Prediction of viscosity of natural gas is an important parameter in the energy industries such as natural gas storage and transportation. In this study viscosity of different compositions of natural gas is modeled by using an artificial neural network (ANN) based on back-propagation method. A reliable database including more than 3841 experimental data of viscosity for testing and training of A...

A CGS is of the most important parts in natural gas transmission pipelines in which the high inlet natural gas (NG) pressure is reduced to much lower value by employing a throttling valve. This pressure drop causes hydrate forming, preventing stable NG flow through the pipeline. To prevent hydrate forming, NG is usually preheated by heaters which burns remarkable amount of NG. In this work, a n...

The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...

My dissertation concentrates on several aspects of supply chain management and economic valuation of real options in the natural gas and liquefied natural gas (LNG) industry, including gas pipeline transportation, ocean LNG shipping logistics, and downstream storage. Chapter 1 briefly introduces the natural gas and LNG industries, and the topics studied in this thesis. Chapter 2 studies how to ...

With the rapid development of natural gas pipeline, the safety of natural gas pipeline is paid more and more attention to. This paper presents a new safety assessment model based on fault tree and fuzzy neural network. Firstly, in the light of fault tree theory, fault tree analytical figure is established for buried natural gas pipeline system and the index system is established about buried na...