abstract background: the pressure of consumption spots in eater supply systems is one of the most important hydraulic parameters can be used in optimized management of water distribution networks. since the pressure has some different effects on various parameters of the network management including its hydraulic functions, reliability, stability and leakage, its control is of great importance ...

The mathematical modeling of fracture networks is critical for the exploration and development of natural resources. Fractures can help the production of petroleum, water, and geothermal energy. They also greatly influence the drainage and production of methane gas from coal beds. Orientation and spatial distribution of fractures in rocks are important factors in controlling fluid flow. The obj...

The flow of natural gas within a gas transmission network is studied with the aim to predict gas loads for very low temperatures. Two models for describing dependence between the maximal daily gas flow and the temperature on network exits are presented. A Brain-Cousens regression model is chosen from the class of parametric models. As an alternative, a semi-parametric logistic regression based ...

In this paper, the combined natural gas and electric optimal power flow (GEOPF) is presented. It shows fundamental modeling of the natural gas network to be used for the GEOPF, and describes the equality constraints which describe the energy transformation between gas and electric networks at combined nodes (i.e., generators). We also present the formulation of the natural gas loadflow problem,...

The technical equipment developed and used in both installation and operation processes in refineries, oil and gas pipelines, and gas booster stations has always been expensive. Hence, managers at different organizational levels are keen to find methods to control and reduce these costs. Generally speaking, the operators in a gas booster station choose the operating devices without considering ...

Natural gas (NG) is one of the widely used domestic fuels in most of the countries, and because of economical and environmental advantages, its consumption is continuously increasing. As a result, complex piping systems are being installed to transport and distribute the gas for end users. Pipelines carrying NG are a significant source of hazard for their adjacent society. The risk of this haza...

Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of revealing how the prediction of each data record is performed. This drawback limits their ability to provide detailed insights concerning the workings of the underlying system, or to relate predictions to specific ...