Prediction of Permeability Decline duo to the Formation of Barium Sulfate Scale Using Artificial Neural Network

Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
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IOGPC17_087

تاریخ نمایه سازی: 3 آبان 1389

Abstract:

water injection is usually associated with various types of scale formation and deposition which significantly reduce injection performance by changing some reseervoir properties such as permeability and porosity , among various types of mineral scales, barium sulfate is one of major scales in petroleum industry shich can cause severe flow reduction and formation damage issues.this phenomena is influenced by many parameters such as temperature pressure and brine concentrations . interpretations and prediction of permeability decline in such complicated system is a major and not easy problem. artificial neural network are new tools which assist in solving such problems. in this study , a new approach based on artificial neural networks ANNs has been developed to predict permeability decline in reservoir. .

Authors

reza zabihi

department of petroleum eng

mahin schaffie

department of petroleum eng

hamidreza khatami

department of petroleum eng

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