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| Reservoir static model updating by 4D seismic data using ensemble Kalman Filter method |
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ZHENG Zhan1, HUANG Xu ri2, LAN Rui fang3
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(1.Institute Resource and Information Technology in China University of Petroleum, Beijing 102249, China;2.Sunrise Petrosolution Technology Limited Company, Beijing 100101, China;3.Jiangsu Oilfield Branch Company, Jiangdu 225265, China)
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| Abstract: |
| The unknown reservoir properties are usually interpolated by using known data and priori knowledge. The results of the static model from this process could not agree well with production history and 4D seismic response. Taking the observation data as state vector, ensemble Kalman Filter (EnKF)is able to update the model and to minimize the mismatch of observed data and simulated data. Selecting 4D seismic attributes difference as observation data, the calculated efficiency is improved by choosing rational observation point. The updated models can represent heterogeneity of the reservoir and match the 4D seismic data well. |
| Key words: ensemble Kalman Filter (EnKF) 4D seismic data reservoir heterogeneity |
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