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 …
Inverse methods in hydrogeology: Evolution and recent trends
Parameter identification is an essential step in constructing a groundwater model. The
process of recognizing model parameter values by conditioning on observed data of the …
process of recognizing model parameter values by conditioning on observed data of the …
Land data assimilation: Harmonizing theory and data in land surface process studies
Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
[HTML][HTML] Localization and sampling error correction in ensemble Kalman filter data assimilation
JL Anderson - Monthly Weather Review, 2012 - journals.ametsoc.org
Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation in:
Monthly Weather Review Volume 140 Issue 7 (2012) Jump to Content Jump to Main Navigation …
Monthly Weather Review Volume 140 Issue 7 (2012) Jump to Content Jump to Main Navigation …
An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering
Abstract The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation
algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to …
algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to …
Reducing uncertainty in geologic CO2 sequestration risk assessment by assimilating monitoring data
Geologic CO 2 sequestration sites usually have large uncertainty in geological properties,
such as uncertainty in permeability and porosity fields. Geological uncertainty leads to …
such as uncertainty in permeability and porosity fields. Geological uncertainty leads to …
Localization and regularization for iterative ensemble smoothers
Ensemble-based data assimilation methods have recently become popular for solving
reservoir history matching problems, but because of the practical limitation on ensemble …
reservoir history matching problems, but because of the practical limitation on ensemble …
Correlation-based adaptive localization with applications to ensemble-based 4D-seismic history matching
Ensemble-based history-matching methods have received much attention in reservoir
engineering. In real applications, small ensembles are often used in reservoir simulations to …
engineering. In real applications, small ensembles are often used in reservoir simulations to …
Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications
A Emerick, A Reynolds - Computational Geosciences, 2011 - Springer
Sampling errors can severely degrade the reliability of estimates of conditional means and
uncertainty quantification obtained by the application of the ensemble Kalman filter (EnKF) …
uncertainty quantification obtained by the application of the ensemble Kalman filter (EnKF) …
Ensemble smoother with multiple data assimilation to simultaneously estimate the source location and the release history of a contaminant spill in an aquifer
The source location and the time history of a pollutant released in an aquifer are very
relevant information for the design of effective remediation strategies. Usually, their …
relevant information for the design of effective remediation strategies. Usually, their …