Numerical simulation of combustion, flow, and heat transfer process of an oilfield heating furnace under different production conditions

Zhao, Xiao Guang; Lan, Meng; Ma, Jianguo; Wang, Ronghuan; Tian, Chunyu; Lian, Hongjun; Gao, Xiaomeng; Wu, Gang

doi:10.1002/ese3.1041

Cited by 2 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the advantages of this particular approach to turbulent combustion modeling is that one can calculate the surface densities of the flame from more refined simulations (the DNS) and use them to evaluate the performance of the flame. our models [64][65][66]. Most of the already existing combustion models to try to estimate the folding of a flame are algebraic models which estimate the folding of sub-meshs from local quantities.…”

Section: Related Workmentioning

confidence: 99%

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Amroun,

Hafid,

Ammi

2022

IJICS

View full text Add to dashboard Cite

One of the applications that machine learning can offer to the world of Engineering and Fluid Mechanics in particular is the calibration of models making it possible to approximate the representation of a particular phenomenon. Indeed, the computational cost generated by some fluid mechanics models pushes scientists to use other models close to the original models but less computationally intensive in order to facilitate their handling. Among the different approaches used: machine learning coupled with some optimization methods and algorithms in order to reduce the computation cost induced. This paper proposes a new framework called OPTI-ENS: a new flexible, optimized and improved method, to calibrate a physical model, called the wake oscillator (WO), which simulates the vibratory behaviors of overhead line conductors. An approximation of a heavy and complex model called the strip theory (ST) model. OPTI-ENS is composed of an ensemble machine learning algorithm (ENS) and an optimization algorithm of the WO model so that the WO model can generate the adequate training data as input to the ENS model. ENS model will therefore take as input the data from the WO model and output the data from the ST model. As a benchmark, a series of Machine learning models have been implemented and tested. The OPTI-ENS algorithm was retained with a best Coefficient of determination (R2 Score) of almost 0.7 and a Root mean square error (RMSE) of 7.57e-09. In addition, this model is approximately 170 times faster (in terms of calculation time) than an ENS model without optimization of the generation of training data by the WO model. This type of approach therefore makes it possible to calibrate the WO model so that simulations of the behavior of overhead line conductors are carried out only with the WO model.

show abstract

Section: Related Workmentioning

confidence: 99%

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Amroun,

Hafid,

Ammi

2022

IJICS

View full text Add to dashboard Cite

show abstract

Study on Vibration and Thermal Expansion of Heating Furnace Manifold Based on Fluid-Structure Interaction Method

Zhang

Tang

et al. 2023

Heat Trans Res

View full text Add to dashboard Cite

In the petrochemical industry, the manifolds are usually adopted as the distributor of the heating furnace. The structure of the manifold plays a crucial role in the safe operation of the heating furnace. For the straight tube structure and fishbone structure of the manifold, thermal expansion calculation was carried out in this paper. The expansion amount of each branch pipe was obtained, and the maximum expansion amount of the branch pipe was 91.8% of the reserved size. The accuracy of the design of the branch pipe wall clearance allowance was verified. Numerical simulations of the fluid-structure interaction were carried out for both structures, which showed that the two structures have similar deformation and frequency in terms of overall structural vibration. However, in the branch vibration, the stress and vibration frequency of the fishbone branch increase by 12.6% and 25.3%, respectively, compared to the straight tube branch, which is caused by the presence of large vortices in the branch of the fishbone structure. Finally, modal analyses were performed for both structures, and the results can be used to estimate whether the vibration frequencies of the two structures avoid the natural frequencies.

show abstract

Numerical simulation of combustion, flow, and heat transfer process of an oilfield heating furnace under different production conditions

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 2 publications

References 17 publications

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Study on Vibration and Thermal Expansion of Heating Furnace Manifold Based on Fluid-Structure Interaction Method

Contact Info

Product

Resources

About