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Title

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

Year: 1389
COI: IOGPC17_087
Language: EnglishView: 1,300
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Authors

reza zabihi - department of petroleum eng
mahin schaffie - department of petroleum eng
hamidreza khatami - department of petroleum eng
mohammad ranjbar

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. .

Keywords:

permeability decline, artificial neural network , barium sulfate scale, water injection.

Paper COI Code

This Paper COI Code is IOGPC17_087. 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/103280/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
zabihi, reza and schaffie, mahin and khatami, hamidreza and ranjbar, mohammad,1389,Prediction of Permeability Decline duo to the Formation of Barium Sulfate Scale Using Artificial Neural Network,14th International Oil, Gas and Petrochemical Congress,Tehran,,,https://civilica.com/doc/103280

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