Analysis of the performance of ensemble-based assimilation of production and seismic data
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- 作者：Alexandre A. Emerick emerick@petrobras.com.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Ensemble Kalman filter ; Ensemble smoother ; Multiple data assimilation ; Production data ; Seismic data
- 刊名：Journal of Petroleum Science and Engineering
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：139
- 期：Complete
- 页码：219-239
- 全文大小：16651 K
文摘
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This paper presents an investigation on the performance of ES-MDA to history match production and seismic data in a real field.
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ES-MDA resulted in very good data matches and plausible estimates of the reservoir properties.
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Localization is essential for the successful assimilation of production data and/or seismic data.
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Seismic data assimilation resulted in strong reduction in the ensemble variance.
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The matrix operations for the case of large number of measurements are presented.