همایش بین المللی هوش مصنوعی

صفحه اصلی / دومین همایش بین المللی هوش مصنوعی

Applications of Artificial Intelligence in Upstream Oil and Gas Industries

نویسندگان :

Parisa Salimi¹ Zahra Nargessi² Fatemeh Alamolhoda³

1- Oil Design and Construction Company 2- Oil Design and Construction Company 3- Oil Design and Construction Company

کلمات کلیدی :

Artificial Intelligence،Big Data،Upstream،Digitalization،Oil and Gas Industries

چکیده :

Artificial intelligence has emerged in recent years as a transformative foundational technology in the oil and gas industry, with its greatest impact observed in the upstream sector where data complexity, high operational costs, and technical uncertainties necessitate rapid and precise decision-making. Advances in machine learning algorithms, deep neural networks, and large-scale data analytics have enabled significant improvements across exploration, drilling, and production operations. In exploration, AI-based models enhance seismic data processing, geological feature detection, uncertainty analysis, and subsurface structure prediction, thereby increasing the accuracy of identifying new reservoirs and reducing investment risks. In drilling operations, predictive algorithms support real-time monitoring of well parameters, decreasing the likelihood of events such as stuck pipe, fluid loss, and formation instability, while optimizing well trajectory design. Furthermore, in reservoir engineering and production management, data-driven models can more accurately predict reservoir behavior, production rates, pressure dynamics, fracture networks, and saturation changes, offering an effective alternative to classical simulation approaches. The application of reinforcement learning and intelligent production control systems further contributes to improved recovery factors, reduced operating costs, and optimized well performance. Given the rapid evolution of digital technologies and the shifting landscape of the global energy market, the adoption of artificial intelligence is no longer a technological option but a strategic necessity for enhancing efficiency, operational agility, and mitigating technical and economic risks in the upstream domain. Investment in data-centric infrastructure, integration of information systems, and development of skilled human resources is essential for harnessing the full potential of AI and advancing toward intelligent, resilient, and sustainable production in the oil and gas industry.