About This Item
- Full TextFull Text(subscription required)
- Pay-Per-View PurchasePay-Per-View
Purchase Options Explain
Share This Item
The AAPG/Datapages Combined Publications Database
AAPG Special Volumes
Abstract
Devegowda, Deepak, and Chao Gao,
DOI:10.1306/13301417M963485
2011 by The American Association of Petroleum Geologists.
Reservoir Characterization and Uncertainty Assessment Using the Ensemble Kalman Filter: Application to Reservoir Development
Deepak Devegowda,1 Chao Gao2
1University of Oklahoma, Norman, Oklahoma, U.S.A.
2University of Oklahoma, Norman, Oklahoma, U.S.A.
ABSTRACT
This chapter describes the ensemble Kalman filter for the purpose of reservoir characterization and uncertainty assessment through the assimilation of dynamic data. The key advantages of the ensemble Kalman filter approach are its ability to handle diverse measurements efficiently and in real time, thereby exploiting the continuous stream of data from operational well sensors and field monitoring systems. Two examples, including a field-level study, are presented to illustrate these advantages. Finally, we detail some of the difficulties associated with the ensemble Kalman filter formulation and describe some recent developments that address these challenges.
Pay-Per-View Purchase Options
The article is available through a document delivery service. Explain these Purchase Options.
| Watermarked PDF Document: $14 | |
| Open PDF Document: $24 |