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Title

Optimization and simulation of the injection amount of acid in the oil reservoir by artificial network

Year: 1397
COI: ENGCONF02_061
Language: EnglishView: 244
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Authors

S. 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:

The main role of the acidizing process is formation damage removal from the area near the well. In the process of understanding the status of the selected wells for motivation, the best way to do so designed and placed that achieved the greatest increase acidizing production forecast after implementation of the action acidizing. The neural network can be defined as a system for processing information. The neural network can be defined as a system for processing information that has performance characteristics similar to biological neural networks. These networks can be used as a sophisticated regression models to examine and expand business operations acidizing. In this paper, after analyzing data from more than 30 layers acidizing oil, the simulation is performed by a neural network on the events. The modeling was done on the basis of two output bottom hole pressure and flow generated from operations after acidizing as the benchmark for network performance and business operations acidizing.

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Paper COI Code

This Paper COI Code is ENGCONF02_061. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/875721/

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Masoumi, S. Abdolkhalegh and Ramazani S.A., Ahmad,1397,Optimization and simulation of the injection amount of acid in the oil reservoir by artificial network,International Conference on New Horizons in Engineering Sciences,https://civilica.com/doc/875721

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Type of center: دانشگاه دولتی
Paper count: 15,083
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