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Application of Surveillance and Monitoring in the Mature Waterflood Field Muhammad Iqbal Arrasyid; Rinaldy Dalimi
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.2276

Abstract

Waterflood is one of the keys in maintaining reservoir health and carrying out oil recovery in the secondary stage. In its development, the implementation of surveillance and monitoring activities is carried out to monitor waterflood performance both from the production and injection sides on a regular basis to maximize production optimization. However, there are many challenges that must be faced in developing waterflood, some of which are maintaining the Voidage Replacement Ratio (VRR) and the production of unexpected water. Therefore, a simpler and easy-to-apply surveillance and monitoring approach is needed. This paper describes how the application of waterflood surveillance and monitoring principles and practices is carried out in carrying out the oil recovery process and monitoring reservoir health. The reservoir health monitoring process includes several aspects such as Voidage Replacement Ratio (VRR) and Water-Oil Ratio (WOR), as well as identification of areas of interest of accumulated oil through the Production Attribute approach. The application is carried out on Field 'X' which has a typical production with a fairly high water cut. This approach was successfully applied to Field 'X' and gave the results of the approach that was quite ideal to be applied
Solar Irradiation Data Analysis Using Python and SPSS for Rooftop PV Design Based on Energy Import Export to Reduce Household Electricity Bills Aprilia Sarah Kristina; Rinaldy Dalimi
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.53283

Abstract

Solar energy is a promising renewable resource in Indonesia due to the country’s high year-round solar availability. In rooftop photovoltaic systems, solar irradiation is a key factor affecting panel output, particularly on the DC side. This study addresses the limited integration of satellite-based irradiation analysis, technical data processing, statistical modeling, and household electricity consumption in a single framework for rooftop photovoltaic planning. The study aims to analyze the characteristics of solar irradiation in Depok City, estimate the DC output of a 400 Wp monocrystalline module, and simulate the contribution of rooftop photovoltaic systems to reducing grid-imported electricity and household electricity bills. A quantitative approach was applied using hourly NASA POWER data for January 2025 to January 2026 and actual residential electricity bill data from the same period. The irradiation dataset was cleaned and processed using Python, then analyzed in SPSS through descriptive statistics, assumption testing, correlation and simple linear regression. The results indicate that NASA POWER data can provide a reliable basis for estimating rooftop photovoltaic performance and that solar irradiation has a strong relationship with DC output. The simulation further shows that rooftop photovoltaic deployment can significantly reduce electricity imported from the PLN grid and lower household electricity costs under selected capacity scenarios. These findings support the use of integrated data driven methods for rooftop photovoltaic planning in urban residential settings.
Analisa teknologi dan keekonomian de-dieselisasi PLTD Merawangg menjadi Pembangkit Tenaga Angin / Tenaga Surya di Pulau Bangka, Bangka Belitung Arya Bima Aji Kusuma ST; Rinaldy Dalimi
Jurnal Impresi Indonesia Vol. 4 No. 7 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i7.6871

Abstract

PLTD Merawangg in Bangka Island still relies on expensive diesel fuel, resulting in high operational costs carbon emissions. The Indonesian government initiated a dedieselization program to replace or hybridize diesel power plants with renewable energy sources such as solar and wind to reduce energy costs (COE) and emissions. This study aims to identify the most optimal and economical hybrid power plant configuration through simulation of on-grid and off-grid scenarios with varying renewable energy proportions. The method used is quantitative simulation based on electricity demand data, renewable energy potential, and equipment costs. The results show that a hybrid configuration of 75% solar PV hybrid 25% with diesel produces the lowest COE of 1.660 rupiah/kWh, significantly lower than the current PLTD COE and the Bangka Belitung provincial standard. This scenario is economically feasible with positive NPV values meeting investment criteria. Conversely, wind turbine configurations yield higher COE due to wind variability and expensive technology costs. The study’s implications support the dedieselization program by recommending solar-based hybrid configurations as an efficient and environmentally friendly solution for island regions.