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Beyond buzzwords
Industry pioneer Cognite warns that digitalisation’s track record of over-promising and under-delivering threatens to overshadow its huge potential to transform oil and gas
Data-based decisions require AI at enterprise scale
Operational data is generated on a vast scale across the value chain every day but has yet to be fully exploited by predictive, analytical digital technologies
Outlook 2022: Digitalisation holds the key
Decarbonising existing and future energy production can be achieved only through technological innovation
Digitalisation the new normal
Covid-19 has accelerated the shift towards greater digital maturity for oil and gas operators
Accelerating clean hydrogen
Digital transformation will enable a greener shade of grey hydrogen from oil and gas facilities
Repsol trusts in AI
The company’s upstream digital strategy is increasingly turning to machine-learning and AI capabilities
Driving digital innovation at a global scale
Adoption of proactive technologies will be crucial for the oil and gas sector to meet its decarbonisation goals while staying financially competitive
Confronting the AI skills shortage
The pace of digital adoption is only going to accelerate in the oil and gas sector, but much more needs to be done to entice talent
Pivoting to green through AI adoption
Greater digital maturity will be an important factor in the race to cut emissions and shift to lower-carbon energy
Scaling your digital twin strategy
Firms should look to an enterprise-wide use of the technology to reap the operational benefits and support a sustainable future
Digitalisation
Alastair O’Dell
Senior Editor
20 October 2019
Follow @PetroleumEcon
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Digitalisation can ‘amplify’ oil & gas operator bias

Technology can bring huge benefits, but the human aspect of implementation could be the most problematic factor

The digitalisation of oil and gas exploration and production processes often bring huge efficiency gains. But the industry needs to be aware that unconscious bias in implementation can result in major consequences. Unwitting errors in the creation of algorithms—as they result in repeated errors across systems—are more severe than those made by practitioners of analogue processes.  “Some technology can actually see [operations] in real time, so you can quantify what you have and assess what you want to do with it,” says Morag Watson, chief digital innovation officer at BP. “For example, we use a combination of drones, sensors and hyperspectral imagery, so it is very complex. Great algorithms

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