Will AI Shape Offshore Oil Drilling in the Future?

May 25, 2023

Energy companies are using artificial intelligence (AI) tools to digitize documents, analyze massive data sets and geological maps, and perhaps even spot issues like excessive equipment use or pipeline corrosion.

“We are committed to finding new and innovative ways to reinvent our exploration ways of working,” Gabriel Guerra, Shell’s vice president of innovation and performance, said in a statement.

The UK’s first oil and gas National Data Repository (NDR) was introduced by the Oil and Gas Authority (OGA) four years ago. 130 terabytes of geophysical, infrastructure, field, and well data—the equivalent of about eight years worth of HD movies—are housed in the sizable repository. More than 5,000 seismic surveys, 12,500 wellbores, and 3,000 pipelines are included in this data. In order to interpret this data, NDR uses artificial intelligence (AI), with the goal of helping OGA find new oil and gas prospects and increase production using existing infrastructure. The platform will be utilized in the nation’s energy transition as well. Projects for carbon capture, usage, and storage will be supported by reservoir and infrastructure data.

In addition, AI technology is beginning to play a significant role in the development of smart grids and the field of renewable energy. Google declared a few years ago that all of its global operations, including its data centers and offices, were now powered entirely by renewable energy. Due to its commitments to purchase 7 gigawatts (7,000 megawatts) of wind and solar energy, Google is currently the largest corporate buyer of renewable energy. 

Read about how VINCI is using predictive maintenance to increase the availability and reliability of offshore wind farms: https://leonard.vinci.com/en/improving-offshore-windfarm-reliability-and-availability-through-predictive-maintenance/ 

Read here about Google’s objectives: https://sustainability.google/progress/energy/

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