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: Estimating multiphase flow functions in porous media from dynamic displacement experiments
  name:
    name part: Richmond, Peyton Clay.
    role:
      role term: creator
  name:
    name part: Geller, S. C.
    role:
      role term: degree committee member.
  name:
    name part: Hanson, D. T.
    role:
      role term: degree committee member.
  name:
    name part: Watson, A. T.
    role:
      role term: degree supervisor.
  name:
    name part: White, R. E.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1988
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xx, 246 leaves : illustrations ; 29 cm
  abstract: In this work, the estimation of relative permeability and capillary pressure from the data of dynamic displacement experiments was investigated. These properties are used extensively to predict the behavior of petroleum reservoirs. A new implicit method (i.e., based on matching experimental data with simulated values) was developed, which, for the first time, addresses the functional aspects of the implicit estimation problem. Using this regression-based method, those functional bias errors resulting from the specification of a finite dimensional representation for a infinite dimensional function can be recognized and essentially eliminated. The relative permeability and capillary pressure functions are represented with B-splines. Provided a sufficient number of knots is allowed, spline functions of a fixed order can be used to approximate any smooth function to an arbitrary degree of accuracy. The adjustable coefficients in the B-spline representation are chosen by minimizing a nonlinear weighted-least-squares objective function. A set of linear constraints on the parameters was designed to ensure monotone behavior of these estimates. A descent method in which the step vector is calculated using a trust-region strategy was used for this minimization. The constraints are observed using a sequential quadratic programming logic, and orthogonalization techniques are used to compute the step calculations instead of forming the normal equations. A modular design facilitated the investigation of estimates obtained from both the analytical noncapillary model and the finite difference solution to the model equations including capillary pressure effects. A linearized covariance analysis was used to investigate the accuracy of relative permeability estimates when capillary pressure was specified, and to investigate the accuracy of simultaneously estimated relative permeability and capillary pressure functions.
  note: "Major subject: Chemical Engineering."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. Texas A & M University 1988
  note: Includes bibliographical references.
  subject:
    topic: Estimation theory
  subject:
    topic: Multiphase flow
  subject:
    topic: Oil reservoir engineering
  subject:
    topic: Porous materials
  subject:
    topic: Major chemical engineering
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-1015671
  identifier: http://gateway.proquest.com/openurl
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-1015671
  related item:
    location:
      url: http://gateway.proquest.com/openurl
  record info:
    record content source: TXA
    record creation date: 900607
    record change date: 20220103134822.0
    record identifier: in00000905158
    language of cataloging:
      language term: eng