The Ensemble Kalman Filter (EnKF) can be used as a method to estimate reservoir parameters, such as permeability and porosity. These parameters play an important role in characterizing reservoir performance. The EnKF is a sequential estimation method that uses the parameters at t "“ 1 (called prior) to estimate the parameters at t adjusted by observations at t (called posterior). In this paper, the EnKF was used to estimate the reservoir parameters for the case of a linear flow of two interacting production-injection oil wells. The Laplace transform was used to obtain an analytical solution of the diffusivity equation. A state space representation was generated using the analytical solution. A simulation study showed that the proposed metho...
Multiphase flows through reservoir rocks are a universal and complex phenomenon. Relative permeabili...
The ensemble Kalman filter (EnKF) appears to give good results for matching production data at exist...
This work presents the development of a method based on the ensemble Kalman filter (EnKF) for contin...
The Ensemble Kalman Filter (EnKF) can be used as a method to estimate reservoir parameters, such as ...
The Ensemble Kalman Filter (EnKF) has been used for history matching of the reservoir models. The me...
In a reservoir application, there are a large number of parameters that can be considered for estima...
ii For matching current production data, Ensemble Kalman Filter (EnKF) is very efficient for real-ti...
AbstractInformation on the permeability at depth is important for the exploitation of geothermal res...
In reservoir management it is important with reservoir models that have good predictive abilities. S...
The study has been focused on examining the usage and the applicability of ensemble Kalman filtering...
International audienceThe Ensemble Kalman Filter (EnKF) has been successfully applied in petroleum e...
In reservoir history matching or data assimilation, dynamic data, such as production rates and press...
In many physical applications we want to characterize the parameters of a system based on indirect o...
Efficient management of smart oilfields requires a reservoir model that can provide reliable forecas...
In reservoir history matching or data assimilation, dynamic data such as production rates and pressu...
Multiphase flows through reservoir rocks are a universal and complex phenomenon. Relative permeabili...
The ensemble Kalman filter (EnKF) appears to give good results for matching production data at exist...
This work presents the development of a method based on the ensemble Kalman filter (EnKF) for contin...
The Ensemble Kalman Filter (EnKF) can be used as a method to estimate reservoir parameters, such as ...
The Ensemble Kalman Filter (EnKF) has been used for history matching of the reservoir models. The me...
In a reservoir application, there are a large number of parameters that can be considered for estima...
ii For matching current production data, Ensemble Kalman Filter (EnKF) is very efficient for real-ti...
AbstractInformation on the permeability at depth is important for the exploitation of geothermal res...
In reservoir management it is important with reservoir models that have good predictive abilities. S...
The study has been focused on examining the usage and the applicability of ensemble Kalman filtering...
International audienceThe Ensemble Kalman Filter (EnKF) has been successfully applied in petroleum e...
In reservoir history matching or data assimilation, dynamic data, such as production rates and press...
In many physical applications we want to characterize the parameters of a system based on indirect o...
Efficient management of smart oilfields requires a reservoir model that can provide reliable forecas...
In reservoir history matching or data assimilation, dynamic data such as production rates and pressu...
Multiphase flows through reservoir rocks are a universal and complex phenomenon. Relative permeabili...
The ensemble Kalman filter (EnKF) appears to give good results for matching production data at exist...
This work presents the development of a method based on the ensemble Kalman filter (EnKF) for contin...