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LNG optimisation in the spotlight
The growing prominence of LNG makes it vital to maximise production and energy efficiency at liquefaction facilities
Outlook 2022: Digitalisation holds the key
Decarbonising existing and future energy production can be achieved only through technological innovation
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
Tackling emissions with AI
O&G firms must embrace greater digitisation to mitigate the impact of global warming and meet climate goals
More thinking, less clicking: AI improves geoscientist efficiency
Upstream operators increasingly value the transformational potential of AI solutions
Digitalisation Review
AI
Antonio Pietri
Aspentech
12 October 2020
Follow @PetroleumEcon
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Revolutionising the downstream

Industrial AI will allow plants to reach their autonomous potential

Reactiveness, resilience and reliability are becoming increasingly important in the refining industry. As a result of fluctuating pricing and demand, the safety, logistics, environmental impact and economics of new scenarios must be analysed daily. Sustaining stable operations and improving competitive advantage will come down to reacting as quickly as possible to real-time analysis while factoring in resilience and reliability. The ultimate vision for the industry is the self-optimising, autonomous plant—and the increasing deployment of AI across the sector is bringing this closer to reality. However, while refining has been an early adopter of many digital tools, the industry has yet to fu

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