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: Automated optimization strategies for horizontal wellbore and hydraulic fracture stages placement in unconventional gas reseroirs
  name:
    name part: Plaksina, Tatyana
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Gildin, Eduardo
    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: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: In the last decades rapid advances in horizontal drilling and hydraulic fracturing technologies ensure production of commercial quantities of natural gas from many unconventional reservoirs. Reservoir management and development strategies for shale and tight gas plays have evolved from ad hoc approaches to more rigorous strategies that involve numerical optimization in presence of multiple economic and production objectives and constraints. Application of an automated integrated optimization framework for placement of horizontal wellbores and transverse hydraulic fracture stages along them has potential of increasing shale gas reserves and projects' revenue even further. This dissertation introduces a novel integrated evolutionary-based optimization framework for placement of horizontal wellbores and hydraulic fracture stages that allows enhancing production from shale gas formations and provides a solid foundation for future field-scale application once better understanding of shale petrophysics and geomechanics is developed. The proposed optimization workflow is developed and tested in stages. First, we summarize what has been done in the subject field previously by scholars and identify what is missing. Second, we present assumptions for the shale gas simulation model that make our framework and the simulation model applicable. Third, we pre-screen several economic and petrophysical parameters in order to identify the most significant for the subsequent sensitivities analysis. Forth, we develop evolutionary-based optimization strategy for placement of hydraulic fracture stages along a single horizontal wellbore. We investigate how sensitive the optimization results to changes in the key parameters pre-selected during pre-screening. Fifth, we enhance the framework to handle multiple horizontal producers, discuss the conditions when such approach is applicable, and extensively test this integrated workflow on a suite of simulation runs. Finally, we implement and ap…
  note: by Tatyana Plaksina.
  note: "Major Subject: Petroleum Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A & M University 2015 http://hdl.handle.net/1969.1/155086
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Petroleum Engineering
  subject:
    topic: Shale gas
  subject:
    topic: Stochastic optimization
  subject:
    topic: Multi-objective optimization
  subject:
    topic: Hydraulic fracture placement
  subject:
    topic: Wellbore placement
  subject:
    topic: Genetic algorithm
  identifier: http://hdl.handle.net/1969.1/155086
  record info:
    record content source: TXA
    record creation date: 160308
    record change date: 20170928112445.0
    record identifier: in00003610579
    language of cataloging:
      language term: eng