Reducing Operational Emissions with AI

The energy industry has a crucial role in the sustainable future of our world. As part of the energy sector’s ongoing commitment towards net-zero emissions, companies must bring sustainability into the core of their operations.

Key fact: Directly and indirectly, the oil and gas industry accounts for about 42% of global emissions

The first step to reducing the industry’s impact on the environment is cutting operational emissions. By simply making minor changes to processes and operations, companies have the potential to slash their energy consumption.

Key to achieving this is AI-powered technology, like digital twins, which can optimise energy management by continuously monitoring energy consumption and providing predictive and prescriptive analytics on how to improve efficiency.

Beyond this, AI technology can accurately predict the number of wells needed for an oilfield, thus minimising excessive drilling. It also offers predictive maintenance solutions for equipment and assets, measures total emissions across all operations, and analyses large volumes of data, giving operators enhanced visibility.

Key fact: Using AI for environmental applications could boost global GDP by 3.1–4.4% while reducing global greenhouse gas emissions by around 1.5–4.0% by 2030


  • Reduces emissions

  • Improves asset integrity

  • Enhances visibility

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