scholarly journals Research on Critical Effusion Volume for the China-Burma Natural Gas Pipeline

2016 ◽  
Vol 10 (1) ◽  
pp. 461-468
Author(s):  
Xiyao Liu ◽  
Changjun Li ◽  
Yang Peng ◽  
Yanjie Jia ◽  
Chunqing Li
Keyword(s):  
Natural Gas ◽  
Prediction Model ◽  
Gas Pipeline ◽  
Analysis Software ◽  
Liquid Holdup ◽  
Natural Gas Pipeline ◽  
Gas Condensates ◽  
Temperature And Pressure ◽  
Gas Supply

Under certain temperature and pressure conditions, natural gas condensates and the liquid is accumulated in the pipeline during transmission of gas. It is therefore important to calculate the critical effusion volume accurately so that a reasonable pigging cycle can be determined. Frequent pigging operation not only affects the normal gas supply, but also causes unpiggable obstacles. This study has developed a liquid prediction model in which the effusion volume is dependent on the liquid holdup and the capacity of the gas to carry liquid. Using the analysis software OLGA and applying the model to the China-Burma pipeline, the critical effusion volume and the parameters distribution curves along the pipeline have been determined. The results show that the critical effusion volume in the pipeline decreases with increasing throughput. The method is a significant advancement in determining the pigging cycle and mitigating the pigging risk.

Using Machine Learning Tools for Forecasting Natural Gas Market Demand

2020 ◽  
Author(s):  
Kai Yang ◽  
Lei Hou
Keyword(s):  
Natural Gas ◽  
Prediction Model ◽  
Evaluation Method ◽  
Gas Pipeline ◽  
Prediction Methods ◽  
Error Evaluation ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Gas Consumption ◽  
Gas Supply

Abstract Providing reliable and accurate forecasts of natural gas consumption can keep supply and demand of natural gas pipelines in balance, which can increase profits and reduce supply risks. In order to accurately predict the short-term load demand of different gas nodes in the natural gas pipeline network, a hybrid optimization strategy of integrated genetic optimization algorithm and support vector machine are proposed. Factors such as holidays, date types and weather were taken into account to build a natural gas daily load prediction model based on GA-SVM was established. A natural gas pipeline network in China includes three gas supply nodes of different user type gas is forecasted, and a variety of error evaluation method, the GA-SVM evaluation index compared with other prediction methods, and through different data set partition is discussed in the periods of peak gas and gas resources in the GA — the applicability of the SVM prediction model, the ends of a natural gas pipeline network in China includes four gas supply nodes of different user type gas is forecasted, and a variety of error evaluation method, the GA-SVM evaluation index compared with other prediction methods, The applicability of the method is also discussed by dividing different data sets. By predicting the gas load forecast of the three nodes, the results show that GA-SVM hybrid prediction model has high prediction accuracy compared with other single models, and the three gas nodes MAPE of GA-SVM is respectively 3.66%, 5.17% and 3.43%. Through further analysis, even with the data samples reduced, the winter gas peak of gas prediction can still maintain good prediction effects. The research shows that the GA-SVM model has high accuracy and strong applicability in predicting gas consumption at different nodes of the natural gas pipeline network. This study can provide a research basis for analysis of gas supply uncertainty and further gas supply reliability evaluation of pipeline network.

scholarly journals Electromagnetic-Based Wireless Sensor Networks for Natural Gas Pipeline and Reservoir Monitoring

2021 ◽  
Author(s):  
Mustafa Alper Akkaş
Keyword(s):  
Natural Gas ◽  
Communication Networks ◽  
Electromagnetic Waves ◽  
Recovery Process ◽  
Gas Pipeline ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Electromagnetic Modeling ◽  
Natural Gas Pipeline ◽  
Temperature And Pressure

Abstract In this paper, we electromagnetically analyzed the wireless sensor nodes for natural gas transport system from the recovery process to our apartments. In light of the problems of poor localization accuracy, low recognition efficiency and high false rates in traditional pipeline security and detection technology, this paper suggests a type of new electromagnetic modeling for the natural gas pipeline and tank system. This paper describes the effect of natural gas at different temperature and pressure levels on the propagation characteristics of electromagnetic waves at Terahertz Band frequencies. Based on the calculated absorption and path losses, the channel capacity and SNR are studied to give an insight of future Terahertz communication networks. Results show that characteristics of electromagnetic waves propagation affected by both the temperature and pressure. As a result, in the paper we come to the conclusion that frequency bands for optimum performance should be determined by reviewing the absorption coefficient.

Gas Supply Reliability Analysis of a Natural Gas Pipeline System Considering the Effects of Demand Side Management

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Yichen Li ◽  
Jing Gong ◽  
Weichao Yu ◽  
Weihe Huang ◽  
Kai Wen
Keyword(s):  
Natural Gas ◽  
Demand Side Management ◽  
Gas Pipeline ◽  
Classification Rule ◽  
Pipeline System ◽  
Demand Side ◽  
User Classification ◽  
Natural Gas Pipeline ◽  
Gas Supply ◽  
Supply Reliability

