The identification process of gas flavor is conducted by using the output of gas sensor system to recognize a variety of gas flavor. The identification and analysis process of this system is processed by using an artificial neural network approaches those are back propagation and Kohonen method. According of the experiment’s result, the best parameter for back propagation network is the momentu...

one of the most important methods of transporting natural gas in iran and other parts of the world is the utilization of a network of pipelines. compression station and turbo compressor units play an important role in gas supply through pipelines. one of the primary concerns in these units is the reduction of fuel consumption. by cooling of exhaust gas from the source station, the pressure drop...

Recently, significant reserves of natural gas have been identified in Mozambique and Tanzania. These resources may support a pathway to both economic growth and a low-carbon future. This natural gas could be used locally for a host of different applications such as cooking, power generation, transportation and fertilizer production. The aim of this paper is to investigate how the potential futu...

The influence of the global average signal (GAS) on functional-magnetic resonance imaging (fMRI)-based resting-state functional connectivity is a matter of ongoing debate. The global average fluctuations increase the correlation between functional systems beyond the correlation that reflects their specific functional connectivity. Hence, removal of the GAS is a common practice for facilitating ...

Underbalanced drilling as multiphase flow is done in oil drilling operation in low pressure reservoir or highly depleted mature reservoir. Correct determination of the pressure loss of three phase fluids in drilling annulus is essential in determination of hydraulic horsepower requirements during drilling operations. In this paper the pressure loss of solid-gas-liquid three-phase fluids flow in...

In this work, response surface methodology (RSM) and artificial neural network (ANN) were used to predict the decolorization efficiency of Reactive Red 33 (RR 33) by applying the O3/UV process in a bubble column reactor. The effects of four independent variables including time (20-60 min), superficial gas velocity (0.06-0.18 cm/s), initial concentration of dye (50-150 ppm), and pH (3-11) were i...

many large oil and gas fields in the most productive world regions happen to be fractured. the exploration and development of these reservoirs is a true challenge for many operators. these difficulties are due to uncertainties in geological fracture properties such as aperture, length, connectivity and intensity distribution. to successfully address these challenges, it is paramount to improve ...

The paper describes a new method for numerical monitoring of discrepancies in natural gas supply to consumers, who receive gas from gas distribution loops. This method serves to resolve the vital problem of commercial natural gas accounting under the conditions of deficient field measurements of gas supply volumes. Numerical monitoring makes it possible to obtain computational estimates of actu...

Using the sensor technology as the core, combining with the A/D technology, pattern recognition technology and other technologies, we have designed a new type of gas detection system. Gases are detected through BP neural network algorithm. The design of the system, the establishment of BP neural network and the improvement of its algorithm are given. The fusion technology of multi-sensor is exp...