Academic Journal of Engineering and Technology Science, 2025, 8(1); doi: 10.25236/AJETS.2025.080104.
Jianyu Miao, Rimsha Rahat, Khubaib Ubaid Tambe
Academy of Engineering, Peoples' Friendship University of Russia, Moscow, Russia
The integration of big data analytics technologies in the oil and gas industries of China, Pakistan, and India is revolutionizing the industry, improving efficiency, enhancing safety, and supporting sustainable development in these resource-dependent economies. This paper demonstrates the unique applications of big data in each country’s exploration, production, and distribution phases, highlighting how predictive analytics, real-time monitoring, and advanced simulations can optimize resource management. In China, extensive big data infrastructure supports smart oilfield development and automated production management, while Pakistan uses data analytics to achieve exploration precision in challenging terrain. As energy demand continues to grow, India uses big data to maximize extraction efficiency and streamline regulatory compliance. By analyzing data extracted from studies in these countries, this paper explores the challenges faced, such as data infrastructure gaps and skills shortages, and the strategic approaches each country has taken to address these challenges. Ultimately, big data applications in these countries demonstrate their critical role in promoting energy exploration, production efficiency, and environmental responsibility, positioning big data as a key tool for the future of the oil and gas industry in South and East Asia.
Oil Exploration, Big Data, Intelligent Oilfield development, Enhanced Oil Recovery, Environmental Protection
Jianyu Miao, Rimsha Rahat, Khubaib Ubaid Tambe. Applications of Big Data in Oil and Gas Industry of Asia - Taking China, India and Pakistan as Examples. Academic Journal of Engineering and Technology Science (2025) Vol. 8, Issue 1: 24-31. https://doi.org/10.25236/AJETS.2025.080104.
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