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History matching is the process of modifying the parameters used in modeling in order to create harmony between the model with actual conditions based on measurable parameters of data during a certain time period. History does not allow the traditional matching update in accordance with the increase...

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Main Author: HERDIANI (NIM 10105026), RIAN
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/11260
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:11260
spelling id-itb.:112602017-09-27T11:43:08Z#TITLE_ALTERNATIVE# HERDIANI (NIM 10105026), RIAN Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11260 History matching is the process of modifying the parameters used in modeling in order to create harmony between the model with actual conditions based on measurable parameters of data during a certain time period. History does not allow the traditional matching update in accordance with the increase of dynamic data. In order to model up-to-date, the methods needed to update the reservoir parameters are continuous, the method used in this final project of ensemble Kalman filter (EnKF). EnKF is an algorithm that combines models and observations in nonlinear cases. In this final project, EnKF method used to estimate the permeability of the pressure data sequentially and handles the nonlinear model of a radial flow model (one well) in the case of analytical and numerical, using software Computer Modeling Group (CMG) as a reservoir fluid flow simulator. 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 History matching is the process of modifying the parameters used in modeling in order to create harmony between the model with actual conditions based on measurable parameters of data during a certain time period. History does not allow the traditional matching update in accordance with the increase of dynamic data. In order to model up-to-date, the methods needed to update the reservoir parameters are continuous, the method used in this final project of ensemble Kalman filter (EnKF). EnKF is an algorithm that combines models and observations in nonlinear cases. In this final project, EnKF method used to estimate the permeability of the pressure data sequentially and handles the nonlinear model of a radial flow model (one well) in the case of analytical and numerical, using software Computer Modeling Group (CMG) as a reservoir fluid flow simulator.
format Final Project
author HERDIANI (NIM 10105026), RIAN
spellingShingle HERDIANI (NIM 10105026), RIAN
#TITLE_ALTERNATIVE#
author_facet HERDIANI (NIM 10105026), RIAN
author_sort HERDIANI (NIM 10105026), RIAN
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/11260
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