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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
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
More thinking, less clicking: AI improves geoscientist efficiency
Upstream operators increasingly value the transformational potential of AI solutions
Tackling the AI skills gap
Adoption of reactive, agile technologies is steadily growing in the oil and gas sector, but sourcing the personnel needed is still a challenge
Cultural shift heralds bright AI future
Business leaders are increasingly turning to technologies that drive down emissions and optimise energy efficiencies
Move fast and break (simulated) things
A digital twin approach allows operators to test scenarios at speed, making the whole lifecycle safer and more efficient
Methane emissions face digital disruption
A range of available tools and scalable technologies is helping drive the hydrocarbons industry towards a low methane future
Repsol develops digital brain
The IOC is moving towards Industry 4.0 by building its own AI-based analytics platform
Applying digital tools into operations can have a powerful effect on boosting efficiencies and portfolio carbon footprint
Digitalisation AI
Charles Waine
22 November 2021
Follow @PetroleumEcon
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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

Deploying digital tools like AI will be crucial to decarbonising operations in the oil and gas sector and meeting growing ESG demands, according to a panel of experts speaking at a PE Roundtable discussion on sustainability and digitalisation. “If you are able to reduce your carbon footprint by 40pc for one field development, it makes a massive difference,” says Oleg-Serguei Schkoda, an independent adviser on digital transformation and AI in the energy transition. “You do not need to be a Shell or ExxonMobil to start deploying AI or using your data. Data needs to be used to optimise processes and reduce the carbon footprint.” M Ananth Baliga, head of operating management systems at Indian fi

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