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Although it is not long since the introduction of EnKF into petroleum engineering, this method is developing rapidly and shows huge potential for solving history matching problems because it can deal with the uncertainties.
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Such a method is developed and presented.
In [2], a numerically involved moment method is developed.
Moreover, the method is developed for the Cartesian sampling pattern.
A new FDI method is developed using adaptive estimation techniques.
Then the semi-supervised metric learning method is developed.
Firstly, the OC method is developed for multiple frequency constraints.
However, no method is developed specifically for sequencing data.
Then, a fixed-depth control method is developed.
The mathematical formulation of proposed learning method is developed.
The transfer matrix method is developed to conduct the investigation.
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