The ensemble Kalman filter in reservoir engineering—a review
There has been great progress in data assimilation within atmospheric and oceanographic
sciences during the last couple of decades. In data assimilation, one aims at merging the …
sciences during the last couple of decades. In data assimilation, one aims at merging the …
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 …
A review of closed-loop reservoir management
J Hou, K Zhou, XS Zhang, XD Kang, H **e - Petroleum Science, 2015 - Springer
The closed-loop reservoir management technique enables a dynamic and real-time optimal
production schedule under the existing reservoir conditions to be achieved by adjusting the …
production schedule under the existing reservoir conditions to be achieved by adjusting the …
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 …
[HTML][HTML] An iterative EnKF for strongly nonlinear systems
The study considers an iterative formulation of the ensemble Kalman filter (EnKF) for
strongly nonlinear systems in the perfect-model framework. In the first part, a scheme is …
strongly nonlinear systems in the perfect-model framework. In the first part, a scheme is …
Iterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications
The focus of this work is on an alternative implementation of the iterative-ensemble
smoother (iES). We show that iteration formulae similar to those used by Chen and Oliver …
smoother (iES). We show that iteration formulae similar to those used by Chen and Oliver …
High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation
We assess the impact of increasing the resolution of hydrologic modeling, calibration of
selected model parameters and assimilation of streamflow observation toward event-based …
selected model parameters and assimilation of streamflow observation toward event-based …
On the controllability and observability of networked dynamic systems
T Zhou - Automatica, 2015 - Elsevier
Some necessary and sufficient conditions are obtained for the controllability and
observability of a networked system with linear time invariant (LTI) dynamics. The topology …
observability of a networked system with linear time invariant (LTI) dynamics. The topology …
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder
We have developed a time-lapse seismic history matching framework to assimilate
production data and time-lapse seismic data for the prediction of static reservoir models. An …
production data and time-lapse seismic data for the prediction of static reservoir models. An …
Improved history matching of channelized reservoirs using a novel deep learning-based parametrization method
Most of the geological parametrization techniques used in history matching of sub-surface
formations including the deep learning-based methods could not capture the non-linear and …
formations including the deep learning-based methods could not capture the non-linear and …