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Search Results (2)

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Keywords = overflow identification and early warning

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25 pages, 11752 KB  
Article
Overflow Identification and Early Warning of Managed Pressure Drilling Based on Series Fusion Data-Driven Model
by Wei Liu, Jiasheng Fu, Song Deng, Pengpeng Huang, Yi Zou, Yadong Shi and Chuchu Cai
Processes 2024, 12(7), 1436; https://doi.org/10.3390/pr12071436 - 9 Jul 2024
Cited by 1 | Viewed by 1483
Abstract
Overflow is one of the complicated working conditions that often occur in the drilling process. If it is not discovered and controlled in time, it will cause gas invasion, kick, and blowout, which will bring inestimable accidents and hazards. Therefore, overflow identification and [...] Read more.
Overflow is one of the complicated working conditions that often occur in the drilling process. If it is not discovered and controlled in time, it will cause gas invasion, kick, and blowout, which will bring inestimable accidents and hazards. Therefore, overflow identification and early warning has become a hot spot and a difficult problem in drilling engineering. In the face of the limitations and lag of traditional overflow identification methods, the poor application effect, and the weak mechanisms of existing models and methods, a method of series fusion of feature data obtained from physical models as well as sliding window and random forest machine learning algorithm models is proposed. The overflow identification and early warning model of managed pressure drilling based on a series fusion data-driven model is established. The research results show that the series fusion data-driven model in this paper is superior to the overflow identification effect of other feature data and algorithm models, and the overflow recognition accuracy on the test samples reaches more than 99%. In addition, when the overflow is identified, the overflow warning is performed through the pop-up window and feature information output. The research content provides guidance for the identification of drilling overflow and the method of model fusion. Full article
(This article belongs to the Section Automation Control Systems)
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15 pages, 2808 KB  
Article
Field Monitoring and Identification Method for Overflow of Fractured-Vuggy Carbonate Reservoir
by Qiangui Zhang, Zelin Yan, Xiangyu Fan, Zhilin Li, Pengfei Zhao, Juntian Shuai, Lichun Jia and Lu Liu
Energies 2023, 16(5), 2399; https://doi.org/10.3390/en16052399 - 2 Mar 2023
Cited by 4 | Viewed by 1928
Abstract
Since carbonate reservoirs develop pores and fractures and have a complex formation pressure system, overflow and even blowout seriously threaten the exploration and development of these kinds of reservoirs. According to the overflow characteristics of fractured-vuggy carbonate reservoirs, a field monitoring and identification [...] Read more.
Since carbonate reservoirs develop pores and fractures and have a complex formation pressure system, overflow and even blowout seriously threaten the exploration and development of these kinds of reservoirs. According to the overflow characteristics of fractured-vuggy carbonate reservoirs, a field monitoring and identification method for overflow has been developed. This method is based on the top-down logic framework for early overflow identification, combined with optimized monitoring parameters. The DBSCAN clustering algorithm is used to identify abnormal logging parameters, and thus, a probability weight coefficient of overflow (K) indicated by the abnormal engineering parameters of a gas well can be calculated. K is divided into four early warning response levels of overflow, and the overflow control operation can be made according to the different levels of early warning response. Based on this method, an integrated software system for field monitoring and identification of early overflow is designed. This software system integrates the functions of data collection and management, overflow risk parameter calculation, overflow early warning, and overflow simulation analysis. Finally, according to a case analysis of overflow prediction for a fractured-vuggy carbonate reservoir in Well XX, this method’s prediction stability and accuracy are demonstrated, indicating that it can be used for the overflow early warning in engineering practice. Full article
(This article belongs to the Special Issue Geophysics, Geomechanics, Drilling Mechanics and Seepage Mechanics of Unconventional Oil and Gas Reservoirs)
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