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The growing prominence of LNG makes it vital to maximise production and energy efficiency at liquefaction facilities
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Decarbonising existing and future energy production can be achieved only through technological innovation
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The company’s upstream digital strategy is increasingly turning to machine-learning and AI capabilities
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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
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More thinking, less clicking: AI improves geoscientist efficiency
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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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