Simulation of Microbial Enhanced Oil Recovery by Using of Neural Networks
Publish place: 07th International Congress on Chemical Engineering
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICHEC07_598
تاریخ نمایه سازی: 25 فروردین 1394
Abstract:
In this article, we are going to simulate the reservoir by using two layer perceptron. Indeed a MODEL was developed to simulate the increase in oil recovery caused by bacteria injection into an oil reservoir. This model was affected by reservoir temperature and amount of water injected into thereservoir for enhancing oil recovery. Comparing experimental and simulation results and also the erratic trend of data show that the neural networks have modeled this system properly. Consideringthe effects of non-linear factors and their erratic and unknown impacts on recovered oil, theperceptron neural network can develop a proper model for oil recovery factor in various conditions. The neural networks have not been applied in modeling of microbial enhanced oil recovery sincenow. Finally, we are going to design a controller for the neural network. This controller is designed for the case where output of the network is oil recovery factor. For this purpose, the network is designed as a one layer network in which just one output matches each time. In this case, a one layer network will have acceptable results.
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Authors
Mohammad Torkaman
Department of Chemical and Petroleum Engineering, Sharif University of technology tehran iran
Saeid Morshedi
Department of Chemical and Petroleum Engineering, Sharif University of technology tehran iran
Mohsen Masihi
Department of Chemical and Petroleum Engineering, Sharif University of technology tehran iran
Mohammad Hosein Ghazanfari
Department of Chemical and Petroleum Engineering, Sharif University of technology tehran iran
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