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JOURNAL OF EARTH ENERGY ENGINEERING
Published by Universitas Islam Riau
ISSN : -     EISSN : 25409352     DOI : -
Core Subject : Science, Engineering,
Earth & Planetary Sciences Energy Engineering Materials Science & Nanotechnology
Journal of Earth Energy Engineering (eISSN 2540-9352) is a Bi-annual, open access, multi-disciplinary journal in earth science, energy, and engineering research issued by Department of Petroleum Engineering, Universitas Islam Riau. The journal is peer reviewed by experts in the scientific and engineering areas and also index in Directory of Research Journals Indexing (DRJI) and CrossRef Member.
Arjuna Subject : -
Articles 9 Documents
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Search results for , issue "Vol. 12 No. 2s (2023): IC-UPERTAIN 2022" : 9 Documents clear
Identification of Reservoir Distribution Using Extended Elastic Impedance (EEI) Inversion in the "Z" Field of the Kutai Basin Zikra Miftahul Haq; Eki Komara; Wien Lestari
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.13955

Abstract

This research was conducted using EEI inversion on seismic data in Z Field, Kutai Basin. The EEI inversion is effectively used to determine the reservoir distribution by eliminating the angle limit on the elastic impedance to the Chi angle so that it can be correlated with petrophysical parameters that are sensitive to lithology and fluids. The data used in this study are well data, checkshots, horizons, and partial-stack angle gather 3D seismic data. The data obtained is processed to obtain the target zone first based on log interpretation. Based on data processing, the target zone is obtained at 1513 m to 1531 m. Sensitivity analysis was conducted to determine the sensitive parameters, which can separate the lithology of the formation. In the sensitivity analysis, the most sensitive log to separate lithology is the Vp/VS log, which can separate sandstone, shale, and coal. Furthermore, the EEI inversion analysis was carried out to obtain the most suiTable model for the inversion, the Based Hard Constraint model was obtained with a correlation reaching 0.997 and an error value of 0.078. Based on the EEI inversion, the target zone in the Z-field at a depth of 1258 ms - 1269 ms with a sandstone reservoir in the EEI range of 6000 (m/s)(g/cc) - 7500 (m/s)(g/cc) which spreads from northeast to south. The distribution of the sandstone reservoir is surrounded by coal with a range of EEI 7500 (m/s)(g/cc) - 12000 (m/s)(g/cc), and also the distribution of shale in the EEI range of 7500(m/s)( g/cc) - 9200(m/s)(g/cc).
The development of geothermal energy as a renewable power plant Dennya Angeline Ardiyanto Putri; Muhammad Sulhan
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.13956

Abstract

Geothermal energy is a sustainable and ecologically beneficial energy source, it is believed that Indonesia alone has 40% of the world's geothermal energy reserves of roughly 28.000 MW. The Indonesian government expects the geothermal power plant installed capacity to reach 10.000 MW by 2025. However, the installed capacity remained at 1.739 MW until 2014. Aside from that, the Indonesian government has made significant investments to expand the geothermal sector through different current rules. This research aims to determine the absorption of geothermal energy as an alternative to power generation and many elements of the associated hurdles, such as natural and human resources. In addition, this paper also creates new model parameters that significantly improve model performance. Analysis of system dynamics methods and modelling and simulation methods are used for fast and accurate results. According to a literature analysis done by collecting secondary data from journals and associated research publications, existing conditions are judged insufficient to meet the installed capacity of geothermal energy with a target of 3.458 MW in 2025 based on simulation results of forecasts through 2050. Factors impeding progress include the government's lack of coordination and implementation difficulties. Furthermore, because the financial sector was redirected to cope with the economic crisis, the pandemic scenario in 2020 was one of the impediments. Based on these criteria, the optimum solution was sought by expanding installed electricity capacity and raising the selling price of geothermal power with a target of 24.5% and electricity output of 13.263 GWh.
Production optimization in Well A and Well B using electric submersible pump (ESP) Weny Astuti; Wahyu Tri Mulyono
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.13957

