Abstract
As we all know, energy helps promote China’s social and economic growth and the improvement of people’s living standards. Therefore, the oil and gas industry has obtained important development opportunities. However, oil and gas resources are non-renewable energy sources, and their uses are gradually increasing. Therefore, oil and gas resources are facing a rapid depletion state, which poses a great threat to the future development of society. For this reason, in order to improve the utilization efficiency of oil and gas resources and reduce the pollution to the surrounding environment, China has paid more and more attention to the research on oil and gas recovery, and has gradually increased the intensity of the research. Based on the above background, the purpose of this article is to study the methods of oil and gas detection and recovery in oil and gas storage and transportation based on artificial intelligence technology. This article briefly introduces and summarizes the basic principles and scope of oil and gas recovery technology, and introduces the practical application of oil and gas recovery technology based on artificial intelligence technology, and analyzes the problems of oil and gas recovery technology. Put forward corresponding measures.
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Zhao, J., Li, L., Wang, Z. (2021). Oil and Gas Detection and Recovery Methods in Oil and Gas Storage and Transportation Based on Artificial Intelligence. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_107
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DOI: https://doi.org/10.1007/978-981-33-4572-0_107
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