FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT
Fluid injection activities are carried out as an effort to increase the rate of oil and gas production in the "RR" Field. Fluid injection activities need to be monitored for changes in fluid migration patterns and connectivity between injection wells and production wells. Monitoring cha...
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id-itb.:865682024-11-18T08:09:41ZFLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT Putri Sharfina, Nadira Indonesia Final Project TL-ANT, fluid migration, Vs, connectivity INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/86568 Fluid injection activities are carried out as an effort to increase the rate of oil and gas production in the "RR" Field. Fluid injection activities need to be monitored for changes in fluid migration patterns and connectivity between injection wells and production wells. Monitoring changes in fluid migration can be done by applying geophysical methods, one of which is the Time-lapse Ambient Noise Tomography (TL-ANT) method. The TL-ANT method utilizes seismic noise signals recorded at 37 seismic stations installed in the study area continuously over a certain period of time. The TL-ANT method is based on new signals obtained from cross-correlation between two seismic stations. The stages carried out are the identification of the Green Function for each pair of stations and the calculation of the group velocity value for each period taken from the dispersion curve. The next step is the inversion of the group velocity to obtain a 3D Vs tomography image. The data used are passive seismic measurement data for 7 days in the 5th and 6th weeks after injection. In this final project, tomography images are displayed in two types of tomography map cross-sections, namely horizontal cross-sections at a depth of 100-400 meters and vertical cross-sections in east-west and north-south orientations around the injection wells. Based on these results, the low Vs anomaly profile is consistently seen around the injection wells which is interpreted as an indication of the distribution of fluids resulting from fluid injection activities. In addition, there is connectivity between the W06 injection well and the W01, W03, and W08 production wells and between the W07 injection well and the W04 and W10 production wells. While the high anomaly indicates the geological structure text |
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Fluid injection activities are carried out as an effort to increase the rate of oil and
gas production in the "RR" Field. Fluid injection activities need to be monitored
for changes in fluid migration patterns and connectivity between injection wells and
production wells. Monitoring changes in fluid migration can be done by applying
geophysical methods, one of which is the Time-lapse Ambient Noise Tomography
(TL-ANT) method. The TL-ANT method utilizes seismic noise signals recorded at
37 seismic stations installed in the study area continuously over a certain period of
time. The TL-ANT method is based on new signals obtained from cross-correlation
between two seismic stations. The stages carried out are the identification of the
Green Function for each pair of stations and the calculation of the group velocity
value for each period taken from the dispersion curve. The next step is the inversion
of the group velocity to obtain a 3D Vs tomography image. The data used are
passive seismic measurement data for 7 days in the 5th and 6th weeks after
injection. In this final project, tomography images are displayed in two types of
tomography map cross-sections, namely horizontal cross-sections at a depth of
100-400 meters and vertical cross-sections in east-west and north-south
orientations around the injection wells. Based on these results, the low Vs anomaly
profile is consistently seen around the injection wells which is interpreted as an
indication of the distribution of fluids resulting from fluid injection activities. In
addition, there is connectivity between the W06 injection well and the W01, W03,
and W08 production wells and between the W07 injection well and the W04 and
W10 production wells. While the high anomaly indicates the geological structure |
format |
Final Project |
author |
Putri Sharfina, Nadira |
spellingShingle |
Putri Sharfina, Nadira FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT |
author_facet |
Putri Sharfina, Nadira |
author_sort |
Putri Sharfina, Nadira |
title |
FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT |
title_short |
FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT |
title_full |
FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT |
title_fullStr |
FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT |
title_full_unstemmed |
FLUID PATTERN CHANGE MONITORING USING TIME-LAPSE AMBIENT NOISE TOMOGRAPHY (TL-ANT) METHOD AT |
title_sort |
fluid pattern change monitoring using time-lapse ambient noise tomography (tl-ant) method at |
url |
https://digilib.itb.ac.id/gdl/view/86568 |
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