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- 5Geostatistical Modeling
- 1Automatic History Matching
- 1Continuous Data Integration
- 1Continuous Modeling
- 1Continuous Variable
- 1Discrete Modeling
Constraining 3D Petroleum Reservoir Models to Petrophysical Data, Local Temperature Observations, and Gridded Seismic Attributes with the Ensemble Kalman Filter (EnKF)Download
A methodology based on the Ensemble Kalman Filter (EnKF) is proposed for petroleum reservoir characterization, using continuous integration of petrophysical core data, reservoir temperature observations, and gridded time-lapse acoustic impedances. The localization of updating and covariance...
Geostatistical modeling in presence of extreme values needs special attention. Certain extreme high values known as outliers require proper treatment or mineral resources may be overstated. A number of methodologies are proposed in this thesis to identify and manage outliers. The main goal of the...
Geological heterogeneity is often represented by assigning rock properties to grids of different block size. Some geological features are represented as discrete objects at the chosen grid block size and others are represented as continuous properties. There is a transition between the discrete...
Reservoir management tools use geostatistical models to make better decisions and improve hydrocarbon recovery. Developing improved numerical modeling techniques that lead to more accurate and precise geostatistical models will improve flow forecasting, hydrocarbon recovery, reservoir management...
Use of Temperature data for assisted history matching and characterization of SAGD heterogeneous reservoirs within EnKF frameworkDownload
The Ensemble Kalman Filter (EnKF), a parameter estimation approach using the real-time DTS temperature observations is proposed for automatic history matching and quantitative reservoir characterization of SAGD reservoirs. EnKF algorithm is coupled with the discrete cosine transform (DCT) for...