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Depositional Modification In Seram Through, Eastern Indonesia Kusnida, Dida; Naibaho, Tommy; Firdaus, Yulinar
Jurnal Geologi dan Sumberdaya Mineral Vol 17, No 2 (2016): Jurnal Geologi dan Sumberdaya Mineral
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.569 KB)

Abstract

Seismic reflection profiles considered to represent the morphotectonics of the study area and verified by surficial sedimentary data presented in this paper directed to understand  the sedimentary depositional dynamics.  Seismic data interpretation results show the gradation and sediment facies cycles in accordance with the episode of tectonic activities, which is characterized by the avalanche of the Seram Trough base-of slopes materials. Seismic data reveal more than 1250 meters acoustically chaotic to laminated, indicate fine-grained sediments between slumps at its base of slope and fine marine sediments at the trough floor. Thus, it suggests that the Seram Trough is in the process of differential vertical movement causing depositional modification due to the accretionary prism growths.
GRAVITY MODELING OF SUBSURFACE STRUCTURES AND RESERVOIR CHARACTERIZATION USING SEISMIC INVERSION IN THE NIAS BASIN Wibowo, Ramadhana; Setiadi, Imam; Firdaus, Yulinar; Rahardiawan, Riza
BULLETIN OF THE MARINE GEOLOGY Vol 39, No 2 (2024)
Publisher : Marine Geological Institute of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32693/bomg.39.2.2024.890

Abstract

The development of interpretation techniques opens new exploration opportunities in the forearc basins of western Indonesia, such as the Nias Basin which show signs of oil and gas seepage. Gravity and seismic inversion analysis were used to look into the Nias Basin in order to evaluate its subsurface structure, the location of sedimentary sub-basins, and the possible presence of hydrocarbon reservoirs. After filtering the data for the Complete Bouguer Anomaly (CBA), a residual anomaly was obtained. This allowed for the quantitative interpretation of structures below the surface using 2D gravity forward modelling. Seismic and well data interpretation includes sensitivity analysis, a well-seismic tie, picking horizons, and acoustic impedance (AI) inversion. The residual gravity anomaly reveals eight sub-basin patterns spread out in the Nias Basin with a relative continuity direction of northwest-southeast following the lineaments of basement highs. The subsurface geological model identified four rock formations. From deepest to shallowest, these units are metamorphic bedrock (2.7 g/cc), Lelematua Formation (2.5 g/cc), Gomo Formation (2.4 g/cc), and Gunungsitoli Formation with an overlying alluvium (2.25 g/cc). Interpretation of well and seismic suggests a target zone at a 2,017 – 2,101 meters depth. Using a model-based hard constraint for AI inversion in this zone indicates possible carbonate reservoirs. Based on sensitivity analysis with an interval of 34,000 - 47,000 (ft/s)*(g/cc), an AI cutoff value of more than 34,000 (ft/s)*(g/cc) was obtained. The carbonate is estimated to be a tight carbonate in the limestone of the Gomo Formation.
COMPARATIVE ANALYSIS OF WATER COLUMN TEMPERATURE USING SEISMIC INVERSION AND WORLD OCEAN ATLAS (WOA) METHODS IN WAIPOGA WATERS, PAPUA Kusdiana, Dias; Manik, Henry Munandar; Nainggolan, Tumpal Bernhard; Firdaus, Yulinar
Jurnal Perikanan Unram Vol 15 No 2 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i2.1400

Abstract

Seismic oceanography is a combination of two sciences: seismic and oceanography. It is used to study phenomena in the water column, one of which is temperature measurement in the water column. This study aims to analyze the differences in water column temperature measurements using the seismic inversion method and measurements using data from the World Ocean Atlas (WOA). The data processing is divided into three stages: seismic data processing using ProMAX 2D software, synthetic seismogram processing using Hampson-Russell Software, and temperature distribution processing using Ocean Data View and Matlab software. The accuracy of the inversion-derived temperature was tested against observational data using the mean absolute error (MAE) criterion. The results of the temperature difference analysis show that the temperatures obtained from WOA data measurements are lower than those obtained using the seismic inversion method. The temperatures measured using WOA data range from 27.5–29.4 °C, while the inversion method ranges from 30.8–29.3 °C. Verification results indicate fairly good accuracy, with the MAE between WOA and seismic inversion ranging from 1.9–3.4 °C.