Paper
29 November 2023 A novel hot washing monitoring and management system of oil wells based on the Internet of Things
Xiaowei Liang, Hui Zhao, Honghong Li, Zikuo Han, Huiqiang Chai, Jie Yu
Author Affiliations +
Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129370C (2023) https://doi.org/10.1117/12.3013267
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore
Abstract
Wax deposition in oil wells is a common challenge in crude oil extraction, and using hot washing to remove wax is a primary means, both in terms of cost and efficiency. However, due to the heavy workload of hot washing, traditional manual management modes face a series of problems such as inaccurate wax deposition monitoring, unclear well-washing period, and irrational resource allocation. Considering these, a novel monitoring and management system for hot washing is developed based on the Internet of Things. Through real-time data collection and transmission, the working state of oil wells can be effectively monitored. Particularly, the early warning model for wax deposition and criteria for evaluating the hot washing effect are established by data integration and mining. Following its application in the Qingcheng oilfield, the completion rate and qualification rate of hot washing increased by 17% and 21%, and the number of early warning wells decreased by 73%. Therefore, the developed system realizes data-driven management and greatly improves development efficiency.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaowei Liang, Hui Zhao, Honghong Li, Zikuo Han, Huiqiang Chai, and Jie Yu "A novel hot washing monitoring and management system of oil wells based on the Internet of Things", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129370C (29 November 2023); https://doi.org/10.1117/12.3013267
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KEYWORDS
Internet of things

Data transmission

Information fusion

Data integration

Machine learning

Statistical analysis

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