PEMODELAN MENGGUNAKAN MIXED NON-LINEAR PROGRAMMING UNTUK MEMPERCEPAT MASALAH OPTIMISASI MULTI OBJEKTIF NON-LINIER PADA INJEKSI ULANG CO2 DALAM PENYERAPAN KARBON DAN PENINGKATAN PEROLEHAN GAS & KONDENSAT
Carbon Capture Utilization Storage (CCUS) into geological storage (e.g., Enhanced Oil or Gas Recovery) provides a solution to reduce CO2 emissions, especially in Indonesia. However, it still remains a potential operational problem, such as sand problem phenomena in producer well. This study involves...
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| Format: | Dissertations |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/86634 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Carbon Capture Utilization Storage (CCUS) into geological storage (e.g., Enhanced Oil or Gas Recovery) provides a solution to reduce CO2 emissions, especially in Indonesia. However, it still remains a potential operational problem, such as sand problem phenomena in producer well. This study involves extensive experimental works, namely time-lapse dry mass measurements, brine compositions and pH analysis, X-Ray Diffraction (XRD), Scanning Electron Microscope – Energy Dispersive Spectroscopy (SEM-EDS), petrographic thin section analysis, porosity measurements, and elastic wave velocity measurements. CO2-brine-rock batch experimental was designed and utilized to observe mineral dissolution, pore structures alteration as well as rock physics alteration caused by CO2-brine-rock interactions.
This study used an outcrop sample of dolomite-rich sandstone from Air Benakat formation, South Sumatera, Indonesia. Our experimental works observed dolomite dissolution, secondary porosity development as well as rock strength reduction indirectly due to CO2-brine-rock interactions. The results of elastic wave velocity measurements (i.e. P & S waves) were then used to observe CO2-brine-rock interaction towards a considerable sand onset prediction model. Thus, the sand onset model demonstrates that considering CO2-brine-rock interactions could help to design better sand management strategy in producer well. |
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