Methodological substantiation of the dynamics of the environment-forming potential of oil and gas-bearing territories

Forest ecosystems, soil variations, and subsoil are important elements in analyzing the conditions of a territory during hydrocarbon production in oil and gas regions. Because of hydrocarbon extraction, the environment-forming potential of a territory, which includes a range of natural, climatic, physical, geographical, and ecological-economic factors, decreases due to intensive anthropogenic impact. Therefore, a group of researchers identified a pressing scientific and technical challenge. The solution to this challenge, using a developed set of methods, allows for tracking the dynamics of changes in the environment-forming potential of oil and gas regions based on Earth remote sensing data. The scientific novelty of this work lies in the methodological justification for analyzing the transformation of environment-forming potential with the aim of identifying and preventing a number of negative processes exacerbated by anthropogenic impact, as established using remote sensing during engineering and environmental surveys and land monitoring. The object of this study is the totality of negative processes on lands used for forestry, agriculture, industry, energy, transportation, communications, broadcasting, television, information technology, space activities, defense, security, and other special purposes. These processes influence the environmental potential of oil and gas-bearing territories, especially under anthropogenic impacts.

Bogdanova O. V., Chernykh E. G., Merkurieva K. R., Sizov A. P., Simonyan V. V. Methodological substantiation of the dynamics of the environment-forming potential of oil and gas-bearing territories. MIAB. Mining Inf. Anal. Bull. 2026;(10-1):63-76. [In Russ]. DOI: 10.25018/0236_1493_2026_101_0_63.

The research was carried out under the agreement with the «Moscow State University of Civil Engineering» No. TIU/K-26 dated May 14, 2026 for the performance of scientific research work.

O.V. Bogdanova¹, Dr. Sci. (Econ.), Assistant Professor, Head of Chair, e-mail: bogdanovaov1@tyuiu.ru, ORCID ID: 0009-0007-9540-6183,
E.G. Chernykh¹, Dr. Sci. (Eng.), Assistant Professor, Professor, e-mail: chernyheg@tyuiu.ru, ORCID ID: 0000-0002-2644-4721,
K.R. Merkurieva¹, Senior Lecturer, e-mail: k_r_merkurieva@mail.ru, ORCID ID: 0000-0001-6650-9107,
A.P. Sizov², Dr. Sci. (Eng.), Assistant Professor, Professor, e-mail: ap_sizov@mail.ru, ORCID ID: 0000-0001-6175-0145,
V.V. Simonyan², Dr. Sci. (Eng.), Assistant Professor, Head of Chair, e-mail: simonyan.vladimir55@gmail.com, ORCID ID: 0000-0002-3224-9500,
¹ Industrial University of Tyumen, 625001, Tyumen, Russia, 
² Moscow State University of Civil Engineering, 129337, Moscow, Russia.

E.G. Chernykh, chernyheg@tyuiu.ru.

1. Ziegler D., Wolff S., Agu A.-B., Cortiana G., Umair M., Durfort F. D., Neumann E., Walther G., Kristiansen J., Lienkamp M. How to measure sustainability? An open-data approach. Sustainability. 2023, vol. 15, no. 4, article 3203. DOI: 10.3390/su15043203.

2. Abdel Rahman M. A. E. An overview of land degradation, desertification and sustainable land management using GIS and remote sensing applications. Rendiconti Lincei. Scienze Fisiche e Naturali. 2023, vol. 34, no. 3, pp. 767—808. DOI: 10.1007/s12210-023-01155-3.

3. Emelyanov A. A., Ereshko M. V., Sizov O. S., Borisov A. V. Review of modern cloud platforms for processing and analyzing remote sensing data and information products based on them. Earth Research from Space. 2022, no. 2, pp. 72—87. [In Russ]. DOI: 10.31857/S020596142202004X.

4. Kolesnikov A. A. Analysis of Artificial intelligence methods and tools for active remote sensing data analysis and interpretation. Vestnik SSUGT. 2022, vol. 27, no. 3, pp. 74—94. [In Russ].

5. Khatib A., Malinnikov V. A. Automated classification of vegetation cover of the Mediterranean landscape based on high-resolution space images taking into account spectral-textural and topographic features. Current problems in remote sensing of the earth from space. 2021, vol. 18, no. 2, pp. 51—63. [In Russ].

