The article is devoted to the methodology of constructing a velocity model based on vertical seismic profiling (VSP) data using the INTEGRO GIS software package. The stages of VSP data processing are examined — from initial preparation and filtering to the construction of the velocity model and its subsequent interpretation. The tools and functions implemented in the system are described, including outlier removal, generalization of time markers, correlation with well logging data, and propagation of models across a group of wells. Special attention is given to the application of INTEGRO GIS in both educational and industrial settings, making the software a versatile solution for training as well as for solving applied geophysical interpretation tasks.

Kristina V. Toloknova
Leading Engineer
Geoinformatics Department of
All-Russian Research Geological Oil Institute
8 Varshavskoye shosse, Moscow, 117105, Russia
е-mail: kristina@geosys.ru

Dmitriy A. Drovninov
Leading Engineer
Geoinformatics Department of
All-Russian Research Geological Oil Institute
8 Varshavskoye shosse, Moscow, 117105, Russia
е-mail: drovninov@geosys.ru
SPIN-code: 6513-7034
AuthorID: 1282140

Anna V. Lyubimova
Candidate of Technical Sciences
Head of the GIS and Digital Cartography Department
of the Geoinformatics Division
All-Russian Research Geological Oil Institute (“VNIGNI”)
8, Varshavskoye sh., Moscow, 117105, Russia
Head of the Department of GIS Technologies
Institute of Systems Analysis and Management
Dubna State University
19, Universitetskaya str., Dubna, Moscow region, 41980, Russia
e-mail: a.lyubimova@geosys.ru
ORCID ID: 0000-0002-8075-937X
Scopus ID: 56358577200
SPIN-code: 9978-9097
AuthorID: 372313

1. Bayanov A.S., Merkulov V.P., Stepanov D.Yu. Vertikal`noe sejsmicheskoe profilirovanie neftyanyh i gazovyh skvazhin [Vertical seismic profiling of oil and gas wells]. Tomsk : Izdatel’stvo TPU; 2009. 100 p. In Russ.
2. Bolshakov E.M., Biserkin I.A., Kupriyanov I.S., Pimanova N.N., Sokolova E.Yu., Spiridonov V.A., Finkelstein M.Ya. The use of INTEGRO GIS in the integrated geophysical study of the deep structure of oil and gas prospective regions (part 1). Geoinformatika. 2022;(4):63–74. DOI: 10.47148/1609-364X-2022-4-63-74.
3. Toloknova K.V., Drovninov D.A., Lyubimova A.V. GIS INTEGRO: new opportunities for training students in geological and geophysical fields. Geoinformatika. 2022;(3):63–72. DOI: 10.47148/1609-364X-2022-3-63-72.