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With the growth of global energy demand and the increasing depletion of oilfield resources, oilfield intelligence has become a key means to improve production efficiency, reduce costs, enhance safety and protect the environment. This paper explores the application of next-generation information technologies in the oilfield intelligence ecosystem, including Internet of Things (IoT), big data analytics, artificial intelligence (AI) and machine learning (ML), cloud computing, edge computing, and blockchain technologies. These technologies play an important role in smart drilling, smart production, smart maintenance and smart management. For example, IoT sensors are used to monitor drilling equipment in real time, AI/ML optimises drilling parameters, big data analytics improves production efficiency, cloud computing supports real-time data processing, edge computing enables equipment failure prediction, and blockchain technology improves supply chain management. Studies have shown that new-generation information technology significantly improves oilfield productivity, reduces operating costs, enhances safety, and promotes environmental protection. However, these technology applications also face challenges such as data security, system integration, talent training and high initial investment. This paper proposes countermeasures to strengthen technology research and development, formulate policies and standards, and promote cross-industry cooperation.
Zhang et al. (Fri,) studied this question.