ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR
Oil plays an important role as a major fulfillment of the world's energy needs. Oil production is currently decreasing while demand for oil continues to rise. New ways of obtaining petroleum are required, one of which is the miscible CO2 displacement EOR technology. However, CO2 miscible inject...
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id-itb.:202582017-09-27T15:07:45ZANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR HAPSARI WIDYAWATI (NIM : 22209086), LUKI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/20258 Oil plays an important role as a major fulfillment of the world's energy needs. Oil production is currently decreasing while demand for oil continues to rise. New ways of obtaining petroleum are required, one of which is the miscible CO2 displacement EOR technology. However, CO2 miscible injection applications have not been done extensively on a large scale in the oil field except in the West Texas USA, due to the high mobility ratio between solvent and oil, the expensive solvent cost, corrosivity, high pressure required for miscibility, and high reservoir heterogeneity. The use of compositional simulator is one way to predict the performance of CO2 miscible displacement. The drawback is the length of time required to perform the simulation. To overcome this, early studies can be performed using CO2 Prophet streamtube simulator in a relatively shorter time before doing more detailed calculations using a compositional simulator. In this study, simulation results comparison between CO2 Prophet and ECLIPSE compositional simulator is conducted to analyze the limitations of CO2 Prophet to prevent misinterpretation of CO2 Prophet predicted results. The study is conducted through sensitivity analysis on the miscible relative permeability correlations used in CO2 Prophet, mixing parameter (ω), Qinj, reservoir pressure, and Dykstra Parsons coefficient. From this study, the results can be concluded as followed: The miscible relative permeability correlation that can approach the compositional simulation result is the saturation weighted average of oil and solvent relative permeability model. The greater value of ω will increase oil recovery. CO2 Prophet gave better results against simulation results done by ECLIPSE for the high injection rate because these conditions were close to incompressible approach. Increasing the reservoir pressure will increase oil recovery, but the increase in reservoir pressure above the MMP does not significantly increase oil recovery. Increasing the coefficient Dykstra Parsons will derive the oil recovery by lowering the vertical sweep efficiency. CO2 Prophet can only model the reservoir with formation permeability decreases from top to bottom. text |
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Oil plays an important role as a major fulfillment of the world's energy needs. Oil production is currently decreasing while demand for oil continues to rise. New ways of obtaining petroleum are required, one of which is the miscible CO2 displacement EOR technology. However, CO2 miscible injection applications have not been done extensively on a large scale in the oil field except in the West Texas USA, due to the high mobility ratio between solvent and oil, the expensive solvent cost, corrosivity, high pressure required for miscibility, and high reservoir heterogeneity. The use of compositional simulator is one way to predict the performance of CO2 miscible displacement. The drawback is the length of time required to perform the simulation. To overcome this, early studies can be performed using CO2 Prophet streamtube simulator in a relatively shorter time before doing more detailed calculations using a compositional simulator. In this study, simulation results comparison between CO2 Prophet and ECLIPSE compositional simulator is conducted to analyze the limitations of CO2 Prophet to prevent misinterpretation of CO2 Prophet predicted results. The study is conducted through sensitivity analysis on the miscible relative permeability correlations used in CO2 Prophet, mixing parameter (ω), Qinj, reservoir pressure, and Dykstra Parsons coefficient. From this study, the results can be concluded as followed: The miscible relative permeability correlation that can approach the compositional simulation result is the saturation weighted average of oil and solvent relative permeability model. The greater value of ω will increase oil recovery. CO2 Prophet gave better results against simulation results done by ECLIPSE for the high injection rate because these conditions were close to incompressible approach. Increasing the reservoir pressure will increase oil recovery, but the increase in reservoir pressure above the MMP does not significantly increase oil recovery. Increasing the coefficient Dykstra Parsons will derive the oil recovery by lowering the vertical sweep efficiency. CO2 Prophet can only model the reservoir with formation permeability decreases from top to bottom. |
format |
Theses |
author |
HAPSARI WIDYAWATI (NIM : 22209086), LUKI |
spellingShingle |
HAPSARI WIDYAWATI (NIM : 22209086), LUKI ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR |
author_facet |
HAPSARI WIDYAWATI (NIM : 22209086), LUKI |
author_sort |
HAPSARI WIDYAWATI (NIM : 22209086), LUKI |
title |
ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR |
title_short |
ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR |
title_full |
ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR |
title_fullStr |
ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR |
title_full_unstemmed |
ANALYSIS OF CO2 MISCIBLE INJECTION USING CO2 PROPHET STREAMTUBE SIMULATOR |
title_sort |
analysis of co2 miscible injection using co2 prophet streamtube simulator |
url |
https://digilib.itb.ac.id/gdl/view/20258 |
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1822919797026848768 |