Abstract

This research discusses the optimization of production carried out in Well A and Well B. The two Wells are production Well with three production layers (multilayer) that have different characteristics for each layer. Based on the performance evaluation of the production Wells, it’s known that Well A and Well B are no longer able to produce naturally (natural flow). Therefore, it’s necessary to have an artificial lift in order to be able to produce.The artificial lift method used for Well A and Well B is to install an electric submersible pump (ESP), because based on the screening criteria of artificial lift, both Wells can use an electric submersible pump. It’s known that Well A has an absolute open flow (AOF) value of 5840 stb/d and Well B of 3874 stb/d. The production optimization carried out has a production target of 70% of the absolute open flow value. Therefore, the selection of the electric submersible pump for each Well must have an operating flowrate that is in accordance with the production target of the two Wells and must perform a sensitivity test on the selected electric submersible pump to obtain the optimal scenario. So that, the electric submersible pump design for Well A is REDA D4300N with operating frequency of 60 hz and 156 stages, while for Well B is REDA DN3100 with operating frequency of 70 hz and 188 stages.
Analysis of Surfactant and Polymer Behavior on Water/Oil Systems as Additives in Enhanced Oil Recovery (EOR) Technology through Molecular Dynamics Simulation: A Preliminary Study Muhammad Hasbi Ar-Raihan; Raisya Salsabila; Azis Adharis; Paramita Jaya Ratri; Tirta Rona Mayangsari
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.13958

Abstract

The decline in oil production has led to the development of the Enhanced Oil Recovery (EOR) technology to increase oil production. Chemical injection is one of the methods in EOR by injecting surfactants or polymers into reservoir wells. To understand the properties and dynamics of surfactants and polymers at the nanoscale, computational studies using molecular dynamics simulation were carried out. In this study, surfactant Sodium Dodecyl Benzene Sulfonate (SDBS) and polymers such as Polyacrylamide (PAM) were used to investigate their effect on the oil-water interface system at the atomic level. Molecular dynamics simulation was carried out using Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) to calculate the diffusion coefficient and Interface Formation Energy (IFE) value for the addition of the surfactant and polymers. The simulation results show that the addition of the surfactant and polymers affects the water-oil interface system differently. The diffusion coefficient results indicates that there are strong interactions between SDBS and dodecane with D of 0.01358. While for PAM, the interactions with water are more significant with D of 0.059. The results of the IFE calculation value also show that the addition of SDBS and PAM makes the water-oil interface system more stable with the negative IFE value of -197.51 and -13.13 Kcal/mol respectively. The results of this study will be used as a reference and a basis for designing new surfactants or polymers that will led to more oil recovery.
4D Seismic Inversion and Rock Physic Modeling to Monitor CO2 Injection at Carbon Capture and Storage Project in The Utsira Formation, Sleipner Field, North Sea, Norway Bastian Torus; Kunti Yoga Arista; Elta Purnama Wulan; Muhammad Lubis; Ida Herawati; Waskito Pranowo
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.14088

Abstract

Carbon Capture and Storage (CCS) is used at Sleipner Field due to the implementation of a carbon emission tax off the coast of Norway. This project causes the fluid at the Utsira Formation as a reservoir to be replaced by CO2, so the elastic property of the reservoir rock will change. Because of that, the 3D seismic survey was carried out in 1994 (baseline) and re-acquisition in 2001 (monitor) to observe CO2 distribution and changes in rock properties. This study aims to monitor the distribution of CO2 as well as changes in reservoir rock's acoustic and elastic parameters. This research performed the cross-equalization, 4D Seismic Inversion model-based, and rock physics modeling process. From data processing, obtained information that CO2 spreads laterally, then moves to the northeast and does not penetrate the overburden. Also, we get the NRMS value of 0.443068 and the cross-correlation value of 0.907426. 4D Inversion results reveal a change in the reflector at the reservoir zone, as indicated by the velocity pushdown caused for a decrease in seismic velocity owing to CO2. In addition, rock physics modeling provides that changes occur in bulk modulus, Vp, Vs, density, and AI. From the process, there are differences in AI values where the Inversion results show a decrease in AI values of 2.9%, while rock physics modeling shows a 12% reduction.
4-dimensional seismic interpretation to monitor CO2 injection in carbon capture & storage project of Sleipner field, North Sea, Norway using inversion method Brimas Aptanindia Pangestu; Muhammad Lubis
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.14098

