A space-time adaptive method for flows in oil reservoirs
Name
939658336-MIT.pdf
Description
Full printable version
Size
12.41 MB
Format
Adobe PDF
Checksum (MD5)
2d2a53a0a847cfdb4dc4ae4c0e8b3a08
Author(s)
Jayasinghe, Yashod Savithru
Advisor(s)
David Darmofal.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
This work presents a space-time adaptive framework for simulating multi-phase flows through porous media, with specific applications to flows in oil reservoirs. A fully unstructured discretization of space and time is used instead of a conventional time-marching approach. For d-dimensional spatial problems, this requires the generation of (d+1)-dimensional meshes, where time is treated as an additional spatial dimension. Anisotropic mesh adaptation is performed based on a posteriori error estimation to reduce the error of a specified output of interest. This work makes use of the DWR method for error estimation and the MOESS algorithm for metric-based mesh optimization. A discontinuous Galerkin finite element discretization is used to solve on simplex meshes with arbitrary anisotropy, and thereby obtain solutions of higher order accuracy in both space and time. The adaptive framework has been applied to single-phase and two-phase flow test problems in a one-dimensional reservoir, and the results were compared to those obtained from a time-marching finite volume method that is representative of a typical industrial simulator.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 133-137).
Subjects
Aeronautics and Astronautics.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
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