Abstract At present, China has a developing natural gas market, and ensuring the security of gas supply is an issue of high concern. Gas supply reliability, the natural gas pipeline system's ability to satisfy the market demand, is determined by both supply side and demand side and is usually adopted by the researches to measure the security of gas supply. In the previous study, the demand side is usually simplified by using load duration curve (LDC) to describe the demand, which neglects the effect of demand side management. The simplification leads to the inaccurate and unreasonable assessment of the gas supply reliability, especially in high-demand situation. To overcome this deficiency and achieve a more reasonable result of gas supply reliability, this paper extends the previous study on demand side by proposing a novel method of management on natural gas demand side, and the effects of demand side management on gas supply reliability is analyzed. The management includes natural gas prediction models for different types of users, the user classification rule, and the demand adjustment model based on user classification. First, an autoregressive integrated moving average (ARIMA) model and a support vector machine (SVM) model are applied to predict the natural gas demand for different types of users, such as urban gas distributor (including residential customer, commercial customer, small industrial customer), power plant, large industrial customer, and compressed natural gas (CNG) station. Then, the user classification rule is built based on users' attribute and impact of supplied gas's interruption or reduction. Natural gas users are classified into four levels. (1) demand fully satisfied, (2) demand slightly reduced, (3) demand reduced, and (4) demand interrupted. The user classification rule also provides the demand reduction range of different users. Moreover, the optimization model of demand adjustment is built, and the objective of the model is to maximize the amount of gas supplied to each user based on the classification rule. The constraints of the model are determined by the classification rule, including the demand reduction range of different users. Finally, the improved method of gas supply reliability assessment is developed and is applied to the case study of our previous study derived from a realistic natural gas pipeline system operated by PetroChina to analyze the effects of demand side management on natural gas pipeline system's gas supply reliability.

Gas supply reliability analysis of a natural gas pipeline system considering the effects of underground gas storages

2019 ◽  
Vol 252 ◽  
pp. 113418 ◽  
Author(s):  
Weichao Yu ◽  
Jing Gong ◽  
Shangfei Song ◽  
Weihe Huang ◽  
Yichen Li ◽  
...  
Keyword(s):  
Natural Gas ◽  
Reliability Analysis ◽  
Gas Pipeline ◽  
Pipeline System ◽  
Natural Gas Pipeline ◽  
Gas Supply ◽  
Supply Reliability

Study on the Pigging Process of Rich Gas Pipeline

2014 ◽  
Vol 884-885 ◽  
pp. 242-246
Author(s):  
Wei Qiang Wang ◽  
Kai Feng Fan ◽  
Yu Fei Wan ◽  
Ming Wu ◽  
Le Yang
Keyword(s):  
Natural Gas ◽  
Flow Pattern ◽  
Fluid Model ◽  
Simulation Software ◽  
Gas Pipeline ◽  
Liquid Holdup ◽  
Two Phase ◽  
Natural Gas Pipeline ◽  
Fluid Transient ◽  
Safety Operation

Intensive study on flowing properties of two-phase fluid of gas and liquid during pipeline pigging helps to improve the safety operation of rich gas pipeline. Therefore, based on the multiphase fluid transient simulation software, a two-fluid model is employed to study the flowing regulation of gas and liquid in practical operation of natural gas pipeline pigging,especially the change rule of velocity,flow pattern, pressure, liquid holdup ratio, and liquid slug in the passing ball process. The results reveal that three flow patterns appeared in pipeline pigging. They are stratified flow, slug flow and bubble flow. The place where the particular flow pattern appears is related to the terrain. The biggest pressure is found at the entrance, then pressure comes down along the pipeline, and fluctuate according to the fluid amount and terrain; the transient velocity of pig is coherent with the terrain and liquid holdup ratio; small slug flows are easy to gather and form into a longer one. The research can somehow guide to the safety operation of natural gas pipeline pigging.

A Systematic Methodology to Assess Hydraulic Reliability and Gas Supply Reliability of the Natural Gas Pipeline Network

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Weichao Yu ◽  
Jing Gong ◽  
Weihe Huang ◽  
Hongfei Liu ◽  
Fuhua Dang ◽  
...  
Keyword(s):  
Natural Gas ◽  
Indicator System ◽  
Gas Pipeline ◽  
Hydraulic Characteristic ◽  
Market Demand ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Gas Supply ◽  
Hydraulic Reliability ◽  
Supply Reliability

Abstract Reliability of the natural gas pipeline network is related to security of gas supply directly. According to the different required functions of the natural gas pipeline network, its reliability is divided into three aspects, namely mechanical reliability, hydraulic reliability, and gas supply reliability. However, most of the previous studies confused the definitions of the hydraulic reliability and gas supply reliability. Moreover, the uncertainty in the process of supplying natural gas to the targeted market and the hydraulic characteristic of the natural gas pipeline network are often ignored. Therefore, a methodology to assess hydraulic reliability and gas supply reliability of the natural gas pipeline network is developed in the study, and the uncertainty and hydraulic characteristic of the natural gas pipeline network are both considered. The methodology consists of four parts: establishment of the indicator system, calculation of the gas supply, prediction of the market demand, and assessment of the hydraulic reliability and gas supply reliability. Moreover, a case study is applied to confirm the feasibility of the methodology, and the reliability evaluation results provide a comprehensive picture about the abilities of the natural gas pipeline network to perform the specified gas supply function and satisfy consumers' demand, respectively. Furthermore, a comparison between these two types of reliability is presented. The results indicate that the natural gas pipeline network may not be able to meet the market demand even if the system completes the required gas supply tasks due to the impact of the market demand uncertainty.

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