Research and application of intelligent diagnosis technology of oil well working conditions based on deep learning
王相， 杨耀忠， 何岩峰， 王振… - Petroleum Geology and …, 2022 - yqdzycsl.cnjournals.com
及时准确地掌握油井的工况, 对于油田安全高效生产和提高采收率具有重要意义.
随着油田信息化建设的不断深入, 示功图等油井生产动态监测数据实现了实时采集 …
随着油田信息化建设的不断深入, 示功图等油井生产动态监测数据实现了实时采集 …
A working condition diagnosis model of sucker rod pumping wells based on big data deep learning
X Wang, Y He, F Li, X Dou, Z Wang, H Xu… - International petroleum …, 2019 - onepetro.org
Monitoring the working conditions of the sucker rod pumping wells in a timely and accurate
manner is important for oil production. With the development of smart oil fields, more and …
manner is important for oil production. With the development of smart oil fields, more and …
A working condition diagnosis model of sucker rod pumping wells based on deep learning
X Wang, Y He, F Li, Z Wang, X Dou, H Xu… - SPE Production & …, 2021 - onepetro.org
Monitoring the working conditions of sucker rod pumping wells in a timely and accurate
manner is important for oil production. With the development of smart oil fields, more and …
manner is important for oil production. With the development of smart oil fields, more and …
Application progress of big data & AI technologies in exploration and development of Shengli Oilfield
杨勇 - Petroleum Geology and Recovery Efficiency, 2022 - yqdzycsl.cnjournals.com
针对勘探开发业务流程及热点问题, 阐述了大数据及人工智能技术的研究及应用进展.
经过持续攻关研究, 在胜利油田油气勘探方面形成了断层检测, 层位提取, 岩性识别 …
经过持续攻关研究, 在胜利油田油气勘探方面形成了断层检测, 层位提取, 岩性识别 …
Identification of Wellbore Flow Abnormal Working Conditions Based on Deep Learning
Y Chen, M Li, Y Li - 2022 IEEE 22nd International Conference …, 2022 - ieeexplore.ieee.org
Artificial intelligence is widely used in the oil industry. During the process of oil production,
the parameters of oil wells will change under different working conditions, which may lead to …
the parameters of oil wells will change under different working conditions, which may lead to …
Research on electrical parameter fault diagnosis method of oil well based on tsc-dcgan deep learning
T Bai, X Li, S Ding - 2022 3rd International Conference on Big …, 2022 - ieeexplore.ieee.org
Due to the wide distribution and large number of oil Wells, it is extremely difficult to obtain oil
well data, and the lack of electrical parameter data samples greatly restricts the development …
well data, and the lack of electrical parameter data samples greatly restricts the development …
Application research on intelligent logging interpretation based on E&P Dream Cloud
Z Lisha, SHI Yongbin, JIN Wei, L Hua… - China Petroleum …, 2020 - cped.cn
Geophysical logging is still the most important technical means used to identify the physical
properties of subsurface strata and to decide whether they are hydrocarbon-bearing. Using …
properties of subsurface strata and to decide whether they are hydrocarbon-bearing. Using …
Well production real-time intelligent monitoring based on convolutional neural network
Z Wang, X Wang, WG Duan, FJ Li, F Chen - Proceedings of the …, 2019 - Springer
Based on the theory of deep learning, this paper proposes the use of convolutional neural
network (CNN) method to identify the working condition of pumping unit of an oil well by …
network (CNN) method to identify the working condition of pumping unit of an oil well by …