COI code: ENGCONF02_059
Paper Language: English
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Authors Optimization and simulation of the acid injection in the gas tank by NNS. Abdolkhalegh Masoumi - Department of Petroleum Engineering, Central Tehran Master, Sharif University of Technology, Tehran, Iran,
Ahmad Ramazani S.A. - Department of Chemical and Petroleum Engineering , Sharif University of Technology, Tehran, Iran
Abstract:During each stage of production, completion and stimulation of oil and gas wells may be damaged formation and thus reduce productivity. Acidizing is one of the methods to increase production and productivity index wells. Due to the lack of specific equations to predict the rate of increase in productivity index, neural network can be a good way to predict acid process. After reviewing the data Nar and Kangan gas wells, acidizing by the neural network simulation data are and the function of various parameters examined neural network.
Keywords:optimization, artificial network, gas tanks, acidizing
COI code: ENGCONF02_059
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Masoumi, S. Abdolkhalegh & Ahmad Ramazani S.A., 2018, Optimization and simulation of the acid injection in the gas tank by NN, International Conference on New Horizons in Engineering Sciences, استانبول- كشور تركيه, دبيرخانه دائمي كنفرانس, https://www.civilica.com/Paper-ENGCONF02-ENGCONF02_059.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Masoumi, S. Abdolkhalegh & Ahmad Ramazani S.A., 2018)
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Type: state university
Paper No.: 12290
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