Improving the diagnostics of underground pipelines at oil­and­gas enterprises based on determining hydrogen exponent (PH) of the soil media applying neural networks

Eastern-European Journal of Enterprise Technologies

Volodymyr Yuzevych¹  Vitalii Lozovan¹  Ruslan Skrynkovskyy²  Larysa Yuzevych³  Ihor Ogirko⁴  Mykhailo Yasinskyi⁴  Grzegorz Pawlowski⁵ 

[1] Karpenko Physico-mechanical Institute of the NAS of UkraineNaukova str., 5, Lviv, Ukraine, 79060;Lviv University of Business and LawKulparkivska str., 99, Lviv, Ukraine, 79021;Lviv University of Business and LawKulparkіvska str., 99, Lviv, Ukraine, 79021;Ukrainian Academy of PrintingPid Holoskom str., 19, Lviv, Ukraine, 79020;Zaklad Handlowo-Uslugowy BHPKostrzynska str., 17, Gorzyca, Poland, 69-113;

关键词: underground pipelines;    oil-and-gas enterprises;    corrosion currents;    polarization potential;    hydrogen exponent;    neural network;   

DOI  :  10.15587/1729-4061.2019.174488

来源: DOAJ

【 授权许可】

Unknown