6. Ni Z., Zong Z., Ren P. Incorporating object counts into remote sensing image captioning. International Journal of Digital Earth. 2024, vol. 17, no. 1, article 2392847.

7. Zhou Q., Wang S., Liu Y. Exploring the accuracy and completeness patterns of global land-cover/land-use data in OpenStreetMap. Applied Geography. 2022, vol. 145, article 102742. DOI: 10.1016/j.apgeog.2022.102742.

8. Wang H., Zhang W., Ren P. Self-organized underwater image enhancement. ISPRS Journal of Photogrammetry and Remote Sensing. 2024, vol. 215, pp. 1—14.

9. Lyu X., Han H., Ren P., Grecos C. Diffusion LSTM: A framework for image sequence generation and its application to oil spill monitoring and prediction. IEEE Transactions on Geoscience and Remote Sensing. 2024, vol. 62, article 5632313.

10. Ren P., Tao Y., Han J., Li P. Hashing for geo-localization. IEEE Transactions on Geoscience and Remote Sensing. 2023, vol. 61, article 5623213.

11. Sun X., Zhang X., Huang W., Han Z., Lyu X., Ren P. Sea ice classification using mutually guided contexts. IEEE Transactions on Geoscience and Remote Sensing. 2023, vol. 61, article 4204019.

12. Sizov A. P., Chernykh E. G., Shchukina V. N., Merkurieva K. R. Characteristics of the optimal structure of lands based on the results of calculating the environment-forming potential of the territory. Geodeziya, zemleustroystvo i kadastry: problemy i perspektivy razvitiya: sbornik nauchnykh trudov po materialam V Mezhdunarodnoy nauchno-prakticheskoy konferentsii, posvyashchennoy 105-letnemu yubileyu kafedry geodezii i distantsionnogo zondirovaniya [Geodesy, land management and cadastres: problems and development prospects: collection of scientific papers based on the materials of the V International scientific and practical conference dedicated to the 105th anniversary of the Department of Geodesy and Remote Sensing], Omsk, 2023, pp. 482—486. [In Russ].

13. Lebedev Yu. V. Ecological and economic assessment of the environment-forming potential of forest landscapes in Krasnoyarsk Krai. Geography and Natural Resources. 2013, no. 2, pp. 166—173. [In Russ].

14. Vasilchenko A. V. The problem of environmental assessment of soil pollution by oil products. Bulletin of Orenburg State University. 2015, vol. 10, no. 185, pp. 147—151. [In Russ].

15. Solodovikov A. Yu. State of the oil and gas resource base in the Tyumen region. Tyumen state university herald. Natural resource use and ecology. 2015, vol. 2, no. 2, pp. 50—61. [In Russ].

16. Verkhoturov A. A., Melkiy V. A. Development of regional land monitoring systems based on atlas mapping. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2016, vol. 327, no. 7, pp. 66—83. [In Russ].

17. Masyutenko N. P., Chuyan N. A., Kuznetsov A. V., Glazunov G. P., Kaluzhskikh A. G., Dubovik E. V., Pankova T. I., Bakhirev G. I., Sukhanovskiy Yu. P., Sanzharova S. I., Prushchik A. V., Solov'eva Yu. A., Chuyan O. G. Sistema otsenki resursnogo potentsiala agrolandshaftov dlya formirovaniya ekologicheski sbalansirovannykh agrolandshaftov [A system for assessing the resource potential of agricultural landscapes for the formation of ecologically balanced agricultural landscapes], Kursk, 2012, 67 p.

18. Bulatov A. I., Makarenko P. P., Shemetov V. Yu. Okhrana okruzhayushchey sredy v neftegazovoy promyshlennosti [Environmental protection in the oil and gas industry], Moscow, Nedra, 1997, 483 p.

19. Dubrovsky A. V. Methodological approaches to modeling and forecasting the rational use of land resources using geotechnologies. Vestnik SSUGT. 2022, vol. 27, no. 3, pp. 145—156. [In Russ]. DOI: 10.33764/2411-1759-2022-27-3-145-156. 

20. Klopfer F., Gruehn D. Leveraging open source land use and land cover data for urban and regional planning in transforming areas. Regional Studies, Regional Science. 2024, vol. 11, no. 1, pp. 738—756. DOI: 10.1080/21681376.2024.2422348.