LAPSE:2024.0620
Published Article

LAPSE:2024.0620
Gas-Flow-Rate Inversion Based on Experiments and Simulation of Flame Combustion Characteristics in a Drilling Blowout
June 5, 2024
Abstract
Accurately estimating the gas-flow rate at a wellhead to invert the formation pressure and production capacity information can be the basis for subsequent well-killing parameter design following oil and gas-well drilling blowout and ignition. Based on the multicomponent characteristics of the blowout gas and the turbulence intensity of the blowout flame, as well as the effects of complex factors such as environmental wind direction, wind speed, and wellhead structure, a numerical model for actual drilling blowout ignition is established. Jet-flame experiments are conducted under blowout conditions to verify the accuracy of the model. The temperature and radiation fields and flame morphologies of the well jet flow flame under different lateral wind speeds, well jet flow rates, and wellhead diameters are analyzed. Previous studies have found that as the lateral wind speed increases, the maximum temperature and maximum thermal radiation intensity of the blowout flame first decrease and then increase. However, as the amount of well jet increases, although the flame influence area increases, the maximum temperature does not increase significantly, and the maximum thermal radiation intensity actually decreases. Based on experimental and numerical simulation datasets, a high-yield gas-well jet volume prediction method based on the flame height and thermal radiation intensity of the well jet flow is constructed, which has important engineering application value for achieving successful well killing following well jet ignition.
Accurately estimating the gas-flow rate at a wellhead to invert the formation pressure and production capacity information can be the basis for subsequent well-killing parameter design following oil and gas-well drilling blowout and ignition. Based on the multicomponent characteristics of the blowout gas and the turbulence intensity of the blowout flame, as well as the effects of complex factors such as environmental wind direction, wind speed, and wellhead structure, a numerical model for actual drilling blowout ignition is established. Jet-flame experiments are conducted under blowout conditions to verify the accuracy of the model. The temperature and radiation fields and flame morphologies of the well jet flow flame under different lateral wind speeds, well jet flow rates, and wellhead diameters are analyzed. Previous studies have found that as the lateral wind speed increases, the maximum temperature and maximum thermal radiation intensity of the blowout flame first decrease and then increase. However, as the amount of well jet increases, although the flame influence area increases, the maximum temperature does not increase significantly, and the maximum thermal radiation intensity actually decreases. Based on experimental and numerical simulation datasets, a high-yield gas-well jet volume prediction method based on the flame height and thermal radiation intensity of the well jet flow is constructed, which has important engineering application value for achieving successful well killing following well jet ignition.
Record ID
Keywords
blowout, gas-flow-rate inversion, jet flame, numerical simulation
Subject
Suggested Citation
Zhang X, Liu X, Huang W, Hu J, Du Y, Ge D, Sun X. Gas-Flow-Rate Inversion Based on Experiments and Simulation of Flame Combustion Characteristics in a Drilling Blowout. (2024). LAPSE:2024.0620
Author Affiliations
Zhang X: Oil and Gas Engineering Research Institute of PetroChina Tarim Oilfield Branch, Kuerle 841000, China
Liu X: Offshore Oil Engineering (Qingdao) Co., Ltd., Qingdao 266555, China
Huang W: Oil and Gas Engineering Research Institute of PetroChina Tarim Oilfield Branch, Kuerle 841000, China
Hu J: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266555, China
Du Y: Oil and Gas Engineering Research Institute of PetroChina Tarim Oilfield Branch, Kuerle 841000, China
Ge D: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266555, China
Sun X: School of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266555, China
Liu X: Offshore Oil Engineering (Qingdao) Co., Ltd., Qingdao 266555, China
Huang W: Oil and Gas Engineering Research Institute of PetroChina Tarim Oilfield Branch, Kuerle 841000, China
Hu J: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266555, China
Du Y: Oil and Gas Engineering Research Institute of PetroChina Tarim Oilfield Branch, Kuerle 841000, China
Ge D: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266555, China
Sun X: School of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266555, China
Journal Name
Processes
Volume
12
Issue
4
First Page
766
Year
2024
Publication Date
2024-04-10
ISSN
2227-9717
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Original Submission
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PII: pr12040766, Publication Type: Journal Article
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LAPSE:2024.0620
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https://doi.org/10.3390/pr12040766
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Jun 5, 2024
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