An appraisal of viscous oil–water two-phase flow through an undulated pipeline in peak configuration

Desamala, Anand B.; Dasmahapatra, Ashok Kumar; Mandal, Tapas Kumar

doi:10.1016/j.expthermflusci.2015.04.017

Cited by 4 publications

(2 citation statements)

References 48 publications

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“…The fluid flow in pipelines is considered as an oil-water two-phase flow [37]. Internal corrosion tends to occur at the water-wetting of the pipe wall.…”

Section: Critical Operating Parametersmentioning

confidence: 99%

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Optimization for Pipeline Corrosion Sensor Placement in Oil-Water Two-Phase Flow Using CFD Simulations and Genetic Algorithm

Shi,

Jiang,

Ludwig

et al. 2023

Sensors

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Internal corrosion is a major concern in ensuring the safety of transmission and gathering pipelines in Structural Health Monitoring (SHM). It usually requires numerous sensors deployed inside the piping system to comprehensively cover the locations with high corrosion rates. This study presents a hybrid modeling strategy using Computational Fluid Dynamics (CFD) and Genetic Algorithm (GA) to improve the sensor placement scheme for corrosion detection and monitoring. The essence of the proposed strategy harnesses the well-validated physical modeling capability of the CFD to simulate the oil-water two-phase flow and the stochastic searching ability of the GA to explore better solutions on a global level. The CFD-based corrosion rate prediction was validated through experimental results and further used to form the initial population for GA optimization. Importantly, fitness was defined by considering both sensing effectiveness and cost of sensor coverage. The hybrid modeling strategy was implemented through case studies, where three typical pipe fittings were used to demonstrate the applicability of the sensor layout design for corrosion detection in pipelines. The GA optimization results show high accuracy for sensor placement inside the pipelines. The best fitness of the U-shaped, upward-inclined, and downward-inclined pipes were 0.9415, 0.9064, and 0.9183, respectively. Upon this, the hybrid modeling strategy can provide a promising tool for the pipeline industry to design the practical placement.

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“…The fluid flow in pipelines is considered as an oil-water two-phase flow [37]. Internal corrosion tends to occur at the water-wetting of the pipe wall.…”

Section: Critical Operating Parametersmentioning

confidence: 99%

“…The Conoco LVT 200 oil was selected as the oil phase. The dissolution of CO 2 slightly changes the vapor pressure to 7.3 kPa [30,37]. In addition, the pipe wall used ASTM A53 carbon steel, which is extensively applied in ordinary steam, water, and gas pipelines.…”

Section: Critical Operating Parametersmentioning

confidence: 99%