rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Upscaling methods for multi-phase flow and transport in heterogeneous porous media
  name:
    name part: Li, Yan.
    role:
      role term: creator
  name:
    name part: Efendiev, Yalchin
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: In this dissertation we discuss some upscaling methods for flow and transport in heterogeneous reservoirs. We studied realization-based multi-phase flow and transport upscaling and ensemble-level flow upscaling. Multi-phase upscaling is more accurate than single-phase upscaling and is often required for high level of coarsening. In multi-phase upscaling, the upscaled transport parameters are time-dependent functions and are challenging to compute. Due to the hyperbolic feature of the saturation equation, the nonlocal effects evolve in both space and time. Standard local two-phase upscaling gives significantly biased results with reference to fine-scale solutions. In this work, we proposed two types of multi-phase upscaling methods, TOF (time-offlight)- based two-phase upscaling and local-global two-phase upscaling. These two methods incorporate global flow information into local two-phase upscaling calculations. A linear function of time and time-of-flight and a global coarse-scale two-phase solution (time-dependent) are used respectively in these two approaches. The local boundary condition therefore captures the global flow effects both spatially and temporally. These two methods are applied to permeability distributions with various correlation lengths. Numerical results show that they consistently improve existing two-phase upscaling methods and provide accurate coarse-scale solutions for both flow and transport. We also studied ensemble level flow upscaling. Ensemble level upscaling is up scaling for multiple geological realizations and often required for uncertainty quantification. Solving the flow problem for all the realizations is time-consuming. In recent years, some stochastic procedures are combined with upscaling methods to efficiently compute the upscaled coefficients for a large set of realization. We proposed a fast perturbation approach in the ensemble level upscaling. By Karhunen-Lo`eve expansion (KLE), we proposed a correction scheme to fast compu…
  note: by Yan Li.
  note: "Major Subject: Mathematics"
  note: Title from author supplied metadata (automated record created 2011-02-28 11:02:00).
  note: Electronic resource.
  note: Doctor of Philosophy Texas A&M University 2009 http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7256
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major mathematics
  subject:
    topic: Heterogeneity
  subject:
    topic: multiscale
  subject:
    topic: upscaling
  subject:
    topic: two-phase flow
  subject:
    topic: transport
  subject:
    topic: pseudo-relative permeability
  subject:
    topic: ensemble-level upscaling
  subject:
    topic: perturbation
  subject:
    topic: collocation
  subject:
    topic: clustering
  identifier: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7256
  record info:
    record content source: TXA
    record creation date: 110310
    record change date: 20151202115721.0
    record identifier: in00002642096