Assessment of the Condition of Pipelines Using Convolutional Neural Networks

Vankov, Yuri; Rumyantsev, A. A.; Ziganshin, Sh G.; Politova, T. O.; Minyazev, R. Sh.; Zagretdinov, A. R.

doi:10.3390/en13030618

Cited by 25 publications

(7 citation statements)

References 20 publications

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“…As already mentioned, the area of disturbed lands is insignificant compared to the industry as a whole, and the problem of pollution is most pronounced during transportation from the place of extraction and processing to the consumer. It is associated with oil spills and oil products [55][56][57][58][59][60]. Despite the minimum size of the area, if the soil or water bodies are polluted, this leads to the death of animals, the removal of agricultural land from circulation for a long time and other negative consequences.…”

Section: Resultsmentioning

confidence: 99%

Environmental foundations of oil and gas production in the Russian Federation

Zhichkina

Zhichkin²,

Sharipov³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The production of fossil fuels is associated with a significant burden on the environment. However, comparing the production of oil and gas with the extraction of other types of minerals, it can be seen that with significantly larger production volumes, the environmental impact is lower here. The purpose of the research is to study the impact of oil and gas production in Russia on the environment in comparison with the industry average situation. To do this, the following tasks are expected to be performed: - identifying the dynamics of the production of fuel resources in Russia in 2017-2020; - determination of indicators of environmental pollution and their comparison with industry averages; - calculation of current costs and investments in fixed assets for environmental protection. In this, first of all, a significant role is played by the features of the mining object, the technologies used and the need to maintain the status of an environmentally friendly industry due to the high share of exports. The main source of pollution is air emissions (hydrocarbons (including volatile organic compounds) - 44.6%, carbon monoxide - 36.3%, solids, sulfur dioxide, nitrogen oxides). Awareness of this problem is also manifested in the structure of investments in environmental protection. Their share in the protection of atmospheric air does not fall below 59% of the total amount of environmental investments.

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Section: Resultsmentioning

confidence: 99%

Environmental foundations of oil and gas production in the Russian Federation

Zhichkina

Zhichkin²,

Sharipov³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…At present, despite the opposition of the United States and the sanctions policy of the European Union, aimed at reducing, and in the future, abandoning Russian gas, consumption is increasing in the short term [52][53][54][55][56]. The absence of the possibility of a sharp increase in gas production in the world, the lack of transportation routes (gas pipelines) in the regions of maximum consumption allows us to speak about the preservation of gas production in Russia at the same level [57][58][59][60]. Even a small increase in volumes due to domestic consumption is possible, since due to the shutdown of the Nord Stream 2 pipeline, the Government launched a gasification program for the North-West region.…”

Section: Methodsmentioning

confidence: 99%

Prospects for the development of the oil and gas sector in the Russian Federation

Zhichkin

Zhichkina²,

Moskaleva³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The purpose of the study was to predict the prospects for the development of this sector. As part of this, the following tasks were set: - to analyze the state of oil and gas production in Russia and the world; - to determine the factors affecting the economic efficiency of oil and gas production; - predict the level of production in the medium term. Currently, Russia ranks 2nd in terms of oil and gas production, and in terms of reserves - 7th and 1st respectively. Oil and gas production enterprises play an important social role, providing employment for a significant number of the population, high incomes, and maintenance of social facilities. Industry enterprises have shown high resilience to external influences during the COVID-19 pandemic and the Ukrainian crisis.

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“…CNN has high efficiency in practice and is guaranteed when working with big data. A work conducted by [ 188 ] identifies defects and further condition assessment in the pipeline with CNN. A small database to determine whether there are defects in the pipeline has also been proven to be effective.…”

Section: Data Managementmentioning

confidence: 99%

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiu

Tian

Zeng

et al. 2021

Sensors

106

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Pipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defects, and external force damage, etc. Defects like metal loss, pitting, and cracks destroy the pipeline’s integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline. In recent years, different non-destructive testing (NDT) methods have been developed for in-line pipeline inspection. These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC). Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed. Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. In this study, various inspection methods in association with non-destructive testing are investigated. The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared. Furthermore, data models and management are utilized for defect quantification, classification, failure prediction and maintenance. Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed.

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Assessment of the Condition of Pipelines Using Convolutional Neural Networks

Cited by 25 publications

References 20 publications

Environmental foundations of oil and gas production in the Russian Federation

Environmental foundations of oil and gas production in the Russian Federation

Prospects for the development of the oil and gas sector in the Russian Federation

Pipeline In-Line Inspection Method, Instrumentation and Data Management

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