Initial model selection for efficient history matching of channel reservoirs using Ensemble Smoother
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.03.020
Abstract: Abstract Ensemble Smoother (ES) is one of popular reservoir characterization methods in petroleum engineering. It updates unknown reservoir parameters by integrating available data and utilizing multiple number of models, known as ensemble. In addition, ES… read more here.
Keywords: ensemble members; channel reservoirs; history matching; model ... See more keywords
Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2017.2745178
Abstract: In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified… read more here.
Keywords: ensemble members; selected region; ensemble weather; changes selected ... See more keywords
A Heuristic Approach for Precipitation Data Assimilation: Characterization Using OSSEs
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-19-0034.1
Abstract: We introduce a new technique for the assimilation of precipitation observations, the localized ensemble mosaic assimilation (LEMA). The method constructs an analysis by selecting, for each vertical column in the model, the ensemble member with… read more here.
Keywords: assimilation; ensemble members; heuristic approach; data assimilation ... See more keywords