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Journal of Geoscience, Engineering, Environment, and Technology
Published by Universitas Islam Riau
ISSN : 2503216X     EISSN : 25415794     DOI : 10.25299
Core Subject : Science, Social, Engineering,
Earth & Planetary Sciences Engineering Environmental Science Physics
JGEET (Journal of Geoscience, Engineering, Environment and Technology) published the original research papers or reviews about the earth and planetary science, engineering, environment, and development of Technology related to geoscience. The objective of this journal is to disseminate the results of research and scientific studies which contribute to the understanding, development theories, and concepts of science and its application to the earth science or geoscience field. Terms of publishing the manuscript were never published or not being filed in other journals, manuscripts originating from local and International. JGEET (Journal of Geoscience, Engineering, Environment and Technology) managed by the Department of Geological Engineering, Faculty of Engineering, Universitas Islam Riau.
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Articles 595 Documents
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Geochemical Properties and Critical Mineral Potential of Ni-Laterite Deposits in Advancing Clean Energy Technology Development Fatimah, Dian Yesy; Setiawan, Erwin; Prasojo, Adhen Salahudin Al Ayubi; Ulvah, Febria; Kurniawan, Rizki
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24150

Abstract

Critical elements refer to a group of elements that possess strategic significance and play a vital role in the national economy, as well as in national defense and security. These minerals are at risk of supply disruptions and lack suitable substitutes. In clean energy industries, critical elements are particularly important, especially for electric vehicle components. Aligned with national commitments expressed in the G20 Leaders’ Declaration. Nickel laterite deposits are one of the key sources with high potential for critical elements. This research focuses on critical elements in nickel deposits, which are Ni, Co, Mn, Cr and Al, and their resource potential in Kolaka, Southeast Sulawesi. The methods used are geochemical data, field data, and reference studies. The methods used in the research include literature study, X-Ray Fluorescence (XRF) geochemical analysis of all samples using the Exploratory Data Analysis (EDA) method using Microsoft Excel, Data modelling using scatter plot and heatmap of spearman correlation. The findings indicate that the enrichment of critical elements such as cobalt (Co), manganese (Mn), aluminum (Al), and chromium (Cr) is concentrated in the limonite zone and associated with Fe with various ranges of 0.04-0.14% Co, 0.27-1.13% MnO, 1.03-4.60%Cr2O3, 2.82-9.94% Al2O3 content, whereas nickel (Ni) is enriched in the saprolite zone and associated with Mg with a various range 0.5-3.17%Ni. Overall, the concentration of critical elements other than Ni and Co is typically lower in nickel laterite deposits with high nickel content. With continuous advancements in extraction technologies through research, all zones of laterization in nickel laterite deposits, not just the nickel-rich saprolite zone, could be optimally utilized. This would enhance the potential of nickel laterite deposits as a valuable commodity, contributing significantly to the acceleration of the energy transition towards cleaner energy through clean energy-based technologies.
Corrosion Rate Analysis in Material Selection for Tubing in CO2 Injection Process at Well K-28 Disti, Salsabila Meisya; Rubiandini, Rudi
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24168

Abstract

This research aims to analyze the corrosion level of the tubing material used in CO2 injection at well K-28. Four types of carbon steel tubing, 13Cr, super 13Cr, and super 15Cr, were analyzed under shut-in and injection conditions using experimental data from a previously published paper titled “Material Selection and Corrosion Rate Analysis for CO2 Injection Well: A Case Study of K1 Field CO2 Sequestration Project”. The research results in eight corrosion rate equations for each condition and type of tubing. Based on the analysis, super 15Cr shows the best corrosion resistance, both in shut-in and injection conditions, with a corrosion rate ranging from 0.00053 mm/year to 0.00085 mm/year at temperatures of 25-35°C and pH 3.08-3.09. The research also showed that the temperature from the surface to the bottom hole and pH had a significant impact on the corrosion rate. Data was processed using Excel and StatsModels library of Python machine learning to estimate the corrosion rate based on these parameters. Super 15Cr is recommended as the most corrosion-resistant tubing material for use in high corrosion potential environments during the CO2 injection process in well K-28. This conclusion is based on a combination of literature studies, experiments, and regression analysis, which identify super 15Cr as the optimal choice for minimizing corrosion risk in this application.
Identification the Level of Social Vulnerability of the Tsunami Disaster in the Coastal Area of Bengkulu City, Indonesia Mayasari, Zulfia Memi; Bertham, Yudhi Harini; Farid, Muhammad; Hadi, Arif Ismul
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.24177

