Forming the toolset for development of a system to control quality of operation of underground pipelines by oil and gas enterprises with the use of neural networks

Author:

Lozovan VitaliiORCID,Skrynkovskyy RuslanORCID,Yuzevych VolodymyrORCID,Yasinskyi MykhailoORCID,Pawlowski GrzegorzORCID

Publisher

Private Company Technology Center

Subject

Applied Mathematics,Electrical and Electronic Engineering,Management of Technology and Innovation,Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference28 articles.

1. Detection of specific features in the functioning of a system for the anti-corrosion protection of underground pipelines at oil and gas enterprises using neural networks;Lozovan;EEJET,2019-01-23

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3. An Electrochemical Measurement for Evaluating the Cathodic Disbondment of Buried Pipeline Coatings under Cathodic Protection;Farzaneh;Iranian Journal of Chemistry and Chemical Engineering,2015

4. An Experimental Investigation of Impressed Current Cathodic Protection system (ICCP) In Basra Soil;Merzah;International Journal of Scientific & Engineering Research,2017

5. An artificial neural network modeling for pipeline corrosion growth prediction;Din;ARPN Journal of Engineering and Applied Sciences,2015

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