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Advanced Processing of 2D Marine Reflection Seismic Data Using the Common Reflection Surface (CRS) Stack Method with K-L Filter Application: Pengolahan Lanjut Data Seismik Refleksi 2D Lait Menggunakan Metode Common Reflection Surface (CRS) Stack dengan Penerapan KL-Filter

JURNAL GEOCELEBES · Vol. 7 No. 2 (2023) · pp. 168–175

DOI
10.20956/geocelebes.v7i2.22588
ISSN
2579-5546, 2579-5821
Published
2023-11-02
Publisher
Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar
Language
en

Abstract

Data processing using the seismic reflection method is an important stage in the exploration of natural resources and minerals. This research was conducted to determine the effective and efficient stacking and filtering methods in reconstructing the subsurface geological structure of the earth from the results of data processing using ProMAX software. The data processing method used is the conventional stack and the Common Reflection Surface (CRS) stack. Aperture values of 0 ms – 50 m and 3000 ms – 150 m in the CRS stack process produce the most optimum seismic sections. Both methods produce a different quality of seismic cross-section display. The 2D cross-section model from the conventional stack method looks noisier than the results from the CRS stack method. In addition, the reflector pattern on the cross-section of the results of the CRS stack method is clearer and visible with a relatively large amplitude compared to the results of the conventional stack method. To maximize the quality of data display, data enhancement is applied, which is the K-L filter. The eigenimages value of 0.10% on the K-L filter with a horizontal window width of 120 is used to reduce random noise. Thus, an increase in the S/N ratio will be obtained in the seismic data so that the 2D cross-sectional model of the seismic reflection method can approach the original conditions of the subsurface geological structure.

Keywords

Collaboration network of the authors

19 authors · 43 co-authorship links

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  • Sunan Kalijaga State Islamic University Yogyakarta
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad NurulAffiliation unknown1
Ida Bagus Suananda YogiAffiliation unknown1
Aprillia YulianataAffiliation unknown1
Aisah YuliantinaAffiliation unknown1
Ilham DaniAffiliation unknown1
Ambrosius Hernawan WibisonoAffiliation unknown1
Restu Wildanu AhadiAffiliation unknown1
Sultan Al GhifariAffiliation unknown1
Fahruddin FahruddinSunan Kalijaga State Islamic University Yogyakarta1
Ferdio ValentinAffiliation unknown1
Theressia Githa AuroraAffiliation unknown1
Jesica NurlailiAffiliation unknown1
Harnanti Yogaputri HutamiAffiliation unknown1
Chikita Mery YulianiAffiliation unknown1
Renita Dwi VadilaAffiliation unknown1
Mokhammad Puput ErlanggaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/geocelebes/oai, first harvested 3 Nov 2026, last seen 3 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Advanced Processing of 2D Marine Reflection Seismic Data Using the Common Reflection Surface (CRS) Stack Method with K-L Filter Application: Pengolahan Lanjut Data Seismik Refleksi 2D Lait Menggunakan Metode Common Reflection Surface (CRS) Stack dengan Penerapan KL-Filter</dc:title>
	<dc:creator xml:lang="en">Zein, Emir Dzakwan Kamal</dc:creator>
	<dc:creator xml:lang="en">Rasimeng, Syamsurijal</dc:creator>
	<dc:creator xml:lang="en">Wijaksono, Egie</dc:creator>
	<dc:subject xml:lang="en">conventional stack</dc:subject>
	<dc:subject xml:lang="en">common reflection surface stack</dc:subject>
	<dc:subject xml:lang="en">K-L Filter</dc:subject>
	<dc:description xml:lang="en">Data processing using the seismic reflection method is an important stage in the exploration of natural resources and minerals. This research was conducted to determine the effective and efficient stacking and filtering methods in reconstructing the subsurface geological structure of the earth from the results of data processing using ProMAX software. The data processing method used is the conventional stack and the Common Reflection Surface (CRS) stack. Aperture values of 0 ms – 50 m and 3000 ms – 150 m in the CRS stack process produce the most optimum seismic sections. Both methods produce a different quality of seismic cross-section display. The 2D cross-section model from the conventional stack method looks noisier than the results from the CRS stack method. In addition, the reflector pattern on the cross-section of the results of the CRS stack method is clearer and visible with a relatively large amplitude compared to the results of the conventional stack method. To maximize the quality of data display, data enhancement is applied, which is the K-L filter. The eigenimages value of 0.10% on the K-L filter with a horizontal window width of 120 is used to reduce random noise. Thus, an increase in the S/N ratio will be obtained in the seismic data so that the 2D cross-sectional model of the seismic reflection method can approach the original conditions of the subsurface geological structure.</dc:description>
	<dc:publisher xml:lang="en">Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar</dc:publisher>
	<dc:date>2023-11-02</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.unhas.ac.id/index.php/geocelebes/article/view/22588</dc:identifier>
	<dc:identifier>10.20956/geocelebes.v7i2.22588</dc:identifier>
	<dc:source xml:lang="en">JURNAL GEOCELEBES; Vol. 7 No. 2: October 2023; 168–175</dc:source>
	<dc:source>2579-5546</dc:source>
	<dc:source>2579-5821</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/geocelebes/article/view/22588/10411</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 JURNAL GEOCELEBES</dc:rights>
</oai_dc:dc>