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Muhammad Taufiq Fathaddin
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Program Studi Magister Teknik Perminyakan (Master of Petroleum Engineering) Fakultas Teknologi Kebumian dan Energi Universitas Trisakti Gedung D Lantai 5 Universitas Trisakti, Jalan Kyai Tapa No.1 Grogol, Jakarta Barat, 11440, Indonesia.
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Journal of Earth Energy Science, Engineering, and Technology
Published by Universitas Trisakti
ISSN : 26153653     EISSN : 26140268     DOI : https://doi.org/10.25105/jeeset.v1i1
Core Subject : Science,
Energy
This journal intends to be of interest and utility to researchers and practitioners in the academic, industrial, and governmental institutions.
Arjuna Subject : Energi (semua kategori) - Energi Terbarukan, Keberlanjutan dan Lingkungan
Articles 5 Documents
 1 
Search results for , issue "Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023" : 5 Documents clear
Laboratory Study of Enhanced Oil Recovery with Used Palm Oil Surfactant Injection Puri Wijayanti; Nandito Davy; Onnie Ridaliani; Pauhesti; Samsol; Widia Yanti; Tia Agusta; Rizka Nada Setyani
Journal of Earth Energy Science, Engineering, and Technology Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v6i1.13640

Abstract

Currently the waste generated from public consumption in Indonesia is very high. One such waste is used palm oil from households and food companies. Utilization of this waste in this research is by recycling waste oil into surfactants which will be used in the Enhanced Oil Recovery (EOR) process. The surfactant concentrations used were 1.3%, 1.5%, 2%, 2.2% and 2.5%. The research began with refining used cooking oil with banana peels for 24 hours. In order to make surfactants, the oil is mixed with KOH and distilled water. Additionaly, brine was made with a salinity of 15,000 ppm. With the interfacial tension test, a solution with an optimum surfactant concentration of 2.2% was obtained. The core flooding test was carried out using waterflooding followed by surfactant flooding at a temperature of 70 oC. From the test results obtained an incremental oil recovery factor of 8.57% and a total oil recovery factor of 47.43%.
Designing, Manufacturing, and Testing of 50 Wp Solar Panel Monitor Equipment Using Arduino and Internet of Things Diyan Prayudi Susman; Cholilullah Rangkuti; Sentot Novianto
Journal of Earth Energy Science, Engineering, and Technology Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v6i1.14445

Abstract

Monitoring the performance of solar panels is very necessary to assess the performance of a solar panel in real environmental conditions. The aim of the research is to study the real-time monitoring of solar panel with an Internet of Things (IoT) System. The designed solar panel performance monitoring system is equipped with a wifi module, and voltage, temperature, and humidity sensors. The design of this solar panel monitoring system uses Arduino and the IoT system a function of by reading, sending, and processing data obtained by sensors. The performance monitoring system on this solar panel utilizes the concept of sending solar panel data to other components via the Internet. By using the internet which is integrated into applications and databases as data storage. The solar panels used in the test are Polycrystalline type with a capacity of 50 Wp. The result is that this tool has successfully tested four solar panels with accurate results under optimal condition.
The Effect of Adding Adsorbents on Main Indicators of Produced Water Purification Havidh Pramadika; Arinda Ristawati; Bayu Satiyawira; Aqlyna Fattahanisa; Ghanima Yasmaniar; Muhammad Ridhal Malik Syafrudin
Journal of Earth Energy Science, Engineering, and Technology Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v6i1.15396

Abstract

Formation water is a by-product of oil and gas processing. This formation water is very different from fresh water because formation water contains harmful chemicals and other elements contained in oil or gas. To prevent formation water from contaminating the environment, it is necessary to reduce the formation water content using an adsorbent. Some of the parameters that indicate reduced mineral and chemical content that must be considered for this research are pH, TDS (total dissolved solid), SG (specific gravity), and salinity values. In this study observed changes in these parameters with the administration of adsorbents. Two types of adsorbents used are bagasse and bentonite. The parameters of pH and TDS were measured using litmus paper and TDS paper respectively. While SG and salinity were measured using a salinity hydrometer. The process of giving the adsorbent causes a decrease in these four parameters. The addition of 3 grams of bagasse caused the pH, TDS, SG, and salinity of the formation water to decrease to 7.8, 3086 ppm, 1008 and 12 ppt, respectively. While the addition of 3 grams of bentonite caused these four parameters to decrease to 7.8, 2720 ppm, 1010 and 14 ppt respectively.
Integrating Petrophysical Analysis and Seismic Interpretation for Oil and Gas Reserves Estimation in “TAU” Field, Jatibarang Sub–Basin, North West Java Basin Ilham Nur E.N. Iskandar; Rian Cahya Rohmana; Widi Atmoko; Sally Ulianda Azalia; Jehezkiel Nafael Makapuan
Journal of Earth Energy Science, Engineering, and Technology Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v6i1.15743

Abstract

The focus of the study is the North West Java Basin, specifically the Jatibarang Sub Basin within it. The research aims to identify new potential areas for hydrocarbon reserves using seismic interpretation, and tetrophysical analysis, also calculate the volume of reserves in those areas. According to the study, 2 potential areas for hydrocarbon reserves were identified in the Parigi Formation, 2 were identified in the Baturaja Formation, 3 were identified in the Talang Akar Formation, and 1 was identified in the Jatibarang Formation. No new potential areas were discovered in the Cibulakan Formation. The study used petrophysical interpretation of six wells to determine the average values of shale volume (9.57% to 29.87%), effective porosity (19.45% to 21.67%), and water saturation (69.73% to 93.50%) for each potential zone. The TAU-5 well in the Baturaja Formation (Zone 1, Zone 2, Zone 3, and Zone 4) was determined to be the most economically viable zone for production based on the values of shale volume, porosity, and water saturation. The volume of hydrocarbon reserves in the BR-1 potential zone was calculated to be 182.741281 MBO in OOIP and 177.85122 BCF in OGIP. The BR-2 potential zone had an OOIP value of 1,197.534148 MBO and an OGIP of 1165.488764 BCF.
Optimization of Polymer Flooding Using Genetic Algorithm Ramadani; Tomi Erfando
Journal of Earth Energy Science, Engineering, and Technology Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v6i1.16319

Abstract

One of the methods to achieve optimal conditions in increasing oil recovery through injecting polymers is by optimizing the parameters that influence the success of injecting polymers to provide information and be considered when determining new schemes for implementation in the future. Optimization to obtain the optimum value of the recovery factor and the best value of the parameters PV, injection rate, injection time, injection pressure, adsorption, residual resistance factor (RRF), and inaccessible pore volume (IPV) using a genetic algorithm with three training ratios and testing 70: 30, 80: 20 and 90: 10 using 1000 datasets. The best value obtained for each parameter is at a ratio of 90: 10, which is the best model with the lowest reference error value with RSME of 0.241104 and MAPE value of 19.1964 classified as good prediction with the value of each adsorption parameter 0.1737 (g/l), injection rate 703 (bpd), injection pressure 1816, IPV 0.2524, RRF 4.8319 and finally the optimum value for recovery factor is 53.9557.

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