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Your search keyword '"Warnana Dwa Desa"' showing total 2 results
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2 results on '"Warnana Dwa Desa"'

1. Multi-anomalies self-potential inversion using enhanced Runge–Kutta optimization.

Author

Ramadhan, Agung Nugroho, Sungkono, Rizaq, Alif Muftihan, Furi, Dheo Callisto, and Warnana, Dwa Desa

Subjects
RESEARCH personnel, EMBANKMENTS, ALGORITHMS
Abstract

Self-potential (SP) method has been widely used to identify some geological structures related to electrical potential. Multiple sources of anomalies give some difficulty in SP data inversion or interpretation due to a high number of model parameters. This paper proposes enhanced Runge–Kutta optimization (ERUN) using a rank-based mechanism and the chaotic logistic map to balance exploration and exploitation ability for multiple anomalies of SP data inversion in determining SP model parameters. ERUN is compared to the RUN algorithm on SP inversion problem with multiple anomalies. Model parameters are estimated using a posterior distribution model with the applied threshold. The result shows that RUN and ERUN can provide uncertainty analysis using the posterior distribution model. Furthermore, ERUN and RUN are applied to solve synthetic and field data. ERUN and RUN yield good results and show good agreement with geologic information. Model parameters generated by ERUN and RUN are appropriate for validation with prior researchers. LUSI embankment assessment using SP method analyzed using RUN and ERUN algorithm shows that ERUN has more reasonable result than RUN. Overall, ERUN is relatively more reliable in solving SP inversion problems with a relatively high number of anomalies than other algorithms tested in this research. This advantage comes with a relatively high computational cost, which makes ERUN slower. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Identification geothermal system based on 1D, 2D, 3D inversion and TDEM static shift correction study case Mt. Arjuno-Welirang, East Java.

Author

Fitri, Waindini Nur, Lestari, Wien, Mariyanto, Mariyanto, Widodo, Amien, Warnana, Dwa Desa, Saputra, Deni, Sudjatmiko, Kukuh, Cancerio, Catur Rizkillah, Luckytasari, Nadia Putri, Sunaryono, Sunaryono, Hirt, Ann Marie, Herrin, Jason Scott, Muztaza, Nordiana Mohd, Diantoro, Markus, and Bijaksana, Satria

Subjects
THREE-dimensional modeling, SYSTEM identification, MAGNETOTELLURIC prospecting, STATISTICAL smoothing, ALGORITHMS, CASE studies, ALTITUDES, TWO-dimensional models
Abstract

Arjuno-Welirang Mountain is located in East Java province, which is a type of stratovolcano with an altitude of 3,339 m for Arjuno and 3,156 m for Welirang. The Arjuno-Welirang geothermal system is a volcanic geothermal system. Magnetotelluric is the most commonly used geothermal exploration method because of its deep penetration and sensitivity to conductive zones. The Magnetotelluric method measures 103 MT points in the field of geothermal systems in the South of Mount Arjuno-Welirang. In this study, the 3D inversion model of Magnetotelluric data was used to reduce the ambiguity of 2D Magnetotelluric inversion data. 3D Model Inversion uses WinGlink and 3DModEM. The steps of Magnetotelluric processing consist of time-domain conversion to the frequency domain, cross power selection, data smoothing, static effect correction, 2D and static strips, interpolation, masking, 3D inversion, and interpretation of inversion models. The 3D model inversion consists of 3D mesh grid parameters used by the NonLinear Conjugate Gradient Algorithm. 2D Inversion Modelling was done by the NLCG method, which produces a 2D model with an RMS error of 1.7%. 3D Inversion modeling was done by the NLCG method producing a 2D model with a value of RMS error of 2.83%. The geothermal system of the Arjuno-Welirang geothermal region consists of a layer of veil rock with a type of resistivity value of 5-11 Ωm, a middle resistivity zone with a value range of 11-76 m acting as a reservoir, and a high resistivity zone with a range of 76-500 Ωm or commonly called heat source. The results of the 3D inversion model indicated a range of low resistance types (hood rock layers) that have a thickness of 1200 - 1700 m, the value of this type of resistance is below the surface with a thickness of ±500-600 m. Thus, the Mt. Arjuno-Welirang is a geothermal prospect area. [ABSTRACT FROM AUTHOR]

Published
2020
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