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	Collection and processing of environmental information in oil and gas production areas and solving other applied problems using active search methods (Review article)</div>

Svitnev Igor V. , Naydanov Alexander F. , Vilkov Alexey V. , Sokolov Dmitry A. , Lebedev Mikhail Yu. , Elena A. Kharitonova , Lyudmila A. Lukyanova

2024 , VOLUME 24, NUMBER 1 ( january-february )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
D.Sc., Prof.

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doi: 10.17586/2226-1494-2024-24-1-144-155

Collection and processing of environmental information in oil and gas production areas and solving other applied problems using active search methods (Review article)

I. . Svitnev, A. F. Naydanov, A. V. Vilkov, D. A. Sokolov, M. Y. Lebedev, E. A. Kharitonova, L. A. Lukyanova

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Svitnev I.V., Naydanov A.F., Vilkov A.V., Sokolov D.A., Lebedev M.Yu., Kharitonova E.A., Lukyanova L.A. Collection and processing of environmental information in oil and gas production areas and solving other applied problems using active search methods (Review article). Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2024, vol. 24, no. 1, pp. 144–155 (in Russian). doi: 10.17586/2226-1494-2024-24-1-144-155

Abstract

The methods of monitoring the environmental situation as well as the problems of solving related applied environmental and resource problems in hard-to-reach areas of oil and gas production and also in other sectors of the national economy using unmanned aerial vehicles, are investigated. The methods of studying the types and thicknesses of the layers of the underlying surface by probing them with electromagnetic pulses of the radiofrequency range and gamma radiation are considered. Based on the existing theoretical dependencies of the interaction of electromagnetic radiation with the Earth’s surface, diagrams of the passage of electromagnetic waves in the decimeter and centimeter ranges through various landscape structures (snow-ice-water-frozen soil) are presented. It is shown that the use of gamma radiation makes it possible to solve the problem of determining the effective altitude of an aircraft during environmental monitoring due to the high energy of photon radiation and albedo from various surfaces including snow cover. A method for calculating the pollutant content on the underlying surface with a given probability of its reliable detection is presented. It is noted that the reliability of the readings of measuring instruments is significantly influenced by their geometric location on the transport platform. It is shown that the proposed solution is advisable to implement using two unmanned aerial vehicles or as mall-sized unmanned airship. Based on the review, the composition of the technical means of the complex for recognizing the types and thicknesses of layers of contamination of the underlying surface is proposed. A possible methodology for assessing the environmental situation is presented. The results of the work can be used in conducting environmental exploration of infrastructure used for transporting oil and gas resources in conditions of difficult access to it as well as for solving similar military-applied and engineering-construction tasks. At the same time, for the first time, the joint use of the radio frequency range of electromagnetic waves and gamma radiation was proposed. The radio frequency range makes it possible to study the structure of the landscape, and gamma radiation from backscattered ionizing radiation is a type of pollutant, as well as to ensure high accuracy in measuring the distance from the module to the upper layer of the underlying surface.

Keywords: gamma radiation, confidence interval, pollutant, environment, height determination, radio pulse, layer thickness, environmental situation, electromagnetic waves

References

Prituzhalova O.A., Radchenko K.S. Problems of industrial environmental control in building companies. Construction and Industrial Safety, 2019, no. 14(66), pp. 145–154. (in Russian)
Kuklina P.P., Kachukova A.A., Kvarachelija E.V., Pesnja E.I., Bljaharskij D.P. Unmanned aerial laser scanning. Geodesy, cartography, geoinformatics and cadastre. From idea to application. Collection of abstracts of the IV Russian Conference on Applied Science, 2021, pp. 108–112. (in Russian)
Vasilev V.N. et al. Emission Spectra of X-ray Installations. Moscow, Jenergoatomizdat Publ., 1990, 143 p. (in Russian)
Khramov A.V., Ermolaev A.A., Shalashova A.I., Kontrosh L.V. Possibilities of environmental monitoring with UAV use in Russia. Proceedings of Saint Petersburg Electrotechnical University, 2017, no. 7, pp. 79–84. (in Russian)
Khabarov D.A., Adiev T.S., Popova O.O., Chugunov V.A., Kozhevnikov V.A. Analysis of modern technologies for remote sensing of the Earth. Moscow Economic Journal, 2019, no. 1, pp. 181–190. (in Russian). https://doi.org/10.24411/2413-046X-2019-11068
Abramov N.S., Makarov D.A., Talalaev A.A., Fralenko V.P. Modern methods for intelligent processing of earth remote sensing data. Program Systems: Theory and Applications, 2018, vol. 9, no. 4(39), pp. 417–442. (in Russian). https://doi.org/10.25209/2079-3316-2018-9-4-417-442
Grigoriev A.N., Shabakov E.I., Dementiev A.N., Romanov A.A. Method to reduce data redundancy in remote sensing from space. Journal of Instrument Engineering, 2016, vol. 59, no. 1, pp. 38–44. (in Russian). https://doi.org/10.17586/0021-3454-2016-59-1-38-44
Sevryukova E.A., Volkova E.A., Doroshenko V.A., Solodkov A.V. A prototype unit of a distributed sensor system for ecological monitoring. Journal of the Russian Universities. Radioelectronics, 2021, vol. 24, no. 3, pp. 98–108. https://doi.org/10.32603/1993-8985-2021-24-3-98-108
Trofimova T.I. 500 Basic Laws and Formulas. Moscow, Vysshaja shkola Publ., 2005, 64 p. (in Russian)
Lukyanova L.A., Svitnev I.V., Kharitonova E.A., Gavrilov I.E. Method for remote control of radiation parameters of spacecraft based on X-ray fluorescence analysis. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2022, vol. 22, no. 4, pp. 650–658. (in Russian). https://doi.org/10.17586/2226-1494-2022-22-4-650-658
Chernetskaya I., Spevakova S. Multispectral electronic device for autonomous mobile platform of ecological monitoring. Trudy MAI, 2020, no. 114, pp. 13. (in Russian). https://doi.org/10.34759/trd-2020-114-14
Dudkin D.S., Naidanov A.F., Svitnev I.V. Simulator of a hardware-software complex for recognizing the types and layers thicknesses of the underlying surface by probing with electromagnetic radiation in the decimeter, centimeter and X-ray ranges. Certificate of the state computer program registration RU2018614834, 2018. (in Russian)
Alekseev N.V. New look at the Compton effect. Breakthrough scientific research as the engine of science: Proc. of the International Scientific and Practical Conference. Moscow, Ajeterna Publ., 2019, pp. 9–15. (in Russian)
Kulganov V.A., Svitnev I.V., Sokolov D.A., Nigmatullin R.A. Method for detecting the contamination of the underlying surface based on the characteristics of backscattered ionizing radiation. Proc. of the All-Russian Scientific Conference "Ecology and Space" named after Academician K.Ya. Kondratiev, 2020, pp. 206–212. (in Russian)
Sokolov D.A., Kosyrev S.V., Kislitsyna I.A. Rocedure for calculating the contaminant content on the substrate surface with a given probability of its reliable determination. Ecology and Society Development, 2021, no. 1(35), pp. 31–38. (in Russian)
Liubushin N.P., Brikach G.E. Harrington’s desirability generalized function in multiple parameter economic tasks. Economic Analysis: Theory and Practice, 2014, no. 18(369), pp. 2–10. (in Russian)
Dudkin D.S., Naydanov A.F., Svitnev I.V. Module of recognition of types and thicknesses of the underlying surface under the conditions of the far north. Innovations, 2018, no. 11(241), pp. 116–121. (in Russian)

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