Digital Oil
eBook - ePub

Digital Oil

Machineries of Knowing

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Digital Oil

Machineries of Knowing

About this book

Digitalization sits at the forefront of public and academic conversation today, calling into question how we work and how we know. In Digital Oil, Eric Monteiro uses the Norwegian offshore oil and gas industry as a lens to investigate the effects of digitalization on embodied labor and, in doing so, shows how our use of new digital technology transforms work and knowing.

For years, roughnecks have performed the dangerous and unwieldy work of extracting the oil that lies three miles below the seabed along the Norwegian continental shelf. Today, the Norwegian oil industry is largely digital, operated by sensors and driven by data. Digital representations of physical processes inform work practices and decision-making with remotely operated, unmanned deep-sea facilities. Drawing on two decades of in-depth interviews, observations, news clips, and studies of this industry, Monteiro dismantles the divide between the virtual and the physical in Digital Oil.

What is gained or lost when objects and processes become algorithmic phenomena with the digital inferred from the physical? How can data-driven work practices and operational decision-making approximate qualitative interpretation, professional judgement, and evaluation? How are emergent digital platforms and infrastructures, as machineries of knowing, enabling digitalization? In answering these questions Monteiro offers a novel analysis of digitalization as an effort to press the limits of quantification of the qualitative.

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Yes, you can access Digital Oil by Eric Monteiro, Janet Vertesi,Paul N. Edwards in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Knowledge Capital. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgments
  8. 1. Introduction
  9. I: Setting
  10. II: Cases
  11. III: Implications
  12. Appendix: A Note on Method
  13. References
  14. Index
  15. Series List