Abstract

This study investigates the spatial dynamics of social vulnerability to tsunami hazards in Bengkulu City by applying the BNPB (2012) framework as a national reference for index-based assessments. Five key social indicators: population density, gender ratio, poverty, disability, and age were analyzed using spatial techniques and secondary socio-demographic data to identify spatial disparities in vulnerability across sub-districts. The findings reveal that Teluk Segara and Ratu Samban Sub-Districts are the most socially vulnerable areas, driven not only by high population density and poverty but also by their low-lying coastal topography, direct exposure to the Indian Ocean, and limited evacuation accessibility. In contrast, inland sub-districts such as Selebar and Singaran Pati demonstrate lower vulnerability levels due to their higher elevation and greater distance from the coast. These spatial variations indicate that social vulnerability in Bengkulu City is strongly influenced by the interaction between socio-economic vulnerability and oceanographic conditions. The study emphasizes the importance of integrating social and oceanographic dimensions into tsunami risk assessments to better reflect site-specific realities and support more effective mitigation planning.  Teluk Segara and Ratu Samban Sub-Districts need to be a priority for targeted preparedness efforts, improved evacuation infrastructure, and the restoration of coastal ecosystems is essential to reduce tsunami impacts. The results contribute to advancing integrated coastal disaster risk management in Indonesia by reinforcing the need to link human vulnerability with coastal environmental processes to achieve sustainable and resilient coastal communities.
Evaluation of Gas Lift Deepening Design Using a Retrofit Gas Lift System to Increase Well Production in an Offshore Field: Case Study of Well S-7 Suhartanto, Surya Arif Wibowo; Budi, Iwan Setya; Damargalih, Yono
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24189

Abstract

S-7 well is a horizontal well in the NDF Field that produces hydrocarbons from carbonate formation for over seven years using gas lift. Over time, S-7 well has experienced a significant decline in production due to reservoir pressure along with an increase in water cut. To address this issue, a well intervention was conducted to deepen the injection point by installing Retrofit Gas Lift technology, aiming to enhance the well's production to an optimal level. This research focuses on evaluating the application of Gas Lift Deepening using Retrofit Gas Lift (RGL) in Well S-7 through well modeling methods with PROSPER software and providing recommendations for an optimal Gas Lift Deepening design. The study analyzes well modeling for Well S-7 before and after RGL installation, validated using well test data to compare production performance in both scenarios. The evaluation proceeds by identifying the parameters that influence the effectiveness of the Retrofit Gas Lift (RGL), followed by designing an optimized RGL system to enhance production performance. Based on the research, the installation of the Retrofit Gas Lift (RGL) in Well S-7 resulted in an increase in the production rate of 78.58 STB/d. Sensitivity testing identified key factors influencing the production rate, including reservoir pressure, top node pressure, gas injection rate, coil tubing size, and coil tubing length. Design optimization by adjusting the top node pressure to 130 psi, coiled tubing length to 2000 ft, coiled tubing size to 1.75 in, and gas lift injection rate to 1 MMSCFD resulted in an increased flow rate of 220.86 STB/d and a drawdown of 751.77 psi.
The Laboratory Investigation of the Effect of Calcium Chloride (CaCl₂) Derived from Duck Eggshells on the Thickening Time and Strength of Drilling Cement Novrianti; Rico, Muhammad; Khalid, Idham; Purnamawati, Neneng; Herawati, Ira
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24246

