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Journal : Journal of Physics and Its Applications

Identification of low resistivity layers in the “N” geothermal field using 2D magnetotelluric inversion modelling Nabil Bawahab; Udi Harmoko; Tony Yulianto; Irvan Ramadhan
Journal of Physics and Its Applications Vol 2, No 2 (2020): May 2020
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v2i2.7532

Abstract

Magnetotelluric research in the “N” geothermal field has been carried out to see the subsurface detail in the “N” geothermal field. 2D inversion model is generated by secondary data from magnetotelluric data collection in the form of time series data to become 2D models. Magnetotellurics method is used to identify geothermal system components, especially identifying layers with low resistivity values (2 Ω.m - 10 Ω.m) or also called as the cap rock which is seen with a very contrasting color difference compared to the surrounding layers. There are manifestations on the “N” geothermal field which reinforce the assumption that there is a geothermal system in this area. This research begins by processing time series data to become apparent resistivity and phase data. Time series data processing in this study uses several processing methods to produce better apparent resistivity and phase data. The final result of this study is a 2D model that illustrates the contour of the resistivity value of rocks laterally or vertically. 2D model interpretation in this study identified the cap rock layer with low resistivity distribution (2 Ω.m - 10 Ω.m), the medium resistivity zone identified as the reservoir layer (11 Ω.m - 70 Ω.m), and the resistive zone which has high resistivity value (more than 70 Ω.m).
Identification of "WS" geothermal field system by analyzing TE, TM, and TE-TM of 2D magnetotelluric inversion models Triana Triana; Tony Yulianto; Udi Harmoko; Iqbal Takodama
Journal of Physics and Its Applications Vol 1, No 2 (2019): May 2019
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v1i2.4660

Abstract

Magnetotelluric data has been carried out at the "WS" geothermal field to analyze the resistivity model resulting from 2D inversion of magnetotelluric data in TE, TM and TE-TM modes. Base on the three models produced, the mode is determined to produce the most representative model to assist in the interpretation of the "WS" geothermal system. There is a step of modes separation, namely TE (Tranverse Electric) and TM (Transverse Magnetic) modes in processing MT data. Each mode produces a 2D model with different conductivity properties. The analysis results of the three modes explain that TE mode is dominated by low resistivity with a range of values of 10-35 Ωm and medium resistivity with a value range of 35-250 Ωm and a vertical resistivity contrast. The TM mode describes the high resistivity in the Southwest and the center of the track with a value of more than 470 sehinggam resulting in lateral resistivity contrast. While the TE-TM mode produces a model that is not much different from TM mode, only the distribution of the resistivity value is a combination with TE mode. This mode describes the distribution of resistivity both vertically and laterally. Based on the analysis of the three modes, it can be concluded that the TE-TM mode is the mode that produces the most representative model. Interpretation model shows that from the TE-TM mode we have a low resistivity distribution (10-35 Ωm) represent a cap rock zone, reservoir rock with a medium resistivity distribution (35-380 Ωm), resistive zone with a high resistivity distribution (more than 380 Ωm), and the existence of the three of faults structures ro be a controller system of the "WS" geothermal.
Modeling of 3D Aquifer Layers using Poisson’s Ratio Analysis HVSR Method in Tembelang Village, Candimulyo District, Magelang Regency Achmad Syaifuddin Zuhri; Udi Harmoko; Gatot Yuliyanto
Journal of Physics and Its Applications Vol 3, No 1 (2020): November 2020
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v3i1.9389

