Detection of Subsea Gas Leakages via Computational Fluid Dynamics and Convolutional Neural Networks

Caldas, Gustavo Luís Rodrigues; Bento, Thiago Paulo Frascareli; Moreira, Roger Matsumoto; Júnior, Maurício Bezerra de Souza

doi:10.26678/abcm.cobem2021.cob2021-2152

Cited by 1 publication

(3 citation statements)

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“…In addition to the experimental approach, Computational Fluid Dynamics (CFD) simulations were performed for comparison purposes. The numerical approach was also assessed as potential tool to help designing an automated subsea gas leakage monitoring system based on image analysis algorithms that can be used as data source for neural networks training [30]. The herein performed simulations and the related numerical parameters have replicated the experimental test conditions.…”

Section: Numerical Simulationsmentioning

confidence: 98%

“…Wherein, ρ is fluid density; 𝑢 𝑖 = (𝑢 𝑖 + 𝑢 ′ 𝑖 ) is fluid velocity decomposition in mean and fluctuating velocities, respectively; 𝑃 is mean dynamics pressure; μ is dynamics viscosity; σ is surface tension force at the two-phase interface; and i and j subscripts indicate the direction of an orthogonal axesbased system [30].…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…Despite the distance in relation to de observed for both, do = 1 mm and do = 2 mm, the linearity similar to both, Jamialahmadi [17] and the experimental results, is notorious for the numerical results. Jamialahmadi [30] Experimental: do=5mm…”

Section: Analytical Comparisonmentioning

confidence: 99%

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Analysis and Prediction of Equivalent Diameter of Air Bubbles Rising in Water

Gabriel de Carvalho Nascimento,

Roger Matsumoto Moreira,

Felipe Pereira de Moura

et al. 2024

CFDL

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The equivalent diameter of rising bubbles in liquids is an important parameter that has been investigated for decades by researchers for different purposes. Bubble diameter plays important role in quantifying oil and gas leaks in subsea leak analysis, since it allows the prediction of the magnitude of leaks in seabed petroleum wells and other structures through images obtained by underwater vehicles at great depths. Most studies available in the literature on the subject focus on investigating air bubbles in water; therefore, they were used as the main guide of the experimental apparatus described in this article. Several tests were conducted with air bubble chain in tap water, whose flow rate ranged from 21.1 mL/min to 234.4 mL/min, whereas the bubble equivalent diameter ranged from 4.1 mm to 8.2 mm. In addition, computational fluid dynamics simulations were carried out for comparison purposes; they were validated as potential tools to help designing an automated subsea gas leakage monitoring system based on image analysis algorithms. The herein proposed model could be both analytically and experimentally validated, based on comparisons to findings reported by other authors. This procedure enabled gathering evidence about the most efficient analytical predictions available in the literature for the herein addressed scenario. The results in the present study are consistent to those recorded in the main related articles.

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Section: Numerical Simulationsmentioning

confidence: 98%

Section: Numerical Simulationsmentioning

confidence: 99%