Abstract

The thickening time and mechanical strength are vital in the performance of the drilling cement and are usually tested by API standards. The paper determines the role of duck eggshells' calcium chloride (CaCl2) as a natural accelerator on the cement slurry properties. CaCl2 was prepared by a regulating reaction between eggshell powder and 1M HCl and then was mixed with the Class G cement at the 1%, 2%, 3%, and 4% weight proportions. The experimental findings show that the most preferred performance is observed when the CaCl2 is 4 percent, which reduces thickening time to 128 minutes and increases compressive strength to 4,464.62 psi and shear bond strength to 370.28 psi. These results imply that using waste materials as the source of CaCl2 bio-based accelerators would be a viable source that would be environmentally viable in the optimization of drilling cements
Correlation of CBR Values and Mackintosh Probe on Clay Soil with Variations of Bentonite, Kaolin and Sand Nugroho, Soewignjo Agus; Fatnanta, Ferry; Wibisono, Gunawan; Muliyono
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.24252

Abstract

Coastal areas are typically characterized by non-uniform soil properties, often featuring soft, water-saturated soils with high plasticity, which frequently results in low soil bearing capacity. This study aims to investigate the relationship between California Bearing Ratio (CBR) values and Mackintosh Probe (MP) test results by utilizing a mixture of clay soil comprising bentonite and kaolin with sand in various compositions. These mixtures were prepared as laboratory test samples to simulate the soil conditions in these areas. The primary objective of this research is to develop a faster and more efficient alternative method for estimating soil bearing capacity in coastal regions. A total of 81 samples were prepared with variations in moisture content, compaction levels, and the composition of sand and clay mixtures. Testing was conducted using both CBR and MP methods. The analysis revealed a significant positive correlation between MP and CBR values, represented by the linear regression model: CBR = 0.7498 * MP, with a coefficient of determination (R²) of 0.9542. This indicates that approximately 95.42% of the variation in CBR values can be predicted from the MP test results. The model's accuracy was further validated through training and testing using 5 randomly selected data points from the sample set. The findings suggest that the Mackintosh Probe can serve as a preliminary tool for estimating soil bearing capacity in coastal areas, particularly in field conditions where laboratory equipment is limited. However, for broader applicability, further validation of this model is necessary to accommodate more complex soil conditions in the field.
Semi-Automatic Segmentation of Igneous Rocks Thin Section Using SAGA: Application on Crystal Size Distribution (SCD) Based Residence Time Approximation Tangkulung, Tria Jessica; Terok, Johanes Timoty Jeremi; Nugroho, Rio Priandri; Hidayat, Muh Nur
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24271

Abstract

Crystal Size Distribution (CSD) is a quantitative method used to assess magmatic processes such as cooling rates, crystallization durations, and crystal growth dynamics. Traditionally, mineral segmentation in CSD analysis is performed manually, which is labor-intensive, particularly for large datasets. This study investigates a semi-automatic segmentation approach to improve efficiency in analyzing thin sections of igneous rocks. The segmentation process is divided into two methods: semi-automatic segmentation using SAGA software and manual segmentation for validation. The analysis focuses on phenocrysts (>0.2 mm) and microphenocrysts (0.2–<0.02 mm), with images taken using a polarizing microscope at 4x magnification. While the semi-automatic method showed limitations due to the thin section texture and the inherent characteristics of the OBIA algorithm, it proved effective in estimating magma residence time with an average absolute error of 0.4 years. Additionally, the method demonstrated a mean regression gradient error of 79% for microphenocrysts and 55% for phenocrysts, supporting its application in magma dynamics interpretation. This approach enhances the practicality of CSD analysis, particularly in large datasets, and provides a valuable tool for studying crystallization processes in igneous rocks. However, direct application for interpreting magma dynamic should be done with caution.
Landslide Susceptibility Mapping Using Logistic Regression Methods in Bogor Regency Assyidiqi, Sutan Vasya; Roviansah, Mohamad; Sujaka, Muhammad 'Azza; Nugroho, Rio Priandri; Misbahudin
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24273

