通过综合关联分析,神经网络可预测天然气水合物分解过程中的传热和传质情况

IF 6.7 1区 工程技术 Q2 ENERGY & FUELS
Fuel Pub Date : 2024-11-25 DOI:10.1016/j.fuel.2024.133820
Yinglong Zhang, Zhennan He, Pei Zhao, Gongming Xin, Ning Qin
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引用次数: 0

摘要

大量天然气以水合物的形式储存。然而,由于对内部传热和传质过程的理解有限,天然气水合物的商业开发仍面临相当大的挑战。本研究建立了一个数值模型来描述甲烷水合物分解过程中的热量和质量传递,并为神经网络建模提供充足的数据。基于该数值模型,阐明了包括多相饱和度、温度、气体压力和气体速度在内的若干分解特征的时空演变规律。更重要的是,全面研究了与各种边界条件、物理性质和初始条件相关的 19 种变量的影响。这些变量与四个关键传热和传质参数之间的综合关联图显示出 41 种正关联和 35 种负关联。在大量模拟数据的驱动下,建立了一个人工神经网络模型来预测传热和传质参数。经过验证,神经网络模型显示出令人满意的效率和准确性,在预测各种传热和传质参数时,相对误差低于 2%。这项研究为理解、调节和优化天然气水合物开采提供了全面的理论指导和有用的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comprehensive correlation analysis enabled neural network prediction of heat and mass transfer during gas hydrate decomposition

Comprehensive correlation analysis enabled neural network prediction of heat and mass transfer during gas hydrate decomposition
A significant amount of natural gas is stored in a form of hydrate. Yet commercial exploitation of natural gas hydrate remains quite challenging due to limited comprehension of internal heat and mass transfer processes. In this work, a numerical model is developed to describe heat and mass transfer during methane hydrate decomposition and to provide sufficient data for neural network modeling. Based on the numerical model, the temporal and spatial evolution patterns of several decomposition characteristics, including multiphase saturation, temperature, gas pressure, and gas velocity, are elucidated. More importantly, the effects of 19 types of variables related to various boundary conditions, physical properties, and initial conditions are comprehensively investigated. A comprehensive correlation map between these variables and four key heat and mass transfer parameters reveals 41 positive and 35 negative correlations. Driven by abundant simulation data, an artificial neural network model is then developed to predict the heat and mass transfer parameters. As validated, the neural network model shows satisfactory efficiency and accuracy, achieving relative errors below 2% in the prediction of various heat and mass transfer parameters. This study provides a comprehensive theoretical guide and a useful method for understanding, regulating, and optimizing the natural gas hydrate exploitation.
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来源期刊
Fuel
Fuel 工程技术-工程:化工
CiteScore
12.80
自引率
20.30%
发文量
3506
审稿时长
64 days
期刊介绍: The exploration of energy sources remains a critical matter of study. For the past nine decades, fuel has consistently held the forefront in primary research efforts within the field of energy science. This area of investigation encompasses a wide range of subjects, with a particular emphasis on emerging concerns like environmental factors and pollution.
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