Numerical Investigation on Gas Accumulation and Gas Migration in the Wavy Horizontal Sections of Horizontal Gas Wells

Huang, Yi; Yang, Jin; Meng, Lingyu; Chen, Xuyue; Luo, Ming; Li, Wentuo

doi:10.1155/2020/7275209

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Hence, the accumulated liquid amount begins to increase, and therefore the gas phase is compressed. The gas accumulation section enters the new compression stage [35]. Assuming that backpressure at the end of the uphill liquid section is equal to the atmospheric pressure, the gas-liquid two-phase model for the U-shaped pipe section was built to study the variations in the pressure, length, and liquid level.…”

Section: Compression Model Of the Gas Accumulation Sectionmentioning

confidence: 99%

Modeling of Gas Migration in Large Elevation Difference Oil Transmission Pipelines during the Commissioning Process

Feng¹,

Zhu²,

Song³

et al. 2022

Energies

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Oil pipeline construction and operation in mountainous areas have increased in southwestern China, with oil consumption increasing. Such liquid pipelines laid in mountainous areas continuously undulate along the terrain, resulting in many large elevation difference pipe segments. Serious gas block problems often occur during the commissioning process of these pipelines due to the gas/air accumulation at the high point of the pipe, which causes pipeline overpressure and vibration, and even safety accidents such as bursting pipes. To solve this problem, the gas–liquid replacement model and its numerical solution are established with consideration of the initial gas accumulation formation and the gas segment compression processes in a U-shaped pipe during the initial start-up operation. Additionally, considering the interactions of the gas-phase transfer in the continuous U-shaped pipe, and the influence of the length, inclination angle, and backpressure on the air vent process, the gas migration model for a continuous U-shaped pipe is established to predict the gas movement process. Finally, the field oil pipe production data were applied to verify the model. The results demonstrate that the maximum deviation between the calculated pressure during the start-up process and real data is 0.3 MPa, and the critical point of crushing the gas in the pipe section is about 0.2 Mpa. Additionally, the results show that the mass transfer of the gas section in the multi-pipe hydraulic air vent process causes the gas accumulation section to increase in downstream of the pipe. This study’s achievements can provide theoretical guidance and technical support for the safe and stable operation of continuous undulating liquid pipelines with large drops.

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Section: Compression Model Of the Gas Accumulation Sectionmentioning

confidence: 99%

Modeling of Gas Migration in Large Elevation Difference Oil Transmission Pipelines during the Commissioning Process

Feng¹,

Zhu²,

Song³

et al. 2022

Energies

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show abstract

“…By combining computer technology with the thinking of drilling uid experts, the level of drilling uid design can be raised to a new level, and the design speed and quality will be greatly improved [1][2][3][4][5]. e development of the drilling uid optimization design system can not only solve the problems in the traditional drilling uid design but also has a more prominent feature that the computer system can store the design data for secondary use so that the experience accumulated in the previous design can be absorbed and the mistakes made in the past can be avoided in the new drilling uid design process [6][7][8][9]. At the same time, the system can also output a uni ed design document.…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of Drilling Fluid Chemical Formula Based on Artificial Intelligence

Chen

2022

Computational Intelligence and Neuroscience

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Through the research and development of the regression prediction function of support vector machine, this paper applies it to the prediction of drilling fluid performance parameters and the formulation design of drilling fluid. The research in this paper can reduce the experimental workload and improve the efficiency of drilling fluid formulation design. The apparent viscosity (AV), plastic viscosity (PV), API filter loss (FLAPI), and roll recovery (R) of the drilling fluid were selected as the inspection objects of the drilling fluid performance parameters, and the support vector machine was used to establish a model for predicting the drilling fluid performance parameters. This predictive model was used as part of the overall drilling fluid formulation optimization design model. For a given drilling fluid performance parameter requirement, this model can be applied to reverse the addition of various treatment agents, and finally, the prediction accuracy of the model is verified by experiments.

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Numerical Investigation on Gas Accumulation and Gas Migration in the Wavy Horizontal Sections of Horizontal Gas Wells

Cited by 2 publications

References 21 publications

Modeling of Gas Migration in Large Elevation Difference Oil Transmission Pipelines during the Commissioning Process

Modeling of Gas Migration in Large Elevation Difference Oil Transmission Pipelines during the Commissioning Process

Optimization Design of Drilling Fluid Chemical Formula Based on Artificial Intelligence

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