Abstract

Landslides are a recurrent hazard in Bogor Regency, where steep volcanic terrain, high rainfall, varied lithology, land-use changes and active faults contribute to slope instability. This study presents the first regency-wide landslide susceptibility model using Logistic Regression supported by field validation. A dataset of 220 landslide occurrences from 2017 to 2022 and multiple geospatial factors including rainfall, slope, lithology, landcover, and NDVI was analyzed using a 70:30 train–test split to generate coefficient weights, probability surfaces and a binary susceptibility map derived from ROC-AUC thresholds. Landcover shows the strongest positive influence on landslide occurrence, whereas NDVI has the strongest negative effect, reflecting the stabilizing role of vegetation. Fault proximity exhibits near-zero influence, likely due to inactive structures or limited spatial resolution. The model achieved 82 percent accuracy with an AUC of 0.86. Susceptibility clustering near historical data suggests possible inventory bias. Improving model reliability will require more evenly distributed landslide data and UAV-based mapping to detect vegetation-covered past landslides.
Seismic Multiattribute Application for Porosity Distribution at F3 Block, North Sea Nurrochmah, Andryana Miftah; Herawati, Ida
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24297

Abstract

Reservoir characterization is essential in hydrocarbon exploration to understand subsurface properties, with porosity being a key indicator of storage capacity. This study focuses on mapping porosity in the FS8 interval of the F3 Block, North Sea, using a linear multi-attribute seismic approach. Post-stack seismic and well log data from four wells were utilized. A cross-plot of acoustic impedance (AI) and porosity logs shows a strong correlation, suggesting AI can be a useful attribute in the analysis. Acoustic impedance volumes were generated through model-based inversion, and a set of seismic attributes was selected using a stepwise regression method. The selected attributes—acoustic impedance, filtered impedance, amplitude envelope, and integrated absolute amplitude—were used to predict porosity values across the seismic volume. Cross-validation shows high correlation coefficients (training: 0.861; validation: 0.824) and low prediction errors (5.2% and 5.8%, respectively), indicating robust prediction accuracy. The resulting porosity distribution map reveals a spatial trend, with higher porosity in the shallower western area and lower porosity in the deeper eastern area.
Groundwater Potential in The Confined Aquifer Cibeureum Formation Using the Jacob Method Pump Test, Bandung – Soreang Groundwater Basin, Bandung City, West Java Province Priyono, Imam; Cahyaningtiyas, Martha Ayu
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24305

Abstract

High population growth increases demand for clean water. The greater the demand for clean water, the greater the extraction of groundwater. This large-scale extraction of groundwater is not balanced with the rate of groundwater recharge in aquifers, resulting in a decline in the water table. Groundwater subsidence is an ongoing problem in some areas of Indonesia, especially in densely populated areas. Bandung is one of the areas experiencing a decline in groundwater levels. The confined aquifer in the Cibeureum Formation of the Bandung-Soreang Groundwater Basin is one of the aquifers that is a source of clean water for the people of Bandung. Currently, the groundwater level in the aquifer continues to decline. The amount of potential groundwater discharge in this basin must be known, to limit the amount of groundwater withdrawal. This study aims to determine the amount of groundwater reserves, and ways to reduce the decline in groundwater levels in the basin. In this research, pumping test well data is used, which will be processed using the Jacob Method to obtain the value of groundwater reserves in the Bandung-Soreang Groundwater Basin. The amount of groundwater reserves in this basin is 67.50 L/sec. Meanwhile, the amount of groundwater is 43.87 L/sec.

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