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

S.Abdolkhalegh masoumi¹ Professor Ahmad Ramazani S.A²

1) Department of Petroleum Engineering, Central Tehran Master, Sharif University of Technology, Tehran, Iran, Abdolkhalegh1989@ gmail.com
2) Department of Chemical and Petroleum Engineering , Sharif University of Technology, Tehran, Iran,

Publication : 2nd International Conference on New Horizons in the Engineering Science 9th August 2018 / Istanbul Turkey / Yildiz Technical University(eng2018.ir)
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.
Keywords : optimization artificial networks reservoirs acidizing