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| 1 | Ω型管的气液两相流动调整作用数值模拟研究显示文摘为了开发基于流动调整机制的严重段塞流抑制方法,提出了一种新型流动调整装置——Ω型管,应用数值模拟方法对Ω型管内气液分层流的流动特性进行了研究,探讨了Ω型管的基本单元个数(N)、基本单元之间的距离(d/D)、主弯管弯曲半径与管径的比值(r/D)、入口气液相流速(气相和液相折算速度,U_(SG)和U_(SL))等结构参数和流动条件对Ω型管气液两相流动调整作用的影响规律。研究结果表明:①Ω型管能够实现'液相对气相阻塞'和'气相对液相携带'两个物理过程,从而将分层流转变为间歇流型;②增加N和提高r/D均可增加上述物理过程的循环周期,N的增加为更多气相先于液相通过主弯管(气相被阻塞阶段)提供了条件r/D的提高有利于增加主弯管上游的液相累积量,使气相能够携带更多的液相通过主弯管(液相被携带阶段),使得Ω型管下游液相含率波动性增强、气液两相流动特性间歇性增强,从而增强Ω型管对分层流的流动调整作用;d/D的增加影响作用不显著;③U_(SG)不变、U_(SL)增加有利于增加主弯管上游的液相累积量,为气相携带更多的液相提供了条件;增加P导致U_(SG)降低,会减弱气相携带液相的能力;增加U_(SG)同时减小U_(SL)虽然可提高气相携带液相的能力;但液相供给的减少会降低液相的累积量,导致因气相携带而进入主弯管的液相减小,从而减弱Ω型管的流动调整作用。以上研究结果为优化设计Ω型管、探索其气液两相流动调整机理和应用于集输管线-立管系统提供了基础。 | 蒋亚莉 邢兰昌 华陈权 耿艳峰 | 2017 | 科学技术与工程2017，17，4： | 5 |
| 2 | A novel complex network-based deep learning method for characterizing gas-liquid two-phase flow显示文摘Gas-liquid two-phase flow widely exits in production and transportation of petroleum industry.Characterizing gas-liquid flow and measuring flow parameters represent challenges of great importance,which contribute to the recognition of flow regime and the optimal design of industrial equipment.In this paper,we propose a novel complex network-based deep learning method for characterizing gas-liquid flow.Firstly,we map the multichannel measurements to multiple limited penetrable visibility graphs(LPVGs)and obtain their degree sequences as the graph representation.Based on the degree distribution,we analyze the complicated flow behavior under different flow structures.Then,we design a dual-input convolutional neural network to fuse the raw signals and the graph representation of LPVGs for the classification of flow structures and measurement of gas void fraction.We implement the model with two parallel branches with the same structure,each corresponding to one input.Each branch consists of a channel-projection convolutional part,a spatial-temporal convolutional part,a dense block and an attention module.The outputs of the two branches are concatenated and fed into several full connected layers for the classification and measurement.At last,our method achieves an accuracy of 95.3%for the classification of flow structures,and a mean squared error of 0.0038 and a mean absolute percent error of 6.3%for the measurement of gas void fraction.Our method provides a promising solution for characterizing gas-liquid flow and measuring flow parameters. | Zhong-Ke Gao Ming-Xu Liu Wei-Dong Dang Qing Cai | 2021 | Petroleum Science2021，18，1： | 2 |
| 3 | An improved model for severe slugging stability criteria in offshore pipeline-riser systems显示文摘Flow assurance has been a major challenge in petroleum production systems especially in offshore operations where severe slugging is a dominant aching issue.This is characterized by pulsating flow behavior which impacts the reservoir productivity,pipeline-riser systems,and surface facilities(separator).The only means so far,of delivering reservoir fluids from offshore wells to the separator at the surface is by pipeline-riser systems where slugging is most prominent and oftentimes unavoidable.Though passive and active measures have been deployed over time to mitigate the associated problem,there is the need to develop a predictive tool for mitigating offshore slugging in the riser system.This study involves the use of a model and analysis approach to eliminate severe slugging based on the balance of forces acting on the pipeline-riser system.Modified stability criteria which consider accumulation and frictional pressure drops have been developed.The current approach is solely physicsdriven,to predict the corresponding liquid and gas velocities at which the fluctuations would be severe when producing multiphase fluids through pipeline-riser systems.By balancing the forces acting on a riser-pipeline system and accounting for frictional and accumulation effects,two hydraulic flow modeling approaches have been used in this study to improve the criteria for predicting the condition of severe slugging.The developed criteria were computed using MATLAB/Simulink and a severe slugging flow map was generated.The“new study 1”and“new study 2”showed a 16%and 13%increase respectively in predicted unstable cases than the Malekzadeh criteria.The criteria were tested at different separator pressures.The Taitel and Jansen criteria could not predict severe slugging at elevated separator pressure.Notwithstanding,the developed flow maps using the“new study 1”are more reliable than the“new study 2”.This is because the“new study 2”approach over defines the physics of severe slugging.The criteria were also tested at varying accumulation times.This was done by step increments in the order of magnitude of time.The separator pressure affects the optimal time for modeling the accumulation at the riser-base.The criteria are therefore useful for predicting optimal operating conditions for flow assurance for the pipeline-riser system in consideration. | Adesina Fadairo Chinemerem Obi Kegang Ling Vamegh Rasouli Olumuyiwa Aboaba Olumide Gbadamosi | 2022 | Petroleum Research2022，7，3： | 0 |
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