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All Journal Jurnal Impresi Indonesia Jurnal Locus Penelitian dan Pengabdian
Hasisi, Subhan
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Religion Aerospace Engineering Automotive Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Numerical Study for Predicting The Initial Flash Point in Geothermal Wellbore: an Euler-Cauchy Method Approach Hasisi, Subhan; Khasani, Khasani
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 12 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i12.5282

Abstract

The precise forecasting of the initial flash point in geothermal wellbore is a crucial determinant for characterizing two-phase flow dynamics, the initiation of scaling, and overall well productivity. Despite the prevalence of considerable dissolved CO? in numerous geothermal reservoirs, prevailing wellbore simulators frequently overlook the thermodynamic interactions between CO? and H?O. This study introduces a one-dimensional Euler–Cauchy numerical model founded on the conservation laws of mass, momentum, and energy, which is coupled with a thermodynamic framework that explicitly accounts for CO?. This framework incorporates CO? solubility, vapor-liquid equilibrium, and the corresponding variations in mixture properties. A parametric analysis was conducted across CO? mass fractions of 0.00% to 1.00%. The simulations reveal that increased CO? concentrations displace the flash point to greater depths within the wellbore, that were 1409.5m depth, 1312m, 1233m, 1174m and 1134 for 1.00% CO?, 0.75%, 0.50%, 0.25% and 0.00% respectively. These results underscore the significant impact of non-condensable gases on geothermal well performance and provide critical insights for managing scale formation, mitigating corrosion, and optimizing operations.
Statistical Evaluation and Correlation Analysis of Monthly Coal Quality: Case Study in a Coal-Fired Power Plant (IPP-Kalteng-1) Arifin, Ikhwan; Manggala V A, Puma; Hasisi, Subhan
Jurnal Impresi Indonesia Vol. 5 No. 4 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i4.7628

Abstract

Coal quality consistency is essential for maintaining stable operation in coal-fired power plants. This study presents a statistical evaluation of monthly composite coal quality data collected in 2025 from a coal-fired power plant in Central Kalimantan (IPP-Kalteng-1), Indonesia. Key parameters—including total moisture, inherent moisture, ash content, volatile matter, fixed carbon, sulfur content, and calorific value—were analyzed in accordance with ASTM standard methods. Descriptive statistics and the coefficient of variation were applied to assess parameter stability, while Pearson correlation analysis was used to examine relationships between coal properties and calorific value. A multiple linear regression model was developed to evaluate the combined influence of total moisture, ash content, and fixed carbon. Model performance was assessed using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R²). Results indicate that calorific value remained stable throughout the study period, with low variability. Ash content and total moisture exhibited negative relationships with calorific value, whereas fixed carbon showed a positive effect. Although the regression model demonstrated moderate predictive accuracy (MAE = 179 kcal/kg; RMSE = 184 kcal/kg), the low R² value (0.05) suggests that additional factors influence calorific value variability.
Co-Authors Arifin, Ikhwan Khasani Khasani Manggala V A, Puma