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

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

“…Experimental studies were carried out and the degree of protection P of specimens of 17G1S steel in various media was assessed on their basis. This study was conducted at a condition that the protective potential on the UMP surface is j p =-0.83 V, that is, 20 mV less than the limit potential j p* =-0.85 V [11]. Consequently, electrochemical corrosion on the surface of the specimens will be adequate because condition for protection is |j P* |>0.85 V.…”

“…In this context, it has been established that the method of contactless measurement of currents and potentials is currently used for pipeline probing [8]. This makes it possible to promptly control corrosion protection of UMP and find locations of corrosion defects [11,12].…”

Improvement of the toolset for diagnosing underground pipelines of oil and gas enterprises considering changes in internal working pressure

“…Currently, diagnosing the metal of pipes (UMP) at oil and gas enterprises implies the use of a method of contactless measurements of currents and potentials [9]. This makes it possible to control the character and conditions of defect behavior [10,11].…”

“…It should be noted that the above techniques make it possible to comprehensively specify the procedure for calculating the mechanical parameters of a pipe with defects and, consequently, to improve the qualimetric approach to the quality issue related to UMP at oil and gas enterprises, which is partially presented in publications from Canada [23,24]. In addition, the quality criterion for UMP is partially represented in papers [9,10]. However, the cited studies [9,10,23,24] do not consider the effect exerted on the quality of UMP by mechanical stresses and parameters that characterize defects.…”

“…In addition, the quality criterion for UMP is partially represented in papers [9,10]. However, the cited studies [9,10,23,24] do not consider the effect exerted on the quality of UMP by mechanical stresses and parameters that characterize defects. Positive in this aspect is the fact that papers [9,10] report initial data and informational support, as well as a toolset, for improving the criteria of quality and investment projects at enterprises [25,26].…”