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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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| 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 |
| Summary: | 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. |
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