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All Journal POSITRON Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Aceh International Journal of Science and Technology
Trisna, Muhammad Destrayuda
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Agriculture, Biological Sciences & Forestry Astronomy Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Materials Science & Nanotechnology Physics

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Petrophysical Analysis and Seismic Attribute for Reservoir Characterization in “AMN” Field, Talang Akar Formation, South Sumatra Basin Ayman, M. Alghiffari; Sudarmaji, Sudarmaji; Trisna, Muhammad Destrayuda
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 14 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v14n1.p1-18

Abstract

The AMN field is located in the South Sumatra Basin, where the Talang Akar Formation is proven to be one of the main hydrocarbon reservoirs in the South Sumatra Basin, with the dominant lithology comprising interbedded sandstone and shale. This study aims to determine the depth and distribution of the reservoirs in the Talang Akar Formation using petrophysical analysis and seismic interpretation. Petrophysical analysis was performed using deterministic methods to obtain reservoir depth information vertically. The seismic interpretation was carried out using model-based acoustic impedance inversion and the application of the rms Amplitude attribute to get information on the lateral distribution of the reservoir. The result of petrophysical analysis indicated that the physical parameters in the AMN Field's Talang Akar Formation reservoir zone varied in depth, ranging from 1171.8 m to 1201.5 m, with an average shale content of 30%, water saturation of 70%, and effective porosity value of 15%. Seismic interpretation revealed the lateral distribution of sandstone reservoirs predominantly trending west to south in the study area, indicated by amplitude values ranging from 6,000 to 9,000 and acoustic impedance values from 6,400 to 7,200 (m/s)(g/cc). From this study, integrating petrophysical analysis using deterministic methods, model-based acoustic impedance inversion, and rms Amplitude attribute could provide reservoir distribution information both vertically and laterally.
Comparison of Hydrocarbon Volumetric Calculation between Cell-Based Model and Numerical Integration Oktaviani, Vania; Saroji, Sudarmaji; Trisna, Muhammad Destrayuda
POSITRON Vol 14, No 1 (2024): Vol. 14 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v14i1.61374

Abstract

Volume estimation for hydrocarbon reserves is a challenging yet pivotal task in engineering for exploration and production. Advances in technology now enable us to compute volume integration using programming computation. Various approaches using numerical integration, including the trapezoidal, pyramidal, and Simpson's rule, along with cell-based models as comparative methods can be used for the calculation of hydrocarbon volume. In this study, original oil in place (OOIP) is employed to determine reserve oil volume.   The OOIP values obtained are 8.55 million m3 through cell-based calculations, 8.63 million m3 via the trapezoidal approach, 8.58 million m3 using the pyramidal method, and 8.57 million m3 with Simpson's 3/8 rule. The relative error ratio percentages between the cell-based model as the reference value and the numerical integration calculations as the measured values are 0.93% for the trapezoidal method, 0.35% for the pyramidal method, and 0.23% for Simpson's 3/8 rule. Simpson's 3/8 rule demonstrates the closest mathematical result to the cell-based model. Within this margin of error, the methodologies have been demonstrated to proficiently compute hydrocarbon reserves from real data through simplified and abbreviated processes.
Implementation of Deterministic and Multimineral Method in Petrophysical Analysis for Identifying Low Resistivity Reservoir in Tesla Field, Air Benakat Formation, South Sumatera Basin Saroji, Sudarmaji; Trihapsari, Wandia Mellani; Trisna, Muhammad Destrayuda
Aceh International Journal of Science and Technology Vol 13, No 3 (2024): December 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.3.36698

Abstract

The Tesla field is located in the South Sumatra Basin, where there is the Air Benakat Formation, with the constituent rocks being dominated by alternating sandstone and claystone so that it is a shaly sand environment with the potential to become a low-resistivity hydrocarbon reservoir. Hydrocarbon reservoirs generally have a resistivity log value of more than 10 m; when a hydrocarbon reservoir has a low-resistivity value between 0.5 - 5 m, it is referred to as a low-resistivity hydrocarbon reservoir. Initially, deterministic analysis was carried out to calculate the petrophysical parameters of the potentially low-resistivity reservoirs. However, the results show a low validation value of petrophysics parameters, such as effective porosity and water saturation, when compared to the DST data, so a multimineral analysis is carried out to increase the validation value of the petrophysical parameters. The use of the multimineral method has produced the petrophysics parameter closer to DST Data when compared to the petrophysics parameter produced by the deterministic method in Tesla Field. The formation analysis shows that the low resistivity reservoir in the Tesla Field is caused by the grain size of the sandstone, which is very fine so that it can bind water significantly (irreducible water), abundant shale content, and distributed by lamination of shale, dispersed shale, and structural shale as well as the presence of conductive glauconite minerals.
Co-Authors Ayman, M. Alghiffari Oktaviani, Vania Saroji, Sudarmaji SUDARMAJI SUDARMAJI Trihapsari, Wandia Mellani