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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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| 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 |
| Summary: | 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 />
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at t (posterior). This is called the method of updating. In the continuous <br />
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updating of reservoir parameters, the method used in this final project is Ensemble Kalman Filter (EnKF). EnKF is an algorithm that combines models <br />
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and observations for the nonlinear case. In this final, EnKF method used to <br />
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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 />
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analytic case, assuming no interaction between wells. |
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