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Erschienen in: Chemistry and Technology of Fuels and Oils 2/2023

02.06.2023 | INNOVATIVE TECHNOLOGIES OF OIL AND GAS

Study of Risk Matrix for Overflow-Backpressure-Based Deepwater Managed Pressure Drilling

verfasst von: Yingming He, Meipeng Ren, Xiangqian Yang, Qing Chen, Zhiqiang Huang, Xiangwei Kong

Erschienen in: Chemistry and Technology of Fuels and Oils | Ausgabe 2/2023

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Abstract

Overflow accidents are frequent in deepwater managed-pressure drilling, and the monitoring basis and control methods of risks are vague, necessitating the establishment of a suitable risk matrix. Based on the traditional risk matrix analysis method, this paper establishes a overflow-backpressure risk matrix with overflow size and backpressure threshold as judgment criteria, and formulates 11-level backpressure application plans and backpressure application calculation models. The results show that the overflow-backpressure risk matrix with overflow size and backpressure threshold as judgment criteria meets the requirements of deepwater managed-pressure drilling design and can significantly determine the risk level of overflow occurrence. The formulated backpressure application calculation model refines the backpressure control situation of managed-pressure drilling and can apply different backpressure according to different risk levels. After applying risk control measures, the maximum allowable drilling speed and backpressure in different working conditions of the 3950-4130 m wellbore section were designed on-site at well A1, and the risk level was reduced to 0. This overflow-backpressure risk matrix can classify and control the risk of overflow in deepwater managed-pressure drilling.

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Metadaten
Titel
Study of Risk Matrix for Overflow-Backpressure-Based Deepwater Managed Pressure Drilling
verfasst von
Yingming He
Meipeng Ren
Xiangqian Yang
Qing Chen
Zhiqiang Huang
Xiangwei Kong
Publikationsdatum
02.06.2023
Verlag
Springer US
Erschienen in
Chemistry and Technology of Fuels and Oils / Ausgabe 2/2023
Print ISSN: 0009-3092
Elektronische ISSN: 1573-8310
DOI
https://doi.org/10.1007/s10553-023-01530-8

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