A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks
Z Yang, Z Liu, J Zhou, C Song, Q Xiang, Q He, J Hu… - Energy, 2023 - Elsevier
Calorific value metering offers unique advantages in the natural gas industry. Based on a
graph neural network (GNN), this study proposes a method for metering the gas calorific …
graph neural network (GNN), this study proposes a method for metering the gas calorific …
Investigation of heating energy performance gap (EPG) in design and operation stages of residential buildings
Abstract The Energy Performance Gap (EPG) in buildings is a recognized phenomenon.
However, its definition and underlying factors are extensive, necessitating a thorough …
However, its definition and underlying factors are extensive, necessitating a thorough …
Natural Gas Pipeline Leak Detection Based on Dual Feature Drift in Acoustic Signals
Detecting leaks in natural gas pipelines using acoustic signals typically requires extensive
prior knowledge and complex parameter designs, making it challenging to handle …
prior knowledge and complex parameter designs, making it challenging to handle …
[HTML][HTML] Analysis of sensitivity to hydrate blockage risk in natural gas gathering pipeline
AY Zhang, M Cai, N Wei, HT Li, C Zhang, J Pei… - Petroleum Science, 2024 - Elsevier
During the operational process of natural gas gathering and transmission pipelines, the
formation of hydrates is highly probable, leading to uncontrolled movement and aggregation …
formation of hydrates is highly probable, leading to uncontrolled movement and aggregation …
Precision and uncertainty in natural gas calorific value estimation: advanced combinatorial predictive models for complex pipeline systems
J Zhou, W Fu, G Liang, D Zhang… - … Science and Technology, 2024 - iopscience.iop.org
In recent years, natural gas pipelines have been characterized by multiple intake points, the
mixing of different gas sources, and significant variations in gas quality. The existing …
mixing of different gas sources, and significant variations in gas quality. The existing …
Mechanistic and Data-Driven Modelling of Operational Parameters Prediction on Oil and Gas Transportation Pipeline Network
F Gong, C Du, X Ji, Z Zhang… - … Conference on New …, 2023 - ieeexplore.ieee.org
Collection and transportation pipeline network of Crude oil is one of the critical
infrastructures in a largescale oilfield. Fewer sensors are installed in the pipeline network …
infrastructures in a largescale oilfield. Fewer sensors are installed in the pipeline network …
[PDF][PDF] Обґрунтовування методології визначення теплоти згоряння природного газу
ІВ Коробко, АС Місяць - 2023 - ela.kpi.ua
Враховуючи стрімкий розвиток штучного інтелекту та поступову цифровізацію
промисловості, на сьогодні, актуальним є впровадження глибокого навчання у …
промисловості, на сьогодні, актуальним є впровадження глибокого навчання у …