Abstract

Sleipner is the world's first commercial Carbon Capture and Storage (CCS) project, located off the coast of Norway, with the goal of reducing carbon emissions by capturing CO2 and storing it in a utsira saline aquifer sandstone reservoir capable of storing up to 600 billion tonnes of CO2. The CO2 injection in these projects increases year after year, so the CO2 development must be monitored to see the distribution pattern and its implications for the reservoir zone. The purpose of this research is to calculate and model the CO2 distribution resulting from acoustic impedance inversion using 4-dimensional inversion, to calculate the repeatability from seismic data between baseline and monitor using the Normalized Root Mean Square attribute. In the processing, baseline and monitor data must be matched in the overburden zone using a cross-equalization process so that the inversion process. The results revealed a correlation between the two seismic data sets (baseline and monitor) with the classification of Reasonable Repeatability, and CO2 distribution in a securely stored reservoir that spreads laterally and does not leak.
Numerical Simulation Study of Steam Injection Optimization in Shallow Reservoir Iwan Budi; Ajeng Oktaviani
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.14099

Abstract

In an EOR project, process improvement must be continually pursued since EOR is often marginally profitable. In steamflood EOR project, steam injection rate is very important parameter to ensure that each pattern reach maturity within a certain early period that result in high oil recovery and meet the economic hurdles. In particularly shallow formation settings, steam injection target is often difficult to achieve because limited by fracturing pressure to avoid breaching the cap rock and creating environmental problem. In this study we simulate steam injection in a typical heavy oil reservoir (high API, shallow depth, low pressure) to enable optimization of steam injection. A model has been built using typical shallow reservoir in using Builder-CMG. Wellan data, fluid model and operating conditions (injection strategy, steam quality) and expected/ forecasted performance. CMOST package is then used to design optimization study by varying the steam injection rate. The best scenario is based on the lowest reservoir pressure and cumulative SOR. We created three development options: regular inverted 7-spot 15.5-acre pattern, horizontal well and pattern size reduction (PSR). From this numerical study it is found that for the case studied, steam injection rate can be ramped up from 250 - 300 BSPD within 6-7 years, followed by peak production. A wind down injection rate to 0 can be used after this peak production to achieve CSOR target of 3-4 bbl of steam/bbl of oil. If a quicker SBT is required, then more steam injectivity is needed to put underground. Several scenarios can be considered as follow: (1) reducing the pattern size (thus adding steam via additional injection wells) and (2) utilizing horizontal wells.
Geothermal Well Casing Design with High Temperature and Corrosive in Q Field Raka Wardana; Muhammad Akhwan
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.14100

Abstract

Casing design is the most crucial phase of drill a geothermal well. As most of problems could be prevented beforehand by having an excellent well casing design. Prior and present well problems may be assessed to enhance casing design mitigate leading causes and its relationship to well casing. This research is about geothermal well casing design by analyzing in advance the problems that the casing may encounter during drilling and production through NPT & casing damage analysis. The purpose is to construct design depth and grade of geothermal well casing from the effects of axial, hoop, and thermal stress, as well as corrosion. The method used is to analyze the NPT from the available DDR data of the wells and then analyze the damage that occurs to the production wells which then the results of these analysis’ become recommendations for of the next well casing design. The results show Well FDL-33 will use tie-back system with surface casing 20” K55 133 ppf at 350 mMD with semi-premium connection, production casing 13-3/8” L80 68 ppf at 1475.8 mMD with premium connection, production tieback casing 13-3 /8” L80 68 ppf at 300 mMD with premium connection, and production liner 9-5/8” L80 40 ppf at 2695.3 mMD with semi-premium connection.
Special Issue: the International Conference on Upstream Energy and digitalization (ICU-PERTAIN) 2022 Tirta Rona Mayangsari; Harya Dwi Nugraha; Fiki Hidayat
Journal of Earth Energy Engineering Vol. 12 No. 2s (2023): IC-UPERTAIN 2022
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This is an international conference organized by Universitas Pertamina collaborated with Universitas Islam Riau as publishing partner through Journal of Earth Energy Engineering (JEEE) and Journal of Geoscience, Engineering, Environment, and Technology (JGEET). The theme of the International Conference on Upstream Energy and digitalization (ICU-PERTAIN) 2022: “Upstream Industries and 4.0 things to overcome the challenges in a low carbon world”. This theme means identifying the key challenges and opportunities of implementation upstream technology and utilization of big data, data science, machine learning, IoT, and many more to achieve national production target and strive to energy transition.

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