Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization technique

Zahid, Alap Ali; Rehman, Syed Raza ur; Rushd, Sayeed; Rahman, Mohammad Azizur

doi:10.1007/s11708-018-0582-y

Cited by 19 publications

(11 citation statements)

References 19 publications

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“…Therefore, non-contact measurement like high-speed photography can be applied and combined with digital technology. Compared with other methods, the highspeed photography method can observe the detailed behavior of bubbles without disturbing the flow, and also be able to process multiple images and extract the instantaneous void fraction information in a short time (Fu and Liu, 2016;Zahid et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network

et al. 2021

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Void fraction is one of the key parameters for gas-liquid study and detection of nuclear power system state. Based on fully convolutional neural network (FCN) and high-speed photography, an indirect void fraction measure approach for flow boiling condition in narrow channels is developed in this paper. Deep learning technique is applied to extract image features and can better realize the identification of gas and liquid phase in channels of complicated flow pattern and high void fraction, and can obtain the instantaneous value of void fraction for analyzing and monitoring. This paper verified the FCN method with visual boiling experiment data. Compared with the time-averaged experimental results calculated by the energy conservation method and the empirical formula, the relative deviations are within 11%, which verifies the reliability of this method. Moreover, the recognition results show that the FCN method has promising improvement in the scope of application compared with the traditional morphological method, and meanwhile saves the design cost. In the future, it can be applied to void fraction measurement and flow state monitoring of narrow channels under complex working conditions.

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Section: Introductionmentioning

confidence: 99%

Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network

et al. 2021

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“…Liu [6] studied an improved dynamic pressure waves method that localization of the leak in natural gas pipeline. We have performed numerical simulations and experiments for single phase flow [7]- [9], gas/liquid flow [10]- [14], solid/liquid [15], gas/liquid/solid flow [16], [17]. We have also previously conducted a critical literature review on onshore/offshore leak detection and single phase (crude oil and natural gas) leak detection computational fluid dynamics modeling [18].…”

Section: Introductionmentioning

confidence: 99%

Study on Pinhole Leaks in Gas Pipelines: CFD Simulation and Its Validation

Ayyildiz

Rahman

Delgado

et al. 2021

WIT Transactions on Engineering Sciences

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In the present study, the computational fluid dynamics (CFD) simulations of pinhole leaks (1.27-3.3 mm) in a low-pressure, up to 2.5 bars, air pipeline which has 16 mm (0.62 inch) inner diameter has been performed by using a 3D transient DES (detachable eddy simulation) model of a commercial CFD code, ANSYS Fluent R3. Also, a laboratory-scale experimental setup is established with a 5 m long pipe with inner diameter (ID) = 16 mm. In steady operational stages, mass balance method is used to calculate the leakage mass flow rate in the experimental setup. In addition, pressure point analysis (PPA) with two dynamic and one differential pressure gauges is used to detect chronic/small leaks at transient stages. This method is cost effective and easy to maintain compared to expensive acoustic leak detection systems. The numerical results were validated against the experimental data. The simulations values of leakage mass flow rate are slightly higher (~10%) than the experiments but overall the simulation results are in good agreement with experiment. The proposed model simulates the flow leakage, pressure distribution and velocity profile around the defined size of the leakage. Transient simulation is performed to use power spectral density (PSD) and Fast Fourier transformation (FFT) of the acoustic pressure variation to predict acoustic oscillations and turbulent behavior of the flow field around the leakage location. These results could help advance current understandings of several leak detection systems that will reduce the false alarms of the leakage monitoring systems.

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“…There are essential features of multiphase flows whose modeling outcome is contentious and structural explanation is still unexplored. The most common type of multiphase flow in almost all chemical, petroleum, and production industries is the two-phase gas/liquid flow [2,3]. Different forms of flow patterns may be observed when two or more phases flow simultaneously [2].…”

Section: Introductionmentioning

confidence: 99%

“…The most common type of multiphase flow in almost all chemical, petroleum, and production industries is the two-phase gas/liquid flow [2,3]. Different forms of flow patterns may be observed when two or more phases flow simultaneously [2]. In pipe cross-sections, unpredictable turbulent flow structures generating highly asymmetric volume distribution are a challenge in experiential investigations [4,5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Flow Regime, Slug Frequency and Wavelet Analysis of Air/Newtonian and Air/non-Newtonian Two-Phase Flow

et al. 2020

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This study focused on gas/Newtonian and gas/non-Newtonian two-phase horizontal fluid flow behavior by analyzing their flow regime identification and flow structural analysis on a horizontal flow loop apparatus. This involved the recognition of two-phase flow regimes for this flow loop and validation with existing flow maps in the literature. In addition, the study included flow pattern identification via wavelet analysis for gas/Newtonian and gas/non-Newtonian two-phase fluid flow in a horizontal flow loop apparatus. Furthermore, the study was extended to the detailed examination of slug frequency in the presence of air/Newtonian and air/non-Newtonian fluid flow, and the predicted slug frequency model was applied to the studied systems. The obtained results suggest that the flow regime maps and slug frequency analysis have a significant impact. The obtained pressure sensor results indicate that the experimental setup could not provide high-frequency and high-resolution data; nevertheless, wavelet decomposition and wavelet norm entropy were calculated. It offered recognizable flow characteristics for bubble, bubble-elongated bubble, and slug flow patterns. Therefore, this study can provide deep insight into intricate multiphase flow patterns, and the wavelet could potentially be applied for flow analysis in oil and gas pipelines.

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Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization technique

Cited by 19 publications

References 19 publications

Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network

Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network

Study on Pinhole Leaks in Gas Pipelines: CFD Simulation and Its Validation

Flow Regime, Slug Frequency and Wavelet Analysis of Air/Newtonian and Air/non-Newtonian Two-Phase Flow

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