Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport

Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport

A new deep-learning-based surrogate model is developed and applied for predicting dynamic temperature, pressure, gas rate, oil rate, and water rate with different boundary conditions in pipeline flow. The surrogate model is based on the multilayer perceptron (MLP), batch normalization and Parametric...

Full description

Bibliographic Details
Main Authors:	Feng Qin, Zhenghe Yan, Peng Yang, Shenglai Tang, Hu Huang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-09-01
Series:	Frontiers in Energy Research
Subjects:	deep learning multilayer perceptron surrogate model pipeline simulation dynamic weights
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2022.979168/full

Similar Items

Corrigendum: Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport
by: Feng Qin, et al.
Published: (2022-12-01)

Surrogate Aerodynamic Wing Modeling Based on a Multilayer Perceptron
by: Oscar Ulises Espinosa Barcenas, et al.
Published: (2023-02-01)

3FO: The Three-Frame-Only Approach for Fast and Accurate Monocular SLAM Initialization
by: Peng Zhang, et al.
Published: (2022-01-01)

Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers
by: Tiago L. Passafaro, et al.
Published: (2020-11-01)

Towards domain-specific surrogate models for smart grid co-simulation
by: Stephan Balduin, et al.
Published: (2019-09-01)

Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination
by: Chenchen Zhou, et al.
Published: (2023-09-01)

A Machine Learning Pipeline to Forecast the Electricity and Heat Consumption in a City District
by: Gabriel Antonesi, et al.
Published: (2023-05-01)

Accelerating Analysis for Structure Design via Deep Learning Surrogate Models
by: Minqi Shao, et al.
Published: (2023-02-01)

Deep Learning Approach on Prediction of Soil Consolidation Characteristics
by: Mintae Kim, et al.
Published: (2024-02-01)

USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY
by: Grzegorz Kłosowski, et al.
Published: (2017-09-01)

Understanding Deep Learning: Expected Spanning Dimension and Controlling the Flexibility of Neural Networks
by: David Berthiaume, et al.
Published: (2020-10-01)

Ensemble Surrogate Models for Fast LIB Performance Predictions
by: Marco Quartulli, et al.
Published: (2021-07-01)

Deep learning with multilayer perceptron for optimizing the heat transfer of mixed convection equipped with MWCNT-water nanofluid
by: Xiaogang Dong, et al.
Published: (2024-05-01)

Comparison of the Use of Multilayer Perceptron Neural Network with Weighted Regression in Determining the Geographical Pattern of the Brucellosis Disease Incidence in Mazandaran Province, Iran (2009-2018)
by: Maryam Salmani Seraji, et al.
Published: (2023-12-01)

Predicting bus ridership based on the weather conditions using deep learning algorithms
by: Zakir H. Farahmand, et al.
Published: (2023-05-01)

Application of machine learning to develop a real-time air-cooled condenser monitoring platform using thermofluid simulation data
by: Rashid A. Haffejee, et al.
Published: (2021-03-01)

Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models
by: Hyeyeong Choe, et al.
Published: (2021-06-01)

A Deep Learning Convolutional Neural Network for Antenna Near-Field Prediction and Surrogate Modeling
by: Md Rayhan Khan, et al.
Published: (2024-01-01)

Deep Graph Learning-Based Surrogate Model for Inverse Modeling of Fractured Reservoirs
by: Xiaopeng Ma, et al.
Published: (2024-03-01)

Physical parameter optimization method for earth system model based on multi-layer perceptron surrogate model
by: Wu Li, et al.
Published: (2019-08-01)

A List-Ranking Framework Based on Linear and Non-Linear Fusion for Recommendation from Implicit Feedback
by: Buchen Wu, et al.
Published: (2022-05-01)

An Optimal Deep Learning Approach for Classification of Age Groups in Social Network
by: Anil Kumar Swain, et al.
Published: (2020-04-01)

NEURAL NETWORKS FOR THE SIMULATION OF MICROCLIMATIC PARAMETERS IN DAIRY HOUSES
by: Alessandro D'Emilio, et al.
Published: (2009-06-01)

Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
by: Paul Westermann, et al.
Published: (2021-03-01)

Automatic Reclaimed Wafer Classification Using Deep Learning Neural Networks
by: Po-Chou Shih, et al.
Published: (2020-05-01)

Forecasting Pneumonia Toddler Mortality Using Comparative Model ARIMA and Multilayer Perceptron
by: Ni Kadek Ary Indah Suryani, et al.
Published: (2022-08-01)

Estimation of wind power in coastal areas using a Model based on the learning of a Multilayer Perceptron: Case of Douala, Cameroon
by: Nkeng Matip Michel Jessy, et al.
Published: (2022-01-01)

Hybrid Deep Neural Network Model for Multi-Step Energy Prediction of Prosumers
by: Marcel Antal, et al.
Published: (2022-05-01)

Deep Learning Over Reduced Intrinsic Domains for Efficient Mechanics of the Left Ventricle
by: Gonzalo D. Maso Talou, et al.
Published: (2020-02-01)

Research Note: Embryonic viability by weight difference between donor and surrogate eggs in a surrogate eggshell incubation system
by: Hyeon Yang, et al.
Published: (2022-05-01)

Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron
by: Ali Usman Gondal, et al.
Published: (2021-07-01)

Surrogate models for composed simulation models in energy systems
by: Stephan Balduin
Published: (2018-10-01)

Mapping Seasonal Agricultural Land Use Types Using Deep Learning on Sentinel-2 Image Time Series
by: Misganu Debella-Gilo, et al.
Published: (2021-01-01)

Identification of Alteration Minerals from Unstable Reflectance Spectra Using a Deep Learning Method
by: Soichiro Tanaka, et al.
Published: (2019-04-01)

Perceptron: Learning, Generalization, Model Selection, Fault Tolerance, and Role in the Deep Learning Era
by: Ke-Lin Du, et al.
Published: (2022-12-01)

Uncertainty Analysis of Numerical Simulation of Seawater Intrusion Using Deep Learning-Based Surrogate Model
by: Tiansheng Miao, et al.
Published: (2022-09-01)

A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification
by: Mehdi Khashei, et al.
Published: (2023-04-01)

Pipeline rules of thumb handbook : quick and accurate solutions to your everyday pipeline problems /
by: McAllister, E. W.
Published: (2004)

Pipeline rules of thumb handbook : quick and accurate solutions to your everyday pipeline problems /
by: McAllister, E. W.
Published: (2009)

Deep-HPI-pred: An R-Shiny applet for network-based classification and prediction of Host-Pathogen protein-protein interactions
by: Muhammad Tahir ul Qamar, et al.
Published: (2024-12-01)