A methodical graph of geophysical data integrating in assessing the reservoir properties of sedimentary formations based on modern GIS technologies is proposed. The procedures used for this purpose in the frames of the GIS INTEGRO complex include the zoning of potential fields according to a measure of their similarity with an object with “ideal” reservoir properties and the identification of zones of increased conductivity in the specific resistivity cross-sections, which are promising for the search of reservoirs according to the electrical logging criteria as well as hydrocarbon traps. The results of this graph application are demonstrated by analyzing the materials of the exploration stage of the study of the junction zone of the Baikit anteclise and the Kureyskaia syneclise (Eastern Siberia). The analyses is conducted with the account for seismic and well-logging data, as well as the information on the geology and physical properties of the rocks in the region. For the most perspective oil and gas complexes in the study area, maps of the distribution of objects with inhenced reservoir properties, which were selected according to the integrated criteria, are constructed on the results of the analysis.

Viktor A. Spiridonov
Сandidate of Technical Sciences
Head of the Sector
Department of Geoinformatics
All-Russian Research Geological Oil Institute
8, Varshavskoe sh., Moscow, 117105, Russia
e-mail: v.spiridonov@geosys.ru
ORCID ID: 0000-0002-9421-555X

Elena Yu. Sokolova
Candidate of Physical and Mathematical Sciences
Leading Researcher
Department of Geoinformatics
All-Russian Research Geological Oil Institute
8, Varshavskoye sh., Moscow, 117105, Russia
Leading Researcher
Schmidt Institute of Physics of the Earth
of the Russian Academy of Sciences
build. 1, 10, Bolshaya Gruzinskaya str., Moscow, 123242, Russia
е-mail: sokolova.e@vnigni.ru
ORCHID ID: 0000-0002-5788-6944
Scopus Author ID: 7103067584
Researcher ID: P-3076-2015
SPIN-код: 9848-2055
AuthorID: 61429

Ivan S. Soltan
2nd category Geophysicist
All-Russian Research Geological Oil Institute
36, shosse Entuziastov, Moscow, 105118, Russia
e-mail: soltan@vnigni.ru
ORCID ID: 0009-0002-2303-5815

Ivan V. Spiridonov
Researcher
Department of Geoinformatics
All-Russian Research Geological Oil Institute
8, Varshavskoye sh., Moscow, 117105, Russia
e-mail: i.spiridonov@geosys.ru
SPIN-код: 6790-4919
AuthorID: 1244775

Ilya A. Lyubarev
Researcher
Department of Geoinformatics
All-Russian Scientific Research Geological Oil Institute
8, Varshavskoye sh., Moscow, 117105, Russia
е-mail: ilja@geosys.ru
ORCID ID: 0009-0007-6089-4391

Nikolay N. Valeyev
Junior Researcher
All-Russian Scientific Research Geological Oil Institute
8, Varshavskoe sh., Moscow, 117105
е-mail: nn.valeev@mail.ru
ORCID ID: 0009-0005-1406-9599
SPIN-код: 1750-3754
AuthorID: 1251655

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