used is seismic attributes. In this study, the seismic attributes used are the RMS Amplitude and the Sweetness attribute, both of which play a role in identifying subsurface structures and determining hydrocarbon indicators. This study was conducted to analyze the results of the application of the RMS amplitude attribute and the sweetness attribute in determining the distribution of hydrocarbon reservoirs and analyzing the results of the application of the variance attribute in detecting the fault structure of the Bani Field. From the results of the analysis using the RMS amplitude attribute, the Batu Raja Formation layer describes a good response with a yellow to reddish brown color scale with a value scale between 220,000 to 320,000 ms, while the Talang Akar Formation layer describes a good response with a value scale of 160,000 to 240,000 ms. The analysis using the sweetness attribute confirmed the interpretation of the RMS amplitude attribute, indicating the presence of hydrocarbons, as depicted by the sweet spot region. Meanwhile, the geometrical attribute analysis used, namely structural smoothing and variance attributes, helped map structures and identify faults.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2023-12-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/rekayasa/article/view/20846</dc:identifier>
	<dc:identifier>10.15294/rekayasa.v21i2.20846</dc:identifier>
	<dc:source xml:lang="en">Rekayasa; Vol. 21 No. 2 (2023); 79-89</dc:source>
	<dc:source>2527-6964</dc:source>
	<dc:source>0216-6631</dc:source>
	<dc:source>10.15294/rekayasa.v21i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/rekayasa/article/view/20846/5550</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran</dc:rights>
</oai_dc:dc>