The convergence of artificial intelligence (AI) and blockchain is reshaping the oil and gas industry, offering innovative solutions to longstanding operational and safety challenges. As companies face increasing pressure to reduce environmental impact and improve transparency across complex supply chains, these technologies provide powerful tools for data-driven decision-making and secure, decentralized information management. These emerging technologies are transforming exploration and logistics ultimately driving greater efficiency and sustainability in an evolving global energy landscape. AI and Blockchain Applications in the Oil and Gas Industry explores how AI and blockchain are reshaping the oil and gas industry. This book explains how these technologies enhance supply chain transparency, reduce costs, and improve sustainability within this sector. Covering topics such as AI, blockchain, and industries, this book is an excellent resource for industry professionals, technology developers, investors, and academicians.
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Fasee Ullah graduated from Universiti Teknologi Malaysia (UTM), Malaysia, Faculty of computing in 2017. Dr. Fasee has also completed the postdoctoral fellowship from the University of Macau (2019-2021), which is the academic talented program of the Government of Macau. Currently, he is working as Associate Professor at the department of Computer & Information Sciences, Universiti Teknologi PETRONAS, Perak, Malaysia. He has published many research papers in reputed impact factor journals and conferences. Dr. Fasee is the recipient of the Chancellor Award and the Best Student Award at UTM during his PhD, for his excellent research contributions to wireless communication and health monitoring. His research areas included are Wireless Body Area Network, Wireless Sensor Networks, Cloud Security, Smart hash security designing, smart cities, Big data analytics, Machine learning, deep learning and internet of things. He is currently providing reviewing services to IEEE Transactions on computers, Transactions on Network Science and Engineering, IEEE Transactions on Cloud Computing, IEEE Access, IEEE Sensor Journal, ACM, and International Journal of Distributed Sensor Networks.
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