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 …

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 …

Understanding the uncertainty of a neural network's (NN) predictions is essential for many
purposes. The Bayesian framework provides a principled approach to this, however …

In the last decade, ensemble-based methods have been widely investigated and applied for
data assimilation of flow problems associated with atmospheric physics and petroleum …

The use of the ensemble smoother (ES) instead of the ensemble Kalman filter increases the
nonlinearity of the update step during data assimilation and the need for iterative …

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 …

Simulation is the fastest developing branch of geostatistics and simulating facies inside
reservoirs and orebodies is the most exciting part of this. Several methods have been …

With the advances in smart well technology, substantially higher oil recovery can be
achieved by intelligently managing the operations in a closed-loop optimization framework …

In preparation for the SPE Applied Technology Workshop (ATW) held in Brugge in June
2008, a unique benchmark project was organized to test the combined use of waterflooding …

For an oil well to be said to have been successfully and conclusively drilled, the drilling fluid
lies at the heart of the solution. Therefore, the guarantee to solving issues in oil well drilling …