Abstract

Water is one of vital needs for human beings. People use water to drink, bath, irrigate, and etc. Water supply has become a severe problem over the two past years especially in Tembelang Village, Candimulyo District, Magelang Regency. The research aims to determine the aquifer layers. The method used in this research is seismic method with HVSR (Horizontal to Vertical Spectral Ratio) microtremor survey with 71 measurement points. The HVSR microtremor data is processed to determine Poisson’s ratio from Vp⁄Vs  ratio. The obtained Vp⁄Vs  ratio from 71 measurement points ranges from 1.63 to 2.64 and Poisson's ratio ranges from 0.20 to 0.42. The Vp⁄Vs  ratio parameter to determine an aquifer is more than 1.73 and the Poisson's ratio is more than 0.25. There are 4 zones which are considered to have aquifers, namely at line 1 near point P22 depth of over 184 meters, line 2 near point P8 depth of 108-180 meters, line 3 near point P2 and P3 depth of 91-161 meters, line 4 near point P16, P17, and P18 depth of 32-187 meters. line 5 near point T22 depth of 63-157 meters, point T31 depth of 122-152 meters, and point T40 depth of 71-178 meters. The Vp⁄Vs  ratio and Poisson’s ratio are then modeled by using Rockwork 15 to obtain 3D models of acquifers based on the Vp⁄Vs  ratio and Poisson’s ratio.
Clustering of seismicity in the Indonesian Region for the 2018-2020 Period using the DBSCAN Algorithm Akrima Amalia; Udi Harmoko; Gatot Yuliyanto
Journal of Physics and Its Applications Vol 4, No 1 (2021): November 2021
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v4i1.11884

Abstract

Indonesia is located at the confluence of 3 large, active plates that are constantly moving. Therefore, Indonesia is one of the countries that has a high level of seismicity risk. This study aims to classify seismicity data in the Indonesian region based on coordinate data which contains variable data on frequency of occurrence, depth, and strength of seismicity. Seismicity data was obtained from the BMKG official website using data for the period 2018 to 2020. The clustering technique used was the DBSCAN algorithm. This algorithm requires epsilon and MinPts input parameters. The results of the cluster formed will then be validated using silhouette coefficients. Based on the coordinate data, 4 clusters were formed with 4 disturbances. Based on the characteristic data, 3 clusters were formed with 5 disturbances. The silhouette coefficient obtained was 0.35 for coordinate data and 0.39 for characteristic data. This research is useful for increasing the use value of abundant seismicity information and can be used as an effort to mitigate seismicity natural disasters.
Co-Authors . Sahid Achmad Syaifuddin Zuhri Achmad Widodo Aditya Firdaus Agung Ardiyanto Agus Muhidin Agus Muhidin Agus Setyawan Agus Subagio Akrima Amalia Alchacindy Guenergar Anjar Oktikawati Asronj Bakkit Simanjuntak Berkah Fajar Tamtomo Kiono Cassandra Fitrianna Idat Dewi Andri Dian L Silalahi Diny Agustina Rahayu Djalal Er Riyanto Elvera Yuanita Rukmana Faradina A. P. Fazrin Oktafian Galih Candra Kusuma Gatot Yulianto Hernowo Danusaputro Hiskia Anggit Maulana Hotlan Simbolon I Gusti Ngurah Antaryama Ibnu Rasid Imam Baru Raharjo Imroatun Nikmah Iqbal Takodama Irham Nurwidyanto Irvan Ramadhan Istiqomah Ari Kusuma Iut Triutami Ivan Darren Alber Iwan Gunawan Jaka Windarta Jatmiko Endro Suseno Jonius Christian Harefa Laela Fitria Lestari, Puspa Luxy Rizal Fathoni M. Razi Maila Shofa Marcelinus Christwardana Mars Widodo Moch. Abdul Mukid Mochammad Fa'iq Khasmadin Moh. Irfan Saputra Haris Mohammad Sidik Mualimin Mualimin Muhammad Irham Muhammad Irham Nurwidiyanto Muhammad Nur Muhammad Ulin Nuha ABA Mustafid Mustafid Nabil Bawahab Nanang Didik Susilo Nurwahyudin, Dindin Syarief Pradipta Ahluriza Ramdani Alfan Subekti Redemtus Heru Tjahjana Rezyta Handani Ririn Sulpiani Rizkan, Muhammad Riznia Aji Salam Rr. Tony Yulianto Saad Abdurrahman Sahid Sahid Satriyo Adhy Sheyza Rery Dynza Anggary Sigit Darmawan Siti Helmyati Siti Zulaikhah Sri Widodo Agung Suedy Sudarno Sudarno Sugeng Widada Susantoro, Tri M Syamsul Ilmi Teguh Suroso Teguh Suroso Tony Yulianto Triana Triana Veratania Aisyah Veratania Aisyah Vithya Arintalofa Wahyu Festiawan Nurrochim Yose Rizal Triarto Yundari, Yundari Yusuf D. H. Yusuf Dewantoro Herlambang