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[HTML][HTML] First principles and machine learning virtual flow metering: a literature review
Abstract Virtual Flow Metering (VFM) is an increasingly attractive method for estimation of
multiphase flowrates in oil and gas production systems. Instead of using expensive …
multiphase flowrates in oil and gas production systems. Instead of using expensive …
The ensemble Kalman filter in reservoir engineering—a review
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 …
sciences during the last couple of decades. In data assimilation, one aims at merging the …
Reservoir monitoring and continuous model updating using ensemble Kalman filter
The use of ensemble Kalman filter techniques for continuous updating of a reservoir model
is demonstrated. The ensemble Kalman filter technique is introduced, and thereafter applied …
is demonstrated. The ensemble Kalman filter technique is introduced, and thereafter applied …
Incorporating 4D seismic data in reservoir simulation models using ensemble Kalman filter
JA Skjervheim, G Evensen, SI Aanonsen, BO Ruud… - SPE journal, 2007 - onepetro.org
A method based on the ensemble Kalman filter (EnKF) for continuous model updating with
respect to the combination of production data and 4D seismic data is presented. When the …
respect to the combination of production data and 4D seismic data is presented. When the …
Near-well reservoir monitoring through ensemble Kalman filter
In the management of reservoirs it is an important issue to utilize the available data in order
to make accurate forecasts. In this paper a novel approach for frequent updating of the near …
to make accurate forecasts. In this paper a novel approach for frequent updating of the near …
History matching using the ensemble Kalman filter on a North Sea field case
This paper applies the ensemble Kalman filter (EnKF) to history match a North Sea field
model. This is, as far as we know, one of the first published studies in which the EnKF is …
model. This is, as far as we know, one of the first published studies in which the EnKF is …
[HTML][HTML] On the use of different constitutive models in data assimilation for slope stability
A recursive ensemble Kalman filter (EnKF) is used as the data assimilation scheme to
estimate strength and stiffness parameters simultaneously for a fully coupled hydro …
estimate strength and stiffness parameters simultaneously for a fully coupled hydro …
Review of two-phase flow models for control and estimation
Most model-based control and estimation techniques put limitations on the structure and
complexity of the models to which they are applied. This has motivated the development of …
complexity of the models to which they are applied. This has motivated the development of …
History matching and uncertainty quantification of discrete fracture network models in fractured reservoirs
Fractured reservoirs are highly heterogeneous and can be characterized by the probability
distributions of fracture properties in a discrete fracture network model. The relationship …
distributions of fracture properties in a discrete fracture network model. The relationship …
Integrated characterization of hydraulically fractured shale-gas reservoirs—production history matching
Advancements in horizontal-well drilling and multistage hydraulic fracturing have enabled
economically viable gas production from tight formations. Reservoir-simulation models play …
economically viable gas production from tight formations. Reservoir-simulation models play …