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Pseudo-3D Depth Reconstruction from Multi-Vintage 2D and 3D Seismic Data in The Offshore Southeast Sumatra

Scientific Contributions Oil and Gas · Vol. 49 No. 2 (2026) · hlm. 593–608

DOI
10.29017/scog.v49i2.2110
ISSN
2541-0520, 2089-3361
Terbit
2026-06-29
Penerbit
Testing Center for Oil and Gas LEMIGAS
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The availability of legacy 2D seismic data in many mature basins offers an opportunity to generate 3D-like subsurface images without the need for expensive 3D seismic acquisition. This study proposes and demonstrates a workflow to construct a pseudo-3D seismic volume from multi-vintage 2D and 3D seismic data in Offshore Southeast Sumatra. The objective is to improve subsurface imaging and depth-structure mapping while minimizing exploration cost and time. Major challenges include variations in amplitude, frequency, phase, and time alignment across datasets acquired with different parameters, as well as determining the optimum line spacing required for reliable 3D reconstruction. The workflow begins with 2D–3D matching and amplitude balancing, followed by spatial interpolation using the 3D Sparse Radon Interpolation technique, which reconstructs coherent reflectors between 2D lines. The generated pseudo-3D volume is then merged with available 3D seismic data to create a unified volume for interpretation. Subsequent time-to-depth conversion is performed using interval velocity data, and the velocity model is iteratively updated using time-preserving tomography based on depth mis-ties between seismic horizons and well markers until convergence is achieved. The resulting depth-structure map provides improved consistency with well control and reveals subtle structural features that were not observed in the individual 2D datasets. The proposed approach demonstrates that pseudo-3D reconstruction from multi-vintage 2D seismic data can serve as a practical and cost-efficient alternative for early-stage exploration and pre-survey evaluation, especially in offshore areas where 3D seismic acquisition is economically constrained.

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  • University of Indonesia
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Rekan penulisOrganisasiArtikel bersama
Edy WijanarkoAfiliasi tidak diketahui2
Haryono HaryonoUniversity of Indonesia1
Agus Men RiyantoUniversity of Indonesia1
Abi MawalidUniversity of Indonesia1
Guntur Adham SyahputraUniversity of Indonesia1
Ricky Adi WibowoUniversity of Indonesia1

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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)
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	<dc:title xml:lang="en">Pseudo-3D Depth Reconstruction from Multi-Vintage 2D and 3D Seismic Data in The Offshore Southeast Sumatra</dc:title>
	<dc:creator xml:lang="en">Dadang Ramdan</dc:creator>
	<dc:creator xml:lang="en">Haris, Abdul</dc:creator>
	<dc:creator xml:lang="en">Dewi Manik Darmayanti</dc:creator>
	<dc:creator xml:lang="en">Adi, Permana Citra</dc:creator>
	<dc:creator xml:lang="en">Rudiyanto, Iwan</dc:creator>
	<dc:creator xml:lang="en">Mahardi, Muhamad Yanuar</dc:creator>
	<dc:subject xml:lang="en">pseudo-3D seismic</dc:subject>
	<dc:subject xml:lang="en">multi-vintage 2D data</dc:subject>
	<dc:subject xml:lang="en">3D sparse radon interpolation</dc:subject>
	<dc:subject xml:lang="en">depth conversion</dc:subject>
	<dc:subject xml:lang="en">time-preserving tomography</dc:subject>
	<dc:subject xml:lang="en">Offshore Southeast Sumatra (OSES) Basin</dc:subject>
	<dc:description xml:lang="en">The availability of legacy 2D seismic data in many mature basins offers an opportunity to generate 3D-like subsurface images without the need for expensive 3D seismic acquisition. This study proposes and demonstrates a workflow to construct a pseudo-3D seismic volume from multi-vintage 2D and 3D seismic data in Offshore Southeast Sumatra. The objective is to improve subsurface imaging and depth-structure mapping while minimizing exploration cost and time. Major challenges include variations in amplitude, frequency, phase, and time alignment across datasets acquired with different parameters, as well as determining the optimum line spacing required for reliable 3D reconstruction. The workflow begins with 2D–3D matching and amplitude balancing, followed by spatial interpolation using the 3D Sparse Radon Interpolation technique, which reconstructs coherent reflectors between 2D lines. The generated pseudo-3D volume is then merged with available 3D seismic data to create a unified volume for interpretation. Subsequent time-to-depth conversion is performed using interval velocity data, and the velocity model is iteratively updated using time-preserving tomography based on depth mis-ties between seismic horizons and well markers until convergence is achieved. The resulting depth-structure map provides improved consistency with well control and reveals subtle structural features that were not observed in the individual 2D datasets. The proposed approach demonstrates that pseudo-3D reconstruction from multi-vintage 2D seismic data can serve as a practical and cost-efficient alternative for early-stage exploration and pre-survey evaluation, especially in offshore areas where 3D seismic acquisition is economically constrained.</dc:description>
	<dc:publisher xml:lang="en">Testing Center for Oil and Gas LEMIGAS</dc:publisher>
	<dc:date>2026-06-29</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/2110</dc:identifier>
	<dc:identifier>10.29017/scog.v49i2.2110</dc:identifier>
	<dc:source xml:lang="en">Scientific Contributions Oil and Gas; Vol. 49 No. 2 (2026); 593-608</dc:source>
	<dc:source xml:lang="id">Scientific Contributions Oil and Gas; Vol 49 No 2 (2026); 593-608</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/2110/1717</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Copyright by Authors. Published by LEMIGAS</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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