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Smartwater flooding is one of the secondary oil recovery methods after natural flow and currently deemed as new emerging research trend. The method shows significant improvement of oil recovery factor, especially in carbonate reservoirs which majorly are oil-wet. Smartwater flooding cost has also be...

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Main Author: ULIL AMRI (NIM : 12212018), MUHAMMAD
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/29357
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:29357
spelling id-itb.:293572018-05-15T14:01:34Z#TITLE_ALTERNATIVE# ULIL AMRI (NIM : 12212018), MUHAMMAD Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/29357 Smartwater flooding is one of the secondary oil recovery methods after natural flow and currently deemed as new emerging research trend. The method shows significant improvement of oil recovery factor, especially in carbonate reservoirs which majorly are oil-wet. Smartwater flooding cost has also been proved cheaper than the other EOR methods because of low capital investment and operating cost. <br /> <br /> Smartwater is made from diluted seawater with a particular ionic composition. The researches about productivity of this method are able to be performed in laboratory experiment, simulation using certain software, or field trial. Based on the researches, smartwater injection can improve oil recovery up to 18%. Whilst in field trial studies, smartwater gives an incremental oil production as high as 7%. <br /> <br /> In this final project, the simulation method is implemented on carbonate reservoir at Field X to prove the theory that there will be an increase of oil recovery resulted by smartwater flooding and validate the conventional simulation model with LOWSALT model. <br /> <br /> The simulation result shows that different salinity levels of injection fluid would influence the oil recovery factor. Different simulation models also affect the results as in the LOWSALT model, salt concentrations of the formation water and injection fluid were being modeled so the result was more factual. <br /> <br /> After 10 years of simulation, there is an increase in recovery factor of 3.91% than the natural flow case. Whilst after 50 years of simulation, the increase of recovery factor is 10.35%. The increase of recovery factor is affected by injection parameters and Field X parameters, i.e. well distribution, well location, and well space. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Smartwater flooding is one of the secondary oil recovery methods after natural flow and currently deemed as new emerging research trend. The method shows significant improvement of oil recovery factor, especially in carbonate reservoirs which majorly are oil-wet. Smartwater flooding cost has also been proved cheaper than the other EOR methods because of low capital investment and operating cost. <br /> <br /> Smartwater is made from diluted seawater with a particular ionic composition. The researches about productivity of this method are able to be performed in laboratory experiment, simulation using certain software, or field trial. Based on the researches, smartwater injection can improve oil recovery up to 18%. Whilst in field trial studies, smartwater gives an incremental oil production as high as 7%. <br /> <br /> In this final project, the simulation method is implemented on carbonate reservoir at Field X to prove the theory that there will be an increase of oil recovery resulted by smartwater flooding and validate the conventional simulation model with LOWSALT model. <br /> <br /> The simulation result shows that different salinity levels of injection fluid would influence the oil recovery factor. Different simulation models also affect the results as in the LOWSALT model, salt concentrations of the formation water and injection fluid were being modeled so the result was more factual. <br /> <br /> After 10 years of simulation, there is an increase in recovery factor of 3.91% than the natural flow case. Whilst after 50 years of simulation, the increase of recovery factor is 10.35%. The increase of recovery factor is affected by injection parameters and Field X parameters, i.e. well distribution, well location, and well space.
format Final Project
author ULIL AMRI (NIM : 12212018), MUHAMMAD
spellingShingle ULIL AMRI (NIM : 12212018), MUHAMMAD
#TITLE_ALTERNATIVE#
author_facet ULIL AMRI (NIM : 12212018), MUHAMMAD
author_sort ULIL AMRI (NIM : 12212018), MUHAMMAD
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/29357
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