EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420 (Print until Mar 2020)
ISSN:2432-5953 (Online)

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Reservoir Characterization using Simultaneous Inversion, AVO Analysis, and Seismic Attributes: A Case Study of Conglomerates-Volcanic, Northwest Java Basin

Saeful Ghofar Zamianie Putra1, Muhammad Oktama Aulia Akbar2, Putra Pratama Wahyu Hidayat2, Sudarmaji Saroji3, Sismanto Sismanto3,*
1Physics Department, Gadjah Mada University, Sekip Utara, Bulaksumur, Yogyakarta 55281, Indonesia
2PT. Pertamina EP, Cirebon, West Java, Indonesia
3Geophysics Laboratory, Physics Department, Gadjah Mada University, Sekip Utara, Bulaksumur, Yogyakarta 55281, Indonesia
*Author to whom correspondence should be addressed:
E-mail: sismanto@ugm.ac.id (SS)
Evergreen, Vol. 12, Iss. 04, pp. 1867–1875, 2025
DOI: 10.5109/7402621
Creative Commons Attribution 4.0 International Creative Commons Attribution 4.0 International
Received: February 06, 2025 | Revised: August 27, 2025 | Accepted: November 12, 2025 | Published: December 2025
Abstract
The Northwest Java Basin (NWJB) in Indonesia is a productive basin with proven oil and gas production. It consists of conglomerate, volcanic rock, and shale. A key exploration challenge in the NWJB is the extensive volcanic cover, which significantly reduces the effectiveness of conventional seismic methods. In this study, we employ seismic interpretation techniques to address these challenges and enhance the success of oil and gas exploration in volcanic-dominated settings. This study uses simultaneous inversion to characterize conglomerate distribution among volcanic rocks, using sensitive parameters like Vp/Vs, density, and lambda-rho. The study also uses AVO analysis on the LAC-12 well to identify potential locations. The study uses RMS amplitude, sweetness, and spectral decomposition attributes to support the structure at the study site. The simultaneous inversion was proven to characterize the distribution of conglomerate among volcanic rocks by using several sensitive parameters consisting of Vp/Vs with a cut-off value of <1.6, density with a cut-off value of <2.35 g/cc, and lambda-rho, or incompressibility, < 20 Gpa*g/cc. Furthermore, AVO analysis on the LAC-12 well showed that the reservoir in this study was of class IIp AVO type at the top and class II at the base. These attributes are integrated with the inversion parameter and supported by the interpretation of the AVO attribute cross-section, which produces three potential locations in the pre-TAF horizon with a depth of about 2100 ms.
Keywords
and lambda-rho; attribute AVO; conglomerate distribution; Northwest Java Basin; Pre-TAF; volcanic rocks
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