Method of operational diagnostic state of flow and calculation of calibration Coefficients using artificial neural networks
An important task of operational management in oil and gas production is the control of fluid flow and technological objects of engineering network (EN).
This paper proposed a method for diagnosis of fluid flow measurement and calibration operations. The method is based on the relationship between various parameters of the flow of Engineering Network.
To calculate the actual flow rate on other parameters of the flow, such as pressure, temperature, and the parameters that determine the composition of the liquid (oil), it is proposed to use a neural network.
Keywords: Engineering Network (EN), Neural Network (NN)
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ABOUT THE AUTHOR
Safarini Osama
Dr. Osama Ahmad Salim Safarini had finished his PhD. from The Russian State University of Oil and Gaz Named after J. M. Gudkin, Moscow, 2000, at a Computerized-Control Systems Department. He obtained his BSC and MSC in Engineering and Computing Science from Odessa Polytechnic National State University in Ukraine 1996. He worked in different universities and countries . His research is concentrated on Automation, Simulation and Control in different branches.
Safarini Osama
Dr. Osama Ahmad Salim Safarini had finished his PhD. from The Russian State University of Oil and Gaz Named after J. M. Gudkin, Moscow, 2000, at a Computerized-Control Systems Department. He obtained his BSC and MSC in Engineering and Computing Science from Odessa Polytechnic National State University in Ukraine 1996. He worked in different universities and countries . His research is concentrated on Automation, Simulation and Control in different branches.