Computational Geosciences

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Application of diffuse source functions for improved flow upscaling
Computational Geosciences - Tập 24 - Trang 493-507 - 2019
Krishna Nunna, Ching-Hsien Liu, Michael J. King
A novel upscaling approach was previously introduced using pressure transient concepts which allowed us to distinguish between well-connected, weakly connected, and disconnected pay in the local upscaling region. The current work applies these same concepts to benchmark the upscaling formulation against existing upscaling techniques to test the impact of localization. The local flow field generate...... hiện toàn bộ
Instructions for Authors
Computational Geosciences - Tập 7 - Trang 325-330 - 2003
A geometric approach for natural rock blocks in engineering structures
Computational Geosciences - - 2010
Alparslan Turanboy
Successful application of multiscale methods in a real reservoir simulator environment
Computational Geosciences - Tập 21 - Trang 981-998 - 2017
K.-A. Lie, O. Møyner, J. R. Natvig, A. Kozlova, K. Bratvedt, S. Watanabe, Z. Li
For the past 10 years or so, a number of so-called multiscale methods have been developed as an alternative approach to upscaling and to accelerate reservoir simulation. The key idea of all these methods is to construct a set of prolongation operators that map between unknowns associated with cells in a fine grid holding the petrophysical properties of the geological reservoir model and unknowns o...... hiện toàn bộ
A DEIM driven reduced basis method for the diffuse Stokes/Darcy model coupled at parametric phase-field interfaces
Computational Geosciences - Tập 26 - Trang 1465-1502 - 2022
Stein K.F. Stoter, Etienne Jessen, Viktor Niedens, Dominik Schillinger
In this article, we develop a reduced basis method for efficiently solving the coupled Stokes/Darcy equations with parametric internal geometry. To accommodate possible changes in topology, we define the Stokes and Darcy domains implicitly via a phase-field indicator function. In our reduced order model, we approximate the parameter-dependent phase-field function with a discrete empirical interpol...... hiện toàn bộ
Finite element simulations of logging-while-drilling and extra-deep azimuthal resistivity measurements using non-fitting grids
Computational Geosciences - Tập 22 Số 5 - Trang 1161-1174 - 2018
Théophile Chaumont-Frelet, David Pardo, Ángel Rodríguez-Rozas
Multiscale ensemble filtering for reservoir engineering applications
Computational Geosciences - Tập 13 - Trang 245-254 - 2008
Wiktoria Lawniczak, Remus Hanea, Arnold Heemink, Dennis McLaughlin
Reservoir management requires periodic updates of the simulation models using the production data available over time. Traditionally, validation of reservoir models with production data is done using a history matching process. Uncertainties in the data, as well as in the model, lead to a nonunique history matching inverse problem. It has been shown that the ensemble Kalman filter (EnKF) is an ade...... hiện toàn bộ
Fast linear solver for diffusion problems with applications to pressure computation in layered domains
Computational Geosciences - Tập 18 - Trang 343-356 - 2014
P. van Slingerland, C. Vuik
Accurate simulation of fluid pressures in layered reservoirs with strong permeability contrasts is a challenging problem. For this purpose, the Discontinuous Galerkin (DG) method has become increasingly popular. Unfortunately, standard linear solvers are usually too inefficient for the aforementioned application. To increase the efficiency of the conjugate gradient (CG) method for linear systems r...... hiện toàn bộ
On the use of enriched finite element method to model subsurface features in porous media flow problems
Computational Geosciences - Tập 15 Số 4 - Trang 721-736 - 2011
Hao Huang, Ted Long, Jiayu Wan, William P. Brown
Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
Computational Geosciences - Tập 17 - Trang 689-703 - 2013
Yan Chen, Dean S. Oliver
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 assimilation methods. A previous version of the iterative ensemble smoother based on Gauss–Newton formulation was able to match data relatively well but only after a large number of iterations. A multiple data assimilation met...... hiện toàn bộ
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