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: Drilling optimization using drilling simulator software
  name:
    name part: Salas Safe, Jose Gregorio
    name part: 1963-
    role:
      role term: creator
  name:
    name part: Juvkam-Wold, Hans C.
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Drilling operations management will face hurdles to reduce costs and increase performance, and to do this with less experience and organizational drilling capacity. A technology called Drilling Simulators Software has shown an extraordinary potential to improve the drilling performance and reduce risk and cost. Different approaches have been made to develop drilling-simulator software. The Virtual Experience Simulator, geological drilling logs, and reconstructed lithology are some of the most successful. The drilling simulations can run multiple scenarios quickly and then update plans with new data to improve the results. Its storage capacity for retaining field drilling experience and knowledge add value to the program. This research shows the results of using drilling simulator software called Drilling Optimization Simulator (DROPS) in the evaluation of the Aloctono block, in the Pirital field, eastern Venezuela. This formation is characterized by very complex geology, containing faulted restructures, large dips, and hard and abrasive rocks. The drilling performance in this section has a strong impact in the profitability of the field. A number of simulations using geological drilling logs and the concept of the learning curve defined the optimum drilling parameters for the block. The result shows that DROPS has the capability to simulate the drilling performance of the area with reasonable accuracy. Thus, it is possible to predict the drilling performance using different bits and the learning-curve concept to obtain optimum drilling parameters. All of these allow a comprehensive and effective cost and drilling optimization.
  note: by Jose Gregorio Salas Safe.
  note: "Major Subject: Petroleum Engineering"
  note: Title from author supplied metadata (record created on Nov. 30, 2005.)
  note: Vita.
  note: Abstract.
  note: Electronic resource.
  note: System requirements: Adobe Acrobat Reader.
  note: M. S. Texas A&M University 2004.
  note: Includes bibliographical references.
  note: Text (Thesis).
  subject:
    topic: Major Petroleum Engineering
  subject:
    topic: Optimization
  subject:
    topic: Drilling
  subject:
    topic: Drilling Software
  subject:
    topic: Simulator
  identifier: http://hdl.handle.net/1969.1/173
  record info:
    record content source: TXA
    record creation date: 110406
    record change date: 20151202120509.0
    record identifier: in00002659115