Neural gas network is a single-layered soft competitive neural network, which can be applied to clustering analysis with fast convergent speed comparing to Self-organizing Map (SOM), K-means etc. Combining neural gas with principal component analysis, this paper proposes a new clustering method, namely principal components analysis neural gas (PCA-NG), and the online learning algorithm is also ...

This paper presents a "direct" method to gas-oil interface level determination using an artificial neural network approach based on Electrical Capacitance Tomography (ECT) measurements. "Direct" here means that the gas-oil interface levels are obtained directly from the ECT measurements without recourse to image reconstruction. The preliminary work models a separation tank that i~ filled with g...

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 ...

This paper proposes a method based on genetic algorithm (GA) for the security-constrained 11 optimal dispatch of integrated natural gas and electricity networks, considering operating scenarios 12 in both energy systems. The mathematical formulation of the optimization problem consists of a 13 multi-objective function which aims to minimize both cost of thermal generation (diesel and natural 14...

The article describes the research of coal and gas outburst prediction technology and the new problems they face in the modern mining. It also describes the superiority of neural network technology in dealing with complex geological conditions. It refers to the possibility and necessity of combination of the coal and gas outburst prediction and artificial neural networks, and other hightechnolo...

A new approach to intelligent gas sensor (IGS) design using a classifier based on adaptive resonance theory (ART) artificial neural network (ANN) is presented. Using published data of sensor arrays fabricated and characterised at our laboratory, we demonstrate excellent gas/odour identification performance of our classifier for a 4-gas, 4-sensor system to identify individual gas/odour. Since th...

one of the biggest problems of using data envelopment analysis for the evaluation of performance is the weakness of the separability for the decision maker units. this problem is generalizable because of the lower quantity of units in comparison with the ¬input and output quantities of the model [1]. this matter considerably reveals itself in the evaluation process of 23 provincial gas companie...

Growing global demand for energy, result in depletion of easily access source of fossil fuels. To fulfillment of this huge demand, oil and gas industry expanded to develop offshore oil and gas reservoirs in recent years, which made environmental management challenging. IRAN owns one of the biggest offshore gas reservoir in PERSIAN GULF with high geopolitical and financial importance. Along the ...