JuniperPublishers-Recent Advances in Petrochemical Science

Juniper Publishers Abstract Gas lift for oil-gas extraction is a common practice; however, obtaining maximum productivity of a series of set is not a simple tax because high amount of gas lift makes the optimization of few wells at the same time a very hard task. Therefore, data processing approaches based on calculations and computerized modeling has been receiving attention. By modeling well, it could be possible to obtain higher production rate versus less gas consumption. The present paper is a new approach that uses neural functions and genetic algorithm and studies the different aspects of problem solving for gas allocation optimization in five wells. The results showed that artificial neural networks have very good function in modeling gas lift process and creating gas lift performance curve versus classic methods. The differences between the results obtained by artificial neural network in comparison with results that are obtained in classic methods prove t...

Juniper Publishers Abstract X-ray diffraction method has been used by many researchers in order to study the structure of films. In this work, amorphous structure or polycrystalline magnesium oxide thin films could be identified using this technique. Furthermore, the grain sizes could be measured using X-ray diffraction data as well. Keywords: Magnesium oxide, Thin films, Semiconductor, Deposition, Grain size Introduction Oxide materials [1-12] and metal chalcogenide thin films [13-21] are widely employed in the producing of solar cells, sensor devices, laser devices, optoelectronics devices, integrated circuits, and microelectronics. There are many groups of scientists from different countries involved to study these materials [22-29]. In this work, magnesium oxide (MgO) films were prepared using various deposition techniques. Magnesium oxide was chosen due to it has a high melting temperature, stable a...