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: Production Forecasting in High Gas-Oil-Ratio Wells
  name:
    name part: Jha, Himanshu Shekhar
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Lee, John
    role:
      role term: thesis advisor.
  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: Production data analysis and forecasting uses empirical decline curves and model-based rate transient analysis to understand the well performance. Some of the most popular decline curve analysis models used in production forecasting are stretched exponential decline, modified Duong decline, power law decline, and multi-segment Arps decline model. Production forecasting using multi-segment Arps remains a popular choice among the resource evaluators due to its simple application and long-term use since 1945. It divides the production data into three segments allowing the three segments to capture distinct flow regimes, including transient, transition flow, and boundary dominated flow, and generates a forecast of future production rates based on the Arps hyperbolic decline curve model. Although rigorous simulation studies probably provide the most accurate approach for forecasting future production, they could be time consuming, expensive, and may require extensive input data. Due to large number of wells under operation in the Permian basin, a single reservoir engineer may be tasked with analyzing hundreds of wells, and a rigorous reservoir simulation-based analysis for every well is not possible. In such cases, empirical models and type wells can be used to forecast future production. Although a significant number of analytical, semi-analytical, and empirical forecasting methods have been proposed for history matching and forecasting production from multi fractured horizontal wells (MFHWs) in low permeability reservoirs, the simplifying assumptions in their formulation assumes single-phase-flow. Also, only a limited number of empirical models have been published to forecast secondary phase production in unconventional reservoirs. Most of the published research presents complex numerical models focused on specific production periods for forecasting secondary phase production, which could be very difficult to implement for assessing field examples. This work aims to in…
  note: by Himanshu Jha.
  note: "Major Subject: Petroleum Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A&M University 2022 https://hdl.handle.net/1969.1/198129
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Petroleum Engineering
  subject:
    topic: Production Forecasting
  subject:
    topic: Type Well Construction
  identifier: https://hdl.handle.net/1969.1/198129
  record info:
    record content source: TXA
    record creation date: 240828
    record change date: 20240829173519.0
    record identifier: in00005468667
    language of cataloging:
      language term: eng