Energy Firms Embrace AI for Exploration Efficiency

In an era where investment challenges loom over the energy sector, companies are increasingly turning to artificial intelligence (AI) as a strategic ally. By harnessing AI, energy firms aim to accelerate exploration efforts, boost operational efficiency and streamline maintenance processes, ultimately driving down costs. This technological shift is not merely a trend but a necessity as companies navigate a complex market landscape.

During the OPEC International Seminar held in Vienna from July 9-10, executives from the world’s leading oil producers gathered to share their enthusiasm for AI advancements. They highlighted how these technologies are already making significant impacts, reducing exploration timelines and saving billions in operational expenditures.

AI is proving to be a game-changer at every stage of the production lifecycle in the oil sector. From initial exploration through drilling and refining, AI applications are enhancing speed and precision.

One notable example comes from Aramco, the largest oil producer globally. CEO Amin Nasser revealed that the company saved a staggering US$4bn in 2024 by integrating around 500 AI use cases into its operations. “In seismic operations, we’ve reduced the time required from months to weeks, and in some cases, to days,” Nasser stated. He emphasised that these new technical capabilities have improved the predictability of equipment failures and minimised downtime, showcasing the tangible benefits of AI integration.

bp is also making strides in AI utilisation. The company has developed AI systems capable of detecting kicks on production wells with an impressive 98% accuracy. This advancement allows bp to expedite the planting of new wells by 90% in high-potential areas like Azerbaijan, as shared by CEO Murray Auchincloss. The ability to quickly identify and act on production opportunities is a crucial advantage in a competitive market.

Kuwait's state-owned KPC is eager to capitalise on similar technological advancements. The company is collaborating with tech giants Google and Microsoft on AI initiatives, with a focus on smart drilling techniques that have supported its offshore exploration efforts. KPC CEO Shaikh Nawaf al-Sabah noted that their use of AI analysis has led to major discoveries through improved well placement. The first well drilled using AI technology in the Al-Nokhtana field is anticipated to unlock oil reserves equivalent to three years of production for the entire state of Kuwait.

Moreover, KPC has made significant progress in reducing emissions associated with gas flaring, achieving a remarkable reduction from approximately 16% to less than 0.5% over the past two decades, thanks to AI support. This commitment to sustainability aligns with the broader industry trend of integrating technology to address environmental concerns.

According to the OPEC World Oil Outlook published on July 10, AI has instilled confidence in producers to explore increasingly challenging reservoirs. By combining AI algorithms with real-time data sensors, companies can optimize drilling fluid compositions and adjust bit rotation speeds, employing sophisticated strategies that often operate automatically.

The implications of AI extend beyond efficiency gains; they also highlight the significant energy demand associated with its adoption. In his opening address at the OPEC Seminar, Saudi Arabia’s energy minister, Prince Abdulaziz bin Salman, pointed to the surging demand for data centres as a key reason behind the group's belief that "peak oil" is not imminent. “AI is just beginning; demand will continue to rise, and multiple energy sources will be necessary,” the prince asserted.

Furthermore, Aramco's Nasser indicated that currently, 3% of power demand is attributed to AI, data centres, and cryptocurrency, with projections suggesting this could rise to 4-6% by 2030. bp’s Auchincloss echoed this sentiment, estimating that natural gas will account for 70% of energy supply for data centres in the U.S.

As global energy demand continues to be largely satisfied by oil and gas, the rise in AI-driven demand could quickly strain renewable capacity and increase reliance on fossil fuels, as argued by OPEC. In its July 10 report, the organisation reaffirmed its stance that global oil demand will persist in its growth trajectory for decades and raised its forecasts for 2050.

However, this outlook contrasts sharply with the International Energy Agency's prediction of peak demand by the end of the decade. As a result, energy companies are likely to welcome AI innovations that expedite the extraction of oil reserves. Yet, industry insiders caution that while AI advancements are promising, they have limitations.

"When conducting technical work, seismic analysis constitutes only 5% of the process, while 95% involves securing necessary approvals," remarked an anonymous source from a European oil producer. “I frequently utilise ChatGPT for presentations and emails, but the capability to identify high-potential crude prospects has always existed.”

In conclusion, the integration of AI into the energy sector signals a transformative shift, enabling companies to enhance efficiency, reduce costs and address the challenges posed by evolving market demands. As energy firms continue to explore the potential of AI, the path forward will undoubtedly shape the future of energy production and consumption.

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