Data Engineer

ADNOC and SLB launch AI system to optimize oil production across all fields. ADNOC has partnered with SLB and Cognite to deploy an AI-powered production optimization platform across its upstream operations, aiming to boost productivity and streamline decision-making as part of its push to become the world's most AI-enabled energy company. The announcement, made at ADIPEC 2025 in Abu Dhabi, marks the start of a phased deployment across all 25 of ADNOC's onshore and offshore oil and gas fields by 2027. The AiPSO platform, powered by SLB's Lumi data and AI platform and Cognite Data Fusion, integrates millions of real-time data points from wells and processing facilities. It uses advanced analytics and proprietary machine learning models developed by ADNOC to predict issues, optimize performance, and enhance production capacity. Currently active at eight ADNOC fields, AiPSO connects office and field operations in real time, enabling engineers to diagnose issues and optimize wells within minutes - tasks that previously took days. The result, according to ADNOC, is a dramatic improvement in workforce productivity and operational efficiency. "AiPSO will transform the productivity of our upstream operations as we work to become the most AI-enabled energy company," said Musabbeh Al Kaabi, ADNOC's Upstream CEO. "This industry-leading solution will support our strategy to increase production capacity while significantly enhancing the productivity of our people by freeing them to pursue value-adding opportunities and completing complex tasks up to ten times faster." For SLB, the project underscores its strategy to integrate artificial intelligence with its deep domain expertise to drive performance and recovery gains for global energy companies. "The AiPSO platform is an example of SLB's ambition to combine artificial intelligence and domain expertise to drive improvements in production and recovery," said SLB CEO Olivier Le Peuch. The partnership expands on ADNOC's growing portfolio of digital initiatives, including ENERGYai, an agentic AI solution developed with AIQ, which targets efficiency and sustainability across ADNOC's value chain. Together, AiPSO and ENERGYai represent a broader effort to position ADNOC as a leader in industrial AI, aligning with the UAE's national strategy to harness AI for economic growth and energy innovation. The initiative comes amid a broader global push by oil and gas producers to digitize upstream operations. AI-driven optimization is increasingly being adopted to manage complex field networks, reduce downtime, and extend asset life - key priorities as producers seek to balance energy demand with efficiency and emissions goals. With this launch, ADNOC is among the first national oil companies to apply AI-driven production optimization across its entire upstream portfolio, setting a new benchmark for large-scale digital transformation in the energy sector.

Cognite to unleash next-gen industrial AI with NVIDIA. * Collaboration will initially enhance the speed, scale and accuracy of anomaly detection and prevent operational disruptions Cognite, a global leader in industrial AI, has announced that the Cognite Industrial AI and Data Platform, which includes Cognite Atlas AI(TM) and Cognite Data Fusion(R), is now integrated with NVIDIA accelerated computing and software to unlock new levels of efficiency, intelligence and innovation for asset-heavy industries. The first, high-impact use case to be delivered for this initiative focuses on real-time anomaly detection in time series data. This joint effort with Celanese, a global specialty materials and chemical company, aims to enhance the speed, scale and accuracy of identifying critical anomalies in vast streams of industrial time series data, enabling proactive intervention to help prevent operational disruptions. Industrial operations generate an immense, continuous flow of sensor readings and equipment performance metrics. These readings are often noisy, complex and lack context (essential background information and relationships), making it challenging to separate the predictable signal from random noise. Cognite provides this context with Cognite Atlas AI, the only low-code industrial AI workbench that delivers agents that can leverage real-time, AI-ready operational technology (OT), information technology (IT), and engineering data from Cognite Data Fusion via a unified AI and data platform. This makes it faster and easier for industrial organizations to build and extend agents into their existing maintenance workflows, while ensuring that these agents deliver accurate, traceable and trustworthy results. These capabilities are further strengthened with NV-Tesseract - a foundation model family developed by NVIDIA for time-series analysis, purpose-built to rapidly process and extract insights from complex industrial data streams. As a modular, transformer-based foundation model, NV-Tesseract delivers high accuracy in anomaly detection, forecasting, and classification, even in noisy or fast-shifting environments. By capturing long-range temporal patterns and adapting to changing scenarios, it enables scalable, trustworthy analytics across demanding industrial applications. Across all use cases, Cognite and NVIDIA will deliver: * Proactive problem solving with real-time insights at scale: With Cognite Atlas AI agents built on NVIDIA accelerated computing, customers will be able to forecast future operational states and predict potential failures in near real-time across thousands of sensors, even in high-velocity data streams. This allows industrial companies to move from reactive maintenance to proactive intervention, preventing failures before they occur. * Rapid AI model development and unprecedented accuracy: Building highly accurate predictive models is an iterative process of training, testing and refining. NVIDIA's accelerated computing and software will allow for more training simulations and iterations in a shorter timeframe, enabling faster model retraining and significantly increased accuracy of Cognite Atlas AI agents while reducing false positives. * More value from driving down costs and increasing efficiency: Achieving superior anomaly detection results with less overall computing power translates directly into substantial operational cost reductions for customers. This acceleration also frees up valuable engineering and data science resources, allowing them to focus on higher-value tasks, like root cause analysis and strategic optimization, rather than spending time on manual data analysis or lengthy model training cycles. "For years, our partnership with Cognite has been the cornerstone of our digital transformation, allowing us to successfully scale valuable use cases across more than 50 global sites and build streamlined agentic AI workflows that enhance productivity and efficiency across our organization," said Sameer Purao, SVP and CIO at Celanese. "By bringing NVIDIA's compute power to our AI solutions, we are now taking our capabilities, such as anomaly detection, to the next level. As a visionary industrial leader, we require equally visionary partners, and we've found that in Cognite and now, with NVIDIA." "The true potential of Industrial AI hinges on both deep operational context and revolutionary compute power. Cognite's open ecosystem is designed for visionary partners like NVIDIA to meet this demand," said Girish Rishi, Chief Executive Officer at Cognite. "Together, we're fundamentally transforming how industrial AI models are built, iterated, and deployed. Our immediate focus on real-time anomaly detection showcases how NVIDIA and Cognite are perfectly poised to deliver intelligent, cost-effective, and performant solutions for this new era of AI."

Over the past 18 months, SBM Offshore has worked with Cognite to establish a robust, AI-ready data foundation using Cognite Data Fusion(R).