INNOVATION
AI-powered completion systems debut in Abu Dhabi, hinting at a digital turn in the region’s shale ambitions
11 Feb 2026

The Middle East’s shale push is taking on a new shape. This time, the breakthrough is not a bigger rig or a faster pump. It is code.
Artificial intelligence is beginning to influence how unconventional oil and gas wells are completed, with Abu Dhabi serving as an early proving ground. Deep Well Services has expanded its real time, AI driven completion platform, BoreSite, into a 12 well program operated by PETRONAS Abu Dhabi.
The move may sound technical, but the stakes are practical. Completion work, the stage where a well is prepared for production, can account for more than half of an unconventional well’s total cost. If that phase runs long or hits snags, the economics of the entire project can suffer.
AI systems promise sharper oversight. By capturing live data from the field, they aim to flag problems sooner and guide quicker adjustments. In theory, that means fewer delays and tighter cost control. In practice, the long term savings remain unproven. Independent performance data has yet to show how these tools hold up over time.
Still, the interest is growing. In the UAE, ADNOC backed Enersol has supported the expansion of unconventional service technologies as part of a broader push to strengthen digital capabilities. The goal is clear. As regional producers look to tap unconventional resources, they want to avoid the steep learning curve that marked North America’s shale rise.
Digital platforms could help standardize operations and improve repeatability across projects. They may also reduce operational risk in complex reservoirs. Yet adoption across the region remains early, and challenges persist.
AI tools must be tailored to local geology and operating realities. Companies also face questions around data governance and cybersecurity as more field activity moves onto digital platforms.
For now, the shift is measured but deliberate. Early deployments in Abu Dhabi suggest a willingness to experiment with data driven methods. Whether AI becomes a fixture in Middle East shale will depend less on buzz and more on results delivered well after the headlines fade.
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