1,417 research outputs found
Compact -Point Finite Difference Methods with High Accuracy Order and/or -Matrix Property for Elliptic Cross-Interface Problems
In this paper we develop finite difference schemes for elliptic problems with
piecewise continuous coefficients that have (possibly huge) jumps across fixed
internal interfaces. In contrast with such problems involving one smooth
non-intersecting interface, that have been extensively studied, there are very
few papers addressing elliptic interface problems with intersecting interfaces
of coefficient jumps. It is well known that if the values of the permeability
in the four subregions around a point of intersection of two such internal
interfaces are all different, the solution has a point singularity that
significantly affects the accuracy of the approximation in the vicinity of the
intersection point. In the present paper we propose a fourth-order -point
finite difference scheme on uniform Cartesian meshes for an elliptic problem
whose coefficient is piecewise constant in four rectangular subdomains of the
overall two-dimensional rectangular domain. Moreover, for the special case when
the intersecting point of the two lines of coefficient jumps is a grid point,
such a compact scheme, involving relatively simple formulas for computation of
the stencil coefficients, can even reach sixth order of accuracy. Furthermore,
we show that the resulting linear system for the special case has an
-matrix, and prove the theoretical sixth order convergence rate using the
discrete maximum principle. Our numerical experiments demonstrate the fourth
(for the general case) and sixth (for the special case) accuracy orders of the
proposed schemes. In the general case, we derive a compact third-order finite
difference scheme, also yielding a linear system with an -matrix. In
addition, using the discrete maximum principle, we prove the third order
convergence rate of the scheme for the general elliptic cross-interface
problem.Comment: 25 pages, 13 figure
Parallel numerical modeling of hybrid-dimensional compositional non-isothermal Darcy flows in fractured porous media
This paper introduces a new discrete fracture model accounting for
non-isothermal compositional multiphase Darcy flows and complex networks of
fractures with intersecting, immersed and non immersed fractures. The so called
hybrid-dimensional model using a 2D model in the fractures coupled with a 3D
model in the matrix is first derived rigorously starting from the
equi-dimensional matrix fracture model. Then, it is dis-cretized using a fully
implicit time integration combined with the Vertex Approximate Gradient (VAG)
finite volume scheme which is adapted to polyhedral meshes and anisotropic
heterogeneous media. The fully coupled systems are assembled and solved in
parallel using the Single Program Multiple Data (SPMD) paradigm with one layer
of ghost cells. This strategy allows for a local assembly of the discrete
systems. An efficient preconditioner is implemented to solve the linear systems
at each time step and each Newton type iteration of the simulation. The
numerical efficiency of our approach is assessed on different meshes, fracture
networks, and physical settings in terms of parallel scalability, nonlinear
convergence and linear convergence
Modelling and quantification of structural uncertainties in petroleum reservoirs assisted by a hybrid cartesian cut cell/enriched multipoint flux approximation approach
Efficient and profitable oil production is subject to make reliable predictions about
reservoir performance. However, restricted knowledge about reservoir distributed
properties and reservoir structure calls for History Matching in which the reservoir
model is calibrated to emulate the field observed history. Such an inverse problem
yields multiple history-matched models which might result in different predictions of
reservoir performance. Uncertainty Quantification restricts the raised model
uncertainties and boosts the model reliability for the forecasts of future reservoir
behaviour. Conventional approaches of Uncertainty Quantification ignore large scale
uncertainties related to reservoir structure, while structural uncertainties can influence
the reservoir forecasts more intensely compared with petrophysical uncertainty.
What makes the quantification of structural uncertainty impracticable is the need for
global regridding at each step of History Matching process. To resolve this obstacle, we
develop an efficient methodology based on Cartesian Cut Cell Method which decouples
the model from its representation onto the grid and allows uncertain structures to be
varied as a part of History Matching process. Reduced numerical accuracy due to cell
degeneracies in the vicinity of geological structures is adequately compensated with an
enhanced scheme of class Locally Conservative Flux Continuous Methods (Extended
Enriched Multipoint Flux Approximation Method abbreviated to extended EMPFA).
The robustness and consistency of proposed Hybrid Cartesian Cut Cell/extended
EMPFA approach are demonstrated in terms of true representation of geological
structures influence on flow behaviour. In this research, the general framework of
Uncertainty Quantification is extended and well-equipped by proposed approach to
tackle uncertainties of different structures such as reservoir horizons, bedding layers,
faults and pinchouts. Significant improvements in the quality of reservoir recovery
forecasts and reservoir volume estimation are presented for synthetic models of
uncertain structures. Also this thesis provides a comparative study of structural
uncertainty influence on reservoir forecasts among various geological structures
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