Optimization and simulation of the acid injection in the gas tank by NN

Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ENGCONF02_059

تاریخ نمایه سازی: 1 تیر 1398

Abstract:

During each stage of production, completion and stimulation of oil and gas wells may be damaged formation and thus reduce productivity. Acidizing is one of the methods to increase production and productivity index wells. Due to the lack of specific equations to predict the rate of increase in productivity index, neural network can be a good way to predict acid process. After reviewing the data Nar and Kangan gas wells, acidizing by the neural network simulation data are and the function of various parameters examined neural network.

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