Machineries of Knowing
How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing?
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.
Paperback$35.00 X ISBN: 9780262544672 216 pp. | 6 in x 9 in 16 color illus., 6 b&w illus.
“This tour de force is a master class in how historically and ethnographically informed analysis can deepen our understanding of the extractive operations and the onto-epistemic limits of datafication.”
Professor Emerita, Lancaster University UK; author of Human-Machine Reconfigurations
“Empirically fresh and theoretically astute, Digital Oil offers the perfect antidote to big data hype and handwringing: a subsurface tour of how the virtual is made real (and vice versa).”
Professor of Information Science and Science and Technology Studies, Cornell University