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Implementation of the Poisson Impedance Inversion to Improve Hydrocarbon Reservoir Characterisation in the Poseidon Field, Browse Basin, Australia Hartagung, Riky Tri; Rosid, Mohammad Syamsu
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p102-114

Abstract

The prediction process of lithology and fluid content is the most important part of reservoir characterization. One of the methods used in this process is simultaneous seismic inversion. In the Poseidon field, Browse Basin, Australia, the parameters generated through simultaneous seismic inversion cannot accurately characterize the reservoir because of the overlapping impedance values between hydrocarbon sand, water sand, and shale, which cause a high level of ambiguity in the interpretation. The Poisson impedance (PI) inversion provides a solution to this problem by rotating the impedance a few degrees through coefficient c. Coefficient c is obtained through the target correlation coefficient analysis by finding the optimum correlation coefficient between the PI and the target log, namely, gamma rays, effective porosity, and resistivity. The results show that the PI gives better outcomes in separating hydrocarbon-saturated reservoir zones. Based on the results of the lithology impedance–gamma rays, the ϕI-effective porosity cross-plot, and the fluid impedance-water saturation (Sw) cross-plot, with optimum correlations of 0.74, 0.91, and 0.82, respectively. The lithology of hydrocarbon-saturated porous sand is at values of LI ≤ 2800 (m/s)(g*cc), ϕI ≤ 5500 (m/s)(g*cc) and FI ≤ 4000 (m/s)(g*cc). The presence of low values for LI, ϕI and FI correlates accurately with the presence of hydrocarbons in the well. Each value of c is then applied to the seismic data. The results show that this method can determine the distribution of gas-saturated porous sand on the seismic inversion section in the northeast–southwest direction.
Penentuan Model Kecepatan Seismik 1-D di Pulau Lombok Bunaga, I Gusti Ketut Satria; Rosid, Mohammad Syamsu; Anggono, Titi; Septiadhi, Ardhianto
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i11.6023

Abstract

The interpretation of local geology structure can be done effectively by using an appropriate local seismic velocity model. It is suitable to implement in Lombok Island that the local fault activity near Mount Rinjani caused the 2019 East Lombok Earthquake. This study determines and updates the 1-D seismic velocity model using the VELEST by applying the Coupled Hypocenter-Velocity method. The 2010-2022 earthquake data from the catalog of BMKG is used for this study. A total of about 166 events (M ≥ 4) and 20 seismic stations in Lombok and surrounding areas are utilized in this study. The local model (Koulakov) and global (AK-135) are selected as the initial model. The double-difference method is also used to test both velocity models refining the hypocenter location. The results show that the updated Koulakov model has a high relevance in representing the crustal structure of Lombok Island according to the parameters of RMS value, uncertainties hypocenter, and seismic interpretation. It demonstrates not only the local geology condition but also a more reliable seismic velocity model in the region of Lombok Island. This model can be used as a reference for interpreting the better geological structure.
Distribusi Kerentanan Seismik di Wilayah Pusat Kota Surabaya Akbar, Dzikrullah; Rosid, Mohammad Syamsu; Darmanto, Aina Najwa
Jurnal Penelitian Pendidikan IPA Vol 10 No 3 (2024): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i3.6761

Abstract

Surabaya is the second major city of Indonesia and the economic capital of eastern Indonesia. The city’s central area is the governmental center of East Java Province. This area is traversed by the Surabaya section of the Kendeng Fault which could potentially generate a maximum M6.5 earthquake. The East Java megathrust zone also threatens this area with a potential maximum magnitude of M8.9 earthquake. The rock geology of this region is dominated by soft alluvial soil which could amplify earthquake shaking. This study aims to identify the distribution of seismic vulnerability index in Surabaya’s central area. Therefore, microtremor measurements were carried out at 61 points in this area. The results were then analyzed using the Horizontal to Vertical Spectral Ratio (HVSR) method to determine the amplification factor values and seismic vulnerability index. The results of the HVSR analysis show that the amplification factor value and seismic vulnerability index are in the low to medium category ranging from 0.8370 - 3.8298 and 0.6041 - 14.6268, respectively. The distribution of the results shows that the northern area is more vulnerable than the southern part. This is verified by the geological conditions of the northern part which is dominated by alluvial soil.
Perbandingan Hasil Data Gravitasi Permukaan Tanah dan Satelit GGMPlus (Studi Kasus: Cekungan Kalibening) Wiguna, I Putu Arix Putra; Rosid, Mohammad Syamsu; Saputra, Frilla Renty Tama
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.7318

Abstract

As technology develops, many satellite gravity data with world coverage and high resolution have become available, one of which is GGMPlus. However, the quality of the resulting satellite gravity data is still doubtful, because the GGMPlus satellite data is the result of calculations. This research will compare satellite data with land surface data in the Kalibening Basin area to see the precision and correlation of satellite data with land surface data. Land surface data was obtained from field measurements using Scintrex CG-5 with a grid between stations of 500-1000m and GGMPlus satellite gravity data with a distance between points of 600m. The results obtained show that the residual anomaly maps have many similarities, while the regional anomalies provide quite significant differences between the two data. The slicing results show a density contrast that is similar to the two data and matches the geological boundaries of the Kalibening Basin. Based on the results obtained, GGMPlus data can be an alternative to fill the gaps in field data or as supporting data in disaster mitigation and exploration in general. The correlation between land surface data and GGMPlus is quite rational with a value of R2 = 0.95 and RMSE = 6.89mGal.