Imagine an offshore oil rig that can predict when a critical pump might fail, a gas pipeline that instantly detects even the tiniest leak, or a refinery that adjusts operations in real time to reduce emissions. These aren’t futuristic ideas — they are happening today, thanks to artificial intelligence (AI) and digital technologies. In the UAE, where efficiency, safety, and sustainability are strategic priorities, AI is helping oil and gas companies work smarter, reduce risk, and support the transition to cleaner energy.
The Digital Twin Revolution
Dr Imran Zualkernan, Professor at the American University of Sharjah (AUS), explains that AI is already transforming every stage of oil and gas operations. In exploration, AI-driven seismic processing improves the accuracy of identifying oil and gas reserves, reducing the risk and cost of drilling in the wrong place. During drilling, autonomous and assisted systems enhance precision and speed, while advanced geo-steering technologies help operators navigate complex underground formations more efficiently.
In production, AI plays a critical role in keeping operations running smoothly. Predictive maintenance systems analyse data from pumps, compressors, and turbines to forecast failures before they happen, preventing costly downtime. Real-time leak detection and intelligent asset monitoring help maintain safety and environmental compliance, reducing the chances of incidents that could disrupt operations or harm the environment. Even refining and processing facilities are benefiting, with AI optimising processes, ensuring consistent product quality, and helping plants comply with increasingly strict regulations.
Looking ahead, Dr Zualkernan sees a growing role for generative AI and large language models in supporting decision-making, knowledge management, and workforce augmentation. These tools can analyse vast datasets, summarise complex information, and help engineers make faster, more informed decisions — especially in a sector as data-intensive and technically complex as oil and gas.
The energy sector is currently navigating a ‘Great Crew Change,’ as decades of veteran expertise begin to retire. Dr Zualkernan sees Generative AI and Large Language Models as the ultimate bridge for this institutional memory. By training AI on forty years of Sharjah’s drilling logs and maintenance reports, AUS is helping companies build a ‘living library.’ This allows a junior engineer to ask an AI assistant how a specific valve behaved during a rare geological event in 1994, instantly reclaiming expert wisdom that might otherwise have been lost to history
Among emerging digital technologies, predictive maintenance and digital twins offer some of the most immediate benefits. Digital twins are virtual replicas of equipment, wells, pipelines, or entire plants that can simulate different operational scenarios. By integrating sensor data and real-time monitoring, these tools allow operators to optimise performance, plan maintenance more effectively, and make decisions with higher confidence. In the UAE, digital twins are particularly useful for wells, pipelines, and gas processing plants, helping operators extend asset life, reduce energy consumption, and improve environmental performance.
Blockchain technology also has a growing role in energy operations. By improving supply chain transparency, verifying data provenance, supporting carbon accounting, and enabling smart contracts for energy trading, blockchain adds an extra layer of trust and efficiency to an increasingly digital industry.
The New Frontline: Beyond Physical Safety
However, digital transformation also brings new risks. Many oil and gas control systems — such as SCADA networks and programmable logic controllers (PLCs) — were not originally designed for highly connected or hostile network environments. This makes them vulnerable to cyberattacks, including ransomware and AI-enabled threats. The convergence of IT and operational technology (OT) systems means that attackers can potentially move across networks via compromised workstations or third-party vendor access. “Protecting digital infrastructure is now as critical as physical safety,” Dr Zualkernan notes.
Forging the Hybrid Engineer
Preparing the next generation of engineers for this digital era is equally important. AUS students already receive strong training in AI, IoT, and cybersecurity, but the oil and gas sector requires specialised skills. Graduates need hands-on experience with SCADA systems, PLCs, IT-OT integration, and digital twin design, alongside a deep understanding of oil and gas operations, safety standards, and regulatory requirements. “Combining computing expertise with domain knowledge ensures that graduates can contribute effectively from day one,” says Dr Zualkernan.
The university also offers opportunities for collaboration with energy companies in the UAE and across the GCC. Applied research projects in predictive maintenance, production optimisation, industrial analytics, and AI-driven engineering workflows allow students and faculty to tackle real-world problems. These partnerships not only help companies innovate but also build a pipeline of skilled talent ready to support digital transformation initiatives.
The vision of a digitised energy landscape at AUS is more than academic; it is backed by a landmark AED 10 million partnership with the Sharjah National Oil Corporation (SNOC). Launched in 2025, the SNOC Energy, Environment & Innovation Fund specifically targets the ‘pain points’ of regional operators — from developing high-precision AI for oil-water separation to deploying gravitational energy storage. This collaboration ensures that the solutions engineered in Dr Zualkernan’s labs have a direct, funded path to the Sharjah grid, transforming the university into a strategic R&D arm for the nation’s energy security
The Human-in-the-Loop
Automation has enormous potential, but it still faces limits. Oil and gas operations often deal with unpredictable geological conditions, complex legacy systems, and incomplete or noisy data. This means human expertise remains essential, and “human-in-the-loop” systems — where AI assists rather than replaces operators — are likely to dominate in the near to medium term.
Digital technologies also support sustainability. Smart sensors, AI-assisted monitoring, and reinforcement learning can optimise processes to reduce energy use and emissions, supporting the UAE’s net-zero goals. By providing accurate, real-time data on emissions and operational efficiency, AI helps companies make better environmental decisions, contributing to cleaner energy production and more responsible operations.
While AI is a powerful tool for reaching Net-Zero, Dr Zualkernan is acutely aware of the ‘sustainability paradox’: the massive computing power required for AI can itself be energy-intensive. To solve this, research at AUS is pivoting toward ‘Edge AI’ — deploying lightweight, high-efficiency models directly onto hardware at the wellhead or pipeline. By processing data locally rather than sending it to power-hungry remote data centres, these systems minimise the digital carbon footprint, ensuring that the AI used to reduce emissions doesn’t create a new environmental problem of its own.
Dr Zualkernan’s vision for AUS is to strengthen the university’s role as a partner for the energy sector. By supplying highly skilled graduates, conducting applied research, and developing innovative digital solutions, the Computer Science Department at AUS aims to directly support the UAE and GCC’s evolving energy landscape.
From predicting equipment failures to monitoring emissions in real time, AI and digital technologies are making oil and gas operations safer, more efficient, and more environmentally responsible. For everyday people, this means cleaner energy, fewer disruptions, and safer workplaces. The UAE’s energy industry is proving that intelligent systems and human expertise can work hand in hand — building a smarter, more sustainable future for oil and gas.
Read more on Oil & Gas Middle East
