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Abstract

Devegowda, Deepak, and Chao Gao, 2011, Reservoir characterization and uncertainty assessment using the ensemble Kalman Previous HitfilterNext Hit: Application to reservoir development, in Y. Z. Ma and P. R. La Pointe, eds., Uncertainty analysis and reservoir modeling: AAPG Memoir 96, p. 235–248.

DOI:10.1306/13301417M963485

Copyright copy2011 by The American Association of Petroleum Geologists.

Reservoir Characterization and Uncertainty Assessment Using the Ensemble Kalman Previous HitFilterNext Hit: 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 Previous HitfilterNext Hit for the purpose of reservoir characterization and uncertainty assessment through the assimilation of dynamic data. The key advantages of the ensemble Kalman Previous HitfilterNext Hit 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 Previous HitfilterTop formulation and describe some recent developments that address these challenges.

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