Recent progress on reservoir history matching: a review
History matching is a type of inverse problem in which observed reservoir behavior is used
to estimate reservoir model variables that caused the behavior. Obtaining even a single …
to estimate reservoir model variables that caused the behavior. Obtaining even a single …
Adjoint-based optimization of multi-phase flow through porous media–a review
JD Jansen - Computers & Fluids, 2011 - Elsevier
The recovery of oil from subsurface reservoirs often requires the injection of water or gas to
maintain reservoir pressure and to displace the oil from injection to production wells. The …
maintain reservoir pressure and to displace the oil from injection to production wells. The …
Ensemble smoother with multiple data assimilation
In the last decade, ensemble-based methods have been widely investigated and applied for
data assimilation of flow problems associated with atmospheric physics and petroleum …
data assimilation of flow problems associated with atmospheric physics and petroleum …
Ensemble randomized maximum likelihood method as an iterative ensemble smoother
Abstract The ensemble Kalman filter (EnKF) is a sequential data assimilation method that
has been demonstrated to be effective for history matching reservoir production data and …
has been demonstrated to be effective for history matching reservoir production data and …
History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations
Abstract The ensemble Kalman filter (EnKF) has become a popular method for history
matching production and seismic data in petroleum reservoir models. However, it is known …
matching production and seismic data in petroleum reservoir models. However, it is known …
Production optimization in closed-loop reservoir management
C Wang, G Li, AC Reynolds - SPE journal, 2009 - onepetro.org
In closed-loop reservoir management, one periodically updates reservoir models by
integrating production data and then solves an optimal control problem to determine …
integrating production data and then solves an optimal control problem to determine …
Investigation of the sampling performance of ensemble-based methods with a simple reservoir model
The application of the ensemble Kalman filter (EnKF) for history matching petroleum
reservoir models has been the subject of intense investigation during the past 10 years …
reservoir models has been the subject of intense investigation during the past 10 years …
Real-time reservoir model updating using ensemble Kalman filter with confirming option
XH Wen, WH Chen - Spe Journal, 2006 - onepetro.org
Summary The ensemble Kalman Filter technique (EnKF) has been reported to be very
efficient for real-time updating of reservoir models to match the most current production data …
efficient for real-time updating of reservoir models to match the most current production data …
Closed-loop field development under uncertainty by use of optimization with sample validation
In this work, we develop and apply a general methodology for optimal closed-loop field
development (CLFD) under geological uncertainty. CLFD involves three major steps …
development (CLFD) under geological uncertainty. CLFD involves three major steps …
Ensemble-based optimization of the water-alternating-gas-injection process
Summary CO2-water-alternating-gas (CO2-WAG) flooding generally leads to higher
recovery than either continuous CO2 flooding or waterflooding. Although CO2 injection …
recovery than either continuous CO2 flooding or waterflooding. Although CO2 injection …