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: Development of New PVT Correlations for Reservoir Fluids From Unconventional Reservoirs
  name:
    name part: Mejia Martinez, Nelson David
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Blasingame, Thomas
    role:
      role term: thesis advisor.
  name:
    name part: Texas A&M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: The estimation of Pressure-Volume-Temperature (or PVT) properties is an extremely important aspect of oil and gas exploration and production as the parameters derived from these functions are used for reserve estimations, reservoir modeling, production, and pressure analysis, and for predicting well production performance. Reservoir fluids from unconventional reservoirs tend to be significantly "lighter" (i.e., contain less heavy hydrocarbon molecules) compared to the so-called "black oil" reservoir fluids, and as such, generally require specialized correlations. The primary focus of this work is to estimate the "saturation pressure" and "oil formation volume factor" of a relatively large sampling of reservoir fluids from unconventional (shale) reservoirs where these fluids tend to be near-critical volatile oils or retrograde gas condensate fluids. In this work, we utilize data from 138 PVT lab reports donated by industry collaborators (on the condition that the reports and data remain anonymous/confidential). These data were obtained from various unconventional reservoirs in the United States and Latin America (where again, the origin of the data is to remain confidential). These data are used as a test case against the most common saturation pressure correlations available in the industry since the 1940s. It is important to recognize that this is a common practice, i.e., to test a "standard' model against a new data set. However, virtually all of the historical saturation pressure correlations were developed for "black oil" reservoir fluids. As such, we test each historical model with and without regression (MS Excel and Python algorithms are used to perform the regressions). To assess a "best fit" in a statistical sense, we also utilize so-called "non-parametric" correlation methods that provide a multivariate optimization without using a specific model. These methods provide guidance on the best correlation of a given multivariate data set, but these methods can…
  note: by Nelson Mejia Martinez.
  note: "Major Subject: Petroleum Engineering"
  note: Includes vita.
  note: Master of Science Texas A&M University 2022 https://hdl.handle.net/1969.1/198154
  note: Includes bibliographical references.
  note: Text (Thesis)
  subject:
    topic: Major Petroleum Engineering
  subject:
    topic: PVT
  subject:
    topic: Correlation
  subject:
    topic: Saturation Pressure
  subject:
    topic: Formation Volume Factor
  subject:
    topic: Unconventional Reservoir
  subject:
    topic: light fluids
  subject:
    topic: Hydrocarbons
  identifier: https://hdl.handle.net/1969.1/198154
  record info:
    record content source: TXA
    record creation date: 240828
    record change date: 20240829173519.2
    record identifier: in00005468677
    language of cataloging:
      language term: eng