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 …
[图书][B] Rank issues
G Evensen, G Evensen - 2009 - Springer
It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …
cases where the number of measurements is larger than the number of members in the …
Modeling sustainability: population, inequality, consumption, and bidirectional coupling of the Earth and Human Systems
S Motesharrei, J Rivas, E Kalnay… - National Science …, 2016 - academic.oup.com
Over the last two centuries, the impact of the Human System has grown dramatically,
becoming strongly dominant within the Earth System in many different ways. Consumption …
becoming strongly dominant within the Earth System in many different ways. Consumption …
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 …
[图书][B] Particle swarm optimisation: classical and quantum perspectives
Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …
and is computationally simple and easy to implement, it is not a globally convergent …
Model–data synthesis in terrestrial carbon observation: methods, data requirements and data uncertainty specifications
MR Raupach, PJ Rayner, DJ Barrett… - Global Change …, 2005 - Wiley Online Library
Systematic, operational, long‐term observations of the terrestrial carbon cycle (including its
interactions with water, energy and nutrient cycles and ecosystem dynamics) are important …
interactions with water, energy and nutrient cycles and ecosystem dynamics) are important …
Marine geochemical data assimilation in an efficient Earth System Model of global biogeochemical cycling
We have extended the 3-D ocean based" Grid ENabled Integrated Earth system
model"(GENIE-1) to help understand the role of ocean biogeochemistry and marine …
model"(GENIE-1) to help understand the role of ocean biogeochemistry and marine …
Using the EnKF for assisted history matching of a North Sea reservoir model
G Evensen, J Hove, HC Meisingset, E Reiso… - SPE Reservoir …, 2007 - onepetro.org
Abstract The ensemble Kalman filter (EnKF) has been used for history matching a simulation
model of a North Sea reservoir. Parameters such as initial fluid contacts, vertical …
model of a North Sea reservoir. Parameters such as initial fluid contacts, vertical …
[HTML][HTML] Simultaneous estimation of microphysical parameters and atmospheric state with simulated radar data and ensemble square root Kalman filter. Part II …
Simultaneous Estimation of Microphysical Parameters and Atmospheric State with
Simulated Radar Data and Ensemble Square Root Kalman Filter. Part II: Parameter …
Simulated Radar Data and Ensemble Square Root Kalman Filter. Part II: Parameter …
[HTML][HTML] Error reduction and convergence in climate prediction
Error Reduction and Convergence in Climate Prediction in: Journal of Climate Volume 21 Issue
24 (2008) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
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