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: Machine learning and data science in the oil and gas industry
    sub title: best practices, tools, and case studies
  name:
    name part: Bangert, Patrick.
  type of resource: text
  origin info:
    place:
      place term: mau
    place:
      place term: Cambridge, MA
    publisher: Gulf Professional
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful Gain practical understanding of machine learning used in oil and gas operations through contributed case studies Learn change management skills that will help gain confidence in pursuing the technology Understand the workflow of a full-scale project and where machine learning benefits (and where it does not).
  note: edited by Patrick Bangert.
  subject:
    topic: Petroleum industry and trade
    topic: Data processing
  subject:
    topic: Machine learning
  subject:
    topic: Pétrole
    topic: Industrie et commerce
    topic: Informatique
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Machine learning
  subject:
    topic: Petroleum industry and trade
    topic: Data processing
  classification: HD9560.5
  classification: 665.50285/631
  related item:
    identifier: (OCoLC)1158482535
  identifier: 9780128209141
  identifier: 0128209143
  identifier: 9780128207147
  identifier: 0128207140
  identifier: 9780128209141 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 210307
    record change date: 20260128181855.3
    record identifier: in00004669700
    language of cataloging:
      language term: eng