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All Journal Simetris IJOG : Indonesian Journal on Geoscience Jurnal Spektra JITEK (Jurnal Ilmiah Teknosains) Spektra: Jurnal Fisika dan Aplikasinya Indonesian Journal on Geoscience Indonesian Journal on Geoscience Indonesian Journal of Physics (IJP) Aceh International Journal of Science and Technology Jurnal Polimesin
Arya Dwi Candra
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Veterinary

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Seismic Anisotropy in the Northern Sumatra Region from Shear Wave Splitting Arya Dwi Candra; Bagus Jaya Santosa
Indonesian Journal of Physics Vol 26 No 2 (2015): Vol. 26 No. 2, December 2015
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.191 KB) | DOI: 10.5614/itb.ijp.2015.26.2.3

Abstract

The northern Sumatra consists of several tectonic segments, such as subduction zone, the Sumatra and Mentawai faults. An analysis that can be used to identify the tectonic segments, located beneath the northern Sumatra, is shear wave- splitting. The purpose of the analysis of shear-wave splitting is to monitor the anisotropic characteristics of the structure of the earth layers located beneath the northern Sumatra. The monitoring data were collected from 4 BMKG stations with the magnitude was more than 6.3 Mw and the the range of the epicentral distance was about 85̊-140̊. The data analysis was conducted by using Splitlab program based on rotation-correlation method. The result of the shear-wave splitting analysis shows that there are two anisotropic layers. The delay time found in the first layer is about 0,5-0,9 s, which is assumed that it occurs due to the Sumatran fault. Meanwhile, the delay time found in the second layer is about 1,4-1,8 s, which is assumed that it occurs due to the subduction plate movement on the upper mantle layer. The results of TPTI, TSI and TRSI stations has shown congruence, that is the polarization direction is parallel to the Sumatra fault on the upper layer and the polarization direction is perpendicular to the Sumatra fault on the lower layer. The PSI station shows the polarization direction is different from the other stations, in which they show the polarization direction is perpendicular to the Sumatra fault on the upper layer and the polarization direction is parallel to the Sumatra fault on the lower layer. The difference of the data processing in the PSI station, we assume, is caused by the presence of a complex layer beneath Toba caldera.
Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based On Well Log Data Urip Nurwijayanto Prabowo; Akmal Ferdiyan; Sukmaji Anom Raharjo; Sehah Sehah; Arya Dwi Candra
Aceh International Journal of Science and Technology Vol 12, No 2 (2023): August 2023
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.2.28428

Abstract

Facies classification is the process of identifying rock lithology based on indirect measurements such as well log measurements. The facies classified manually by experienced geologists, so it takes a long time and is less efficient. Machine learning applications in facies classification can increase the effectiveness and efficiency of geophysical interpretation on complex data. The purpose of this study is to examine the application of machine learning algorithms SVM and KNN in facies estimation. The results showed that the KNN algorithm is better at estimating facies than the SVM algorithm.
Evaluation of Tubing Diameter and Bean Size for Optimization of Well Production Rate Arya Dwi Candra; Muhammad Firmansyah Hafidzullah; Rakha Reswara; Paradongan Siahaan; Dies Elita Budiyanti; Zainal Abidin
Jurnal POLIMESIN Vol 21, No 1 (2023): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i1.3196

Abstract

Gas field development is a costly affair, thus it is essential that each component of the production system operates properly. The objective of field optimization is to discover the parameter range that maximizes productivity. In addition, the development of natural gas reserves for both fuel and petrochemical purposes is accelerating. Well X is an approximately 4-year-old natural-flow gas well with a gas flowrate of 7.7 MMSCF/D, condensate flowrate of 55 BCPD, and water flowrate of 2 BWPD. As fluid is generated from the reservoir to the surface, the production rate of the well decreases. This well's productivity was evaluated using nodal analysis in conjunction with a comparison of tubing size and bean size. aiming to satisfy gas demand without exceeding the critical limit. The nodal analysis approach is utilized to determine the well's optimal and efficient performance. Moreover, utilizing system analysis, which is a graphical plot between the tubing size and the resulting flow rate, as depicted in Figure 6, we can determine which tubing size delivers the highest or most efficient rate at a particular moment under constant wellhead pressure (node at the wellhead). If the demand grows by 14.4 MMSCF/D, the installed tube size can be changed to 40/64" for optimization purposes. This procedure is more cost-effective because it does not squander money and does not halt gas production at the well. To satisfy the increased gas demand of 14.4 MMSCF/D, the production operator can rotate the bean or choke from its initial 24/64" size to 40/64" size.
The Effect of Modular Portable Clamp on Electrical Heat Traces for Wellhead Icing Prevention Arya Dwi Candra; Pradini Rahalintar; Akba Gushari; Muhammad Aulia Fikri; Novlian Adonia Borolla; Zulfan Zulfan; Zainal Abidin
Jurnal POLIMESIN Vol 21, No 1 (2023): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i1.3193

Abstract

Gas wells have numerous safety devices installed at the wellhead, including pressure sensors with high-high (HH) and low-low (LL) parameter set points that can close the shut-down valve (SDV). A phenomenon of icing was discovered on the wellhead tube wings during open well X operations (after shut-in wells). This occurs when wells are shut down for longer than three days, such as during turnaround operations or emergency situations. The occurrence of ice blocks on the wellhead tube wings during wellbore startup disrupts gas flow to well X and has the potential to result in an annual loss of production opportunity (LPO) of $960 million. When there is a significant heat release phenomenon around the wing tube area, the absence of a heating facility around the wellhead area is one of the most important factors in this icing. To prevent icing and ice blockage, a portable, modular electric heat trace with clamp-on attachment is installed. Heat Trace cable is connected to a portable generator for power. This device is capable of converting electricity into heat up to 167 °F (75 °C). The heat generated by the instrument will mitigate the sudden release of heat when the gas begins to flow. Modular portable clamp-on heat tracing has been demonstrated to eliminate the possibility of icing at the wellhead due to a significant drop in temperature and maintain the gas field's production rate.
Co-Authors Akba Gushari Akmal Ferdiyan Bagus Jaya Santosa Bagus Jaya Santosa Dies Elita Budiyanti Dwa Desa Warnana Gazali Rachman Irwan Setyowidodo, Bagus Jaya Santosa Muhammad Aulia Fikri Muhammad Firmansyah Hafidzullah Novlian Adonia Borolla Paradongan Siahaan Pradini Rahalintar puput eka suryani Puput Eka Suryani Rachman, Gazali Rachman, Gazali Rakha Reswara Sehah Sehah Sukmaji Anom Raharjo Suluh Jatmiko Totok Wijayanto Totok Wijayanto, Totok Urip Nurwijayanto Prabowo Zainal Abidin Zainal Abidin Zulfan Zulfan