2025, Vol. 12, No. 2. - go to content...

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DOI: 10.15862/13INOR225 (https://doi.org/10.15862/13INOR225)

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Kapustina O.A., Nesterenko M.Yu., Antonova O.V. Primary analysis of spatiotemporal data to assess the geodynamic state of mineral deposits. Russian journal of resources, conservation and recycling. 2025; 12(2). Available at: https://resources.today/PDF/13INOR225.pdf (in Russian). DOI: 10.15862/13INOR225

Primary analysis of spatiotemporal data to assess the geodynamic state of mineral deposits

Kapustina Oksana Aleksandrovna
Orenburg Federal Research Center of the Ural Branch of the Russian Academy of Sciences, Orenburg, Russia
E-mail: onica1@yandex.ru
ORCID: https://orcid.org/0000-0001-8981-6599
RSCI: https://elibrary.ru/author_profile.asp?id=531209

Nesterenko Maksim Yuryevich
Orenburg Federal Research Center of the Ural Branch of the Russian Academy of Sciences, Orenburg, Russia
E-mail: n_mu@mail.ru
ORCID: https://orcid.org/0000-0003-1465-0752
RSCI: https://elibrary.ru/author_profile.asp?id=632852

Antonova Olga Viktorovna
Orenburg Federal Research Center of the Ural Branch of the Russian Academy of Sciences, Orenburg, Russia
E-mail: olga-oren@rambler.ru
RSCI: https://elibrary.ru/author_profile.asp?id=1132788

Abstract. The article examines the initial geodata necessary to assess the geodynamic state of hydrocarbon deposits. As the main ones, the authors consider spatial and temporal data on seismic activity in hydrocarbon deposits of the Southern Urals obtained from the Data Processing Center of the network of seismological stations «Neftegaz-Seismika» (Department of Geoecology, Federal Research Center of the Ural Branch of the Russian Academy of Sciences, Orenburg, Russia) and the Kazakh National Data Center (Almaty, Kazakhstan). The closed source information on the parameters of the developed and exploited mineral deposits of the Orenburg region, provided by subsurface users, is also being investigated. The article proposes to obtain geographical, geological, hydrological and other data on the studied objects from the open source OpenStreetMap by forming queries in the Overpass language. The authors have highlighted the main characteristics of geodata obtained from various sources and identified the main stages of their preprocessing, including: uploading geodata from various sources, checking their integrity and cleaning, converting categorical features, visualization and quality assessment. Using the Python programming language, a primary analysis of the initial geoinformation was carried out according to the proposed stages for each data set. Data visualization made it possible to visually assess the quality of the data presented and justify the need for further data analysis. As a result of the work, a new set of data has been formed for deeper analysis or use in geoinformation systems when solving the problem of assessing the geodynamic state of mineral deposits.

Keywords: geodata; preprocessing; analysis of spatial data; anomalies of spatial data; duplication of geodata; geodynamic condition; deposits

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