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

عنوان مقاله: Optimization and simulation of the injection amount of acid in the oil reservoir by artificial network
شناسه ملی مقاله: ENGCONF02_061
منتشر شده در دومین کنفرانس بین المللی افق های نو در علوم مهندسی در سال 1397
مشخصات نویسندگان مقاله:

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

خلاصه مقاله:
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.

کلمات کلیدی:
optimization, artificial networks, reservoirs, acidizing

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/875721/