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ADNOC Gas Reports $5.8 Million in 2024 Savings From Plant Automation

ADNOC said its drilling operations center covered more than 120 rigs in August. Separate maintenance benefits remain estimates, while new AI applications await development.

Updated 2 min read
A worker inspects equipment at a gas processing plant in Abu Dhabi. / EconoTimes.ai
A worker inspects equipment at a gas processing plant in Abu Dhabi. / EconoTimes.ai

ADNOC Gas reported about $5.8 million in 2024 savings from plant automation as Abu Dhabi National Oil Company (ADNOC) expands artificial intelligence across drilling and production operations.

ADNOC Gas attributed the savings to its Integrated Real Time Optimizer, which it had installed at its plants. Its other technology programs range from systems already in use to pilot-based estimates and applications yet to be developed.

ADNOC’s board executive committee considered AI use and the reliability of energy deliveries at a meeting Thursday, Nov. 5.

In an Aug. 4, 2026, announcement, ADNOC said its AI-enabled Real-Time Operations Center covered more than 120 rigs onshore and offshore. It reported a 30% to 40% reduction in engineering effort. Technology partner SLB cited the same range, attributing the figure to ADNOC.

Production monitoring has reached a smaller part of the company’s operations. ADNOC and SLB said on Nov. 3, 2025, that their AiPSO platform was operating at eight fields. They aim to extend it to 25 fields onshore and offshore by 2027.

At ADNOC Gas, a Neuron 5 pilot informed estimates of possible maintenance gains. The company put the system’s potential reduction in unexpected shutdowns at up to 50%. It estimated that intervals between scheduled maintenance could grow by up to 20%; neither figure is a reported result across its operations.

ADNOC also announced an agreement with OpenAI and G42 on Monday, Nov. 2. The partners plan to develop tools for field planning and decisions spanning production, processing and sales. ADNOC said people would oversee consequential decisions. Those applications have yet to be developed and deployed.

Walid Samara, Emerson’s vice president for global projects pursuit and strategic sales in the Middle East and Africa, told Gulf News that “physical redundancy protects capacity, while automation protects time.” He identified inconsistent data and the difficulty of connecting older control platforms as barriers to wider AI use. In his view, safety controls should operate separately from AI systems that optimize plant performance.

ADNOC aims to reach production capacity of 5 million barrels a day by 2027. That year is also the target for extending AiPSO across its 25 fields.

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