Nonlinear instability of interfacial waves in stratified laminar channel flow

García, Deibi E.; Rodríguez, Daniel; Nieckele, Angela O.; Paula, Igor Braga de

doi:10.1016/j.ijmultiphaseflow.2020.103463

Cited by 6 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By comparing the experimental and numerical simulation results, the results show that the VOF multiphase flow model and SST k-ω can determine the gas-liquid two-phase flow pattern [11]. In 2020, Garcia et al discussed the application of the VOF model in ANSYS-Fluent software (ANSYS FLUENT Release 15.0) to slug flow in two-dimensional horizontal pipelines, and proposed a reduced-order model for predicting the nonlinear flow dynamics of laminar liquid-liquid flow [12]. In the same year, to deepen the understanding of the transient characteristics of gas-liquid two-phase slug flow in horizontal pipelines, Deendarlianto et al conducted CFD numerical simulation and experimental research on relevant phenomena [13].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Monitoring of Low-Yielding Gas Wells by Combining Ultrasonic Sensor and HGWO-SVR Algorithm

Wang,

Song,

Shi

et al. 2023

Processes

View full text Add to dashboard Cite

As gas wells enter the middle and late stages of production, they will become low-yielding gas wells due to fluid loading and insufficient formation pressure. For many years, there has been a lack of effective dynamic monitoring methods for low-yielding gas wells, and it is difficult to determine the production of each phase in each production layer, which makes further development face great uncertainty and a lack of basis for measurement adjustment. In order to solve this problem, this paper proposes an intelligent dynamic monitoring method suitable for low-yielding gas wells, which uses an ultrasonic Doppler logging instrument and machine learning algorithm as the core to obtain the output contribution of each production layer of the gas well. The intelligent dynamic monitoring method is based on the HGWO-SVR algorithm to predict the flow of each phase. The experimental data are selected for empirical analysis, and the effectiveness and accuracy of the method are verified. The research shows that this method has good application prospects and can provide strong technical support for gas reservoir production stability and development adjustment.

show abstract

Section: Introductionmentioning

confidence: 99%

Dynamic Monitoring of Low-Yielding Gas Wells by Combining Ultrasonic Sensor and HGWO-SVR Algorithm

Wang,

Song,

Shi

et al. 2023

Processes

View full text Add to dashboard Cite

show abstract

“…Roitberg et al [10] conducted an experimental research on the gas-liquid two-phase flow in the downward inclined pipeline by using tubular endoscopy technology and obtained the gas-liquid interface morphology under different inclination angles and gas flow rates. García et al [11] studied different nonlinear instability mechanisms that promote interfacial wave saturation or rapid amplification in stratified flows by numerical simulation methods. Barmak et al [12] studied the non-modal transient growth of two mutually immiscible fluids perturbed in horizontal and inclined channel flow.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Gas–Liquid Interface Evolution during Liquid Displaced by Gas of Mobile Pipeline

et al. 2022

View full text Add to dashboard Cite

The mobile pipeline is the most effective and reliable means for the emergency oil transfer task, which is temporarily laid on the field. After completing the task, the oil in the pipeline should be emptied before the mobile pipeline is removed. The oil in pipeline gradually displaced by the air is a main method of pipeline evacuation, which is the only choice of jet fuel pipeline. Due to the convection between gas and oil phases, the length of the oil–gas mixing section and the evolution of the oil–gas interface change with time. The evolution of the gas–liquid interface directly determines the different flow patterns of oil–gas two phases, which are very important for the mobile pipeline evacuation. In this paper, the characteristics of the gas–liquid interface evolution during the water displaced by air are studied, using the multi-phase pipeline experiment. Through the change of the gas–liquid interface in the initial stage of gas cap evacuation, it is found that the gas–liquid interface can be divided into smooth, wavy, and dispersed forms under different initial gas flow rates and different inclination angles. Slug phenomenon may occur in the process of gas-carrying liquid flow in the pipeline. The emergence of slug is mainly affected by hydraulic conditions and pipeline operating conditions. The liquid plug body is complex and unstable, and there will be a mutual transition between different liquid slug shapes. The increase of the inclination angle and gas phase velocity will accelerate the occurrence of liquid slug frequency.

show abstract

Prediction of the interfacial disturbance wave velocity in vertical upward gas-liquid annular flow via ensemble learning

Song

et al. 2022

Energy

View full text Add to dashboard Cite

Nonlinear instability of interfacial waves in stratified laminar channel flow

Cited by 6 publications

References 41 publications

Dynamic Monitoring of Low-Yielding Gas Wells by Combining Ultrasonic Sensor and HGWO-SVR Algorithm

Dynamic Monitoring of Low-Yielding Gas Wells by Combining Ultrasonic Sensor and HGWO-SVR Algorithm

Experimental Study on Gas–Liquid Interface Evolution during Liquid Displaced by Gas of Mobile Pipeline

Prediction of the interfacial disturbance wave velocity in vertical upward gas-liquid annular flow via ensemble learning

Contact Info

Product

Resources

About