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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Migasian
lukmana, allen haryanto
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Chemical Engineering, Chemistry & Bioengineering Chemistry Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science

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Perilaku Mol Komponen Mineral dan Akuatik dalam Penyimpanan Karbon (Carbon Capture Storage) dengan dan tanpa Sumur Injeksi Air Lukmana, Allen Haryanto; Kabul Pratiknyo, Avianto; Ragil Putradianto, Ristiyan; Putro Suryotomo, Andiko
Jurnal Migasian Vol 8 No 2 (2024): Jurnal Migasian
Publisher : LPPM Institut Teknologi Petroleum Balongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jm.v8i2.321

Abstract

This research aims to analyze the changes in mineral and aqueous component moles during Carbon Capture Storage (CCS) with and without water injection in a reservoir field. Using GEM reservoir simulation software, the study models interactions between CO2, reservoir minerals (Anorthite, Calcite, Kaolinite), and aqueous components (Ca++, Al+++, SiO2(aq), HCO3-, CO3--, OH-) over 189 years a time period. The simulation reveals that water injection significantly accelerates mineral dissolution and precipitation, affecting reservoir porosity, permeability, and fluid chemistry. Key findings include enhanced Calcite stability and Kaolinite formation with water injection, alongside noticeable changes in aqueous chemistry. These results provide crucial insights for optimizing water injection strategies in CCS projects and improving reservoir management. The study concludes that water injection enhances mineral stability and impacts ionic concentration in the subsurface environment, aiding in more efficient carbon storage solutions.
Construction of fuzzy systems based on fuzzy c-means clustering and singular value decomposition for predicting rate of penetration in geothermal drilling Abadi, Agus Maman; Mansyaroh, Akhid Khirohmah; Lukmana, Allen Haryanto; Harini, Lusi; Sugiyarto, Aditya Wisnugraha
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2190-2198

Abstract

The potential for geothermal energy is very abundant, but its utilization is still minimal. Therefore, the utilization of geothermal energy facility that has been installed must be optimized. This study aims to predict drilling rate of penetration using the first-order Sugeno’s fuzzy system. Fuzzy c-mean and singular value decomposition were used to form the rules and determined the parameters respectively. This study used in total of 6738 data of geothermal wells drilling in Indonesia. The results show that the rate of penetration prediction has accuracy 85.76% for data training and 87.72% for data testing, and it is better than the radial basis function neural networks (RBFNN) and RBFNN-singular value decomposition (SVD) methods.
Co-Authors Agus Maman Abadi Andiko Putro Suryotomo Harini, Lusi Kabul Pratiknyo, Avianto Mansyaroh, Akhid Khirohmah Ragil Putradianto, Ristiyan Sugiyarto, Aditya Wisnugraha