Recent progress on reservoir history matching: a review
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 …
to estimate reservoir model variables that caused the behavior. Obtaining even a single …
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 …
[图书][B] Rank issues
G Evensen, G Evensen - 2009 - Springer
It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …
cases where the number of measurements is larger than the number of members in the …
[图书][B] Plurigaussian simulations in geosciences
M Armstrong, A Galli, H Beucher, G Loc'h, D Renard… - 2011 - books.google.com
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 …
reservoirs and orebodies is the most exciting part of this. Several methods have been …
Efficient ensemble-based closed-loop production optimization
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 …
achieved by intelligently managing the operations in a closed-loop optimization framework …
Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother
SWA Canchumuni, AA Emerick… - Computers & Geosciences, 2019 - Elsevier
Ensemble-based methods have been applied with remarkable success for data assimilation
in geosciences. However, they sometimes fail to preserve the geological realism of the …
in geosciences. However, they sometimes fail to preserve the geological realism of the …
An iterative ensemble Kalman filter for multiphase fluid flow data assimilation
Y Gu, DS Oliver - Spe Journal, 2007 - onepetro.org
The dynamical equations for multiphase flow in porous media are highly non-linear and the
number of variables required to characterize the medium is usually large, often two or more …
number of variables required to characterize the medium is usually large, often two or more …
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder
When solving inverse problems in geophysical imaging, deep generative models (DGMs)
may be used to enforce the solution to display highly structured spatial patterns which are …
may be used to enforce the solution to display highly structured spatial patterns which are …
Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography
A Schöniger, W Nowak… - Water Resources …, 2012 - Wiley Online Library
Ensemble Kalman filters (EnKFs) are a successful tool for estimating state variables in
atmospheric and oceanic sciences. Recent research has prepared the EnKF for parameter …
atmospheric and oceanic sciences. Recent research has prepared the EnKF for parameter …
Using the EnKF for assisted history matching of a North Sea reservoir model
G Evensen, J Hove, HC Meisingset, E Reiso… - SPE Reservoir …, 2007 - onepetro.org
Abstract The ensemble Kalman filter (EnKF) has been used for history matching a simulation
model of a North Sea reservoir. Parameters such as initial fluid contacts, vertical …
model of a North Sea reservoir. Parameters such as initial fluid contacts, vertical …