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Sequential estimation of a parameter estimation method which uses the parameter at t-1 (prior) to estimate the parameters at t after the observation <br /> <br /> <br /> <br /> <br /> at t (posterior). This is called the method of updating. In the continuous &l...

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Main Author: OKTI SARI (NIM 10107038); Pembimbing : Prof. Dr. Sutawanir Darwis, EPI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/14149
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:14149
spelling id-itb.:141492017-09-27T11:43:01Z#TITLE_ALTERNATIVE# OKTI SARI (NIM 10107038); Pembimbing : Prof. Dr. Sutawanir Darwis, EPI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/14149 Sequential estimation of a parameter estimation method which uses the parameter at t-1 (prior) to estimate the parameters at t after the observation <br /> <br /> <br /> <br /> <br /> at t (posterior). This is called the method of updating. In the continuous <br /> <br /> <br /> <br /> <br /> updating of reservoir parameters, the method used in this final project is Ensemble Kalman Filter (EnKF). EnKF is an algorithm that combines models <br /> <br /> <br /> <br /> <br /> and observations for the nonlinear case. In this final, EnKF method used to <br /> <br /> <br /> <br /> <br /> estimate the permeability parameters of pressure data sequentially and handles nonlinear model of radial flow model of two wells in the reservoir to the <br /> <br /> <br /> <br /> <br /> analytic case, assuming no interaction between wells. 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 Sequential estimation of a parameter estimation method which uses the parameter at t-1 (prior) to estimate the parameters at t after the observation <br /> <br /> <br /> <br /> <br /> at t (posterior). This is called the method of updating. In the continuous <br /> <br /> <br /> <br /> <br /> updating of reservoir parameters, the method used in this final project is Ensemble Kalman Filter (EnKF). EnKF is an algorithm that combines models <br /> <br /> <br /> <br /> <br /> and observations for the nonlinear case. In this final, EnKF method used to <br /> <br /> <br /> <br /> <br /> estimate the permeability parameters of pressure data sequentially and handles nonlinear model of radial flow model of two wells in the reservoir to the <br /> <br /> <br /> <br /> <br /> analytic case, assuming no interaction between wells.
format Final Project
author OKTI SARI (NIM 10107038); Pembimbing : Prof. Dr. Sutawanir Darwis, EPI
spellingShingle OKTI SARI (NIM 10107038); Pembimbing : Prof. Dr. Sutawanir Darwis, EPI
#TITLE_ALTERNATIVE#
author_facet OKTI SARI (NIM 10107038); Pembimbing : Prof. Dr. Sutawanir Darwis, EPI
author_sort OKTI SARI (NIM 10107038); Pembimbing : Prof. Dr. Sutawanir Darwis, EPI
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/14149
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