Improving the Algal Bloom Prediction on the North Sea by Dual Ensemble Kalman Filter in GEM Model

Increasingly, the phytoplankton blooms (algal blooms) become a public health concern and a worldwide ecological problem. The Generic ecological model (GEM) plays a very important role to assess ecological quality of the Dutch coastal waters and the southern North Sea. Algal blooms can also be predicted by the GEM model mainly through chlorophyll...

Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise

Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties is crucial. The author is concerned with estimating one of the properties of the field: the permeability of a reservoir. To characterize the fluid flow, a two phase (oil-water)...