Publications
2024 Evaluating the Use of Active Seismic Survey in Low Enthalpy Geothermal Projects: A VOI-Based Methodology. Juri Muzi (PSS-GEO, Norway) and Alessandro Brovelli (ISAMGEO, Italy). Workshop on Green Transition and Geophysics for Smart City Stakeholders November 15, 2024 | University House, Bucharest. Extended Abstract. Presentation
Applicability of Geophysical Surveys in Geothermal Projects in Romania – Status and Potential for Reservoir De- Risking: Beiuș and Oradea Case Study. Presentation.
Alena Finogenova (PSS-GEO, Norway), Alexandru Schlett (PSS-GEO, Norway), and Marian Bordeianu (Transgex S.A., Babeș-Bolyai University, Romania). Workshop on Green Transition and Geophysics for Smart City Stakeholders November 15, 2024 | University House, Bucharest. Extended Abstract.
Method for Spatial First Break Picking using Neural Network, QC Editing and Smoothing
Rune Øverås, Vita Kalashnikova, Andrei Voronin, Nodir Mukhutdinov (Yangi Kon). Extended Abstract.
12th Geophysical Congress, BGS, May, 27-31, 2024.
Lithology and fluid prediction using AI algorithms around the Shrek area in the Norwegian Sea.
Vita Kalashnikova, Elena Karaseva, Rune Øverås, Vlad Sopivnik (Lime Petroleum). Extended Abstract.
12th Geophysical Congress, BGS, May, 27-31, 2024.
Application of CRS technique to poor quality of seismic signal data
Rune Øverås, Vita Kalashnikova, Andrei Voronin, Nodir Mukhutdinov (Yangi Kon). Extended Abstract.
12th Geophysical Congress, BGS, May, 27-31, 2024.
2023 Non-regression pre-stack AI-based seismic inversion algorithm
Rune Øverås, Vita Kalashnikova and Barbara Eva Klein. Abstract. IAMG2023, Trondheim, Norway, August 05-12.
2022 Method of seismic inversion using artificial kinematic constraints. (Rune Inversion)
Øverås, Rune, Kalashnikova, Vita. Patent. NIPO 20210133.
Digital Exploring with Artificial intelligence from the start to the end. Cloud-based “cooking”.
V. Kalashnikova, M. Izergin, R. Øverås, V. Sopivnik. Abstract, DIGEx Conference, Stavanger, April 2022.
Common steps - uncommon result. Tips for high-res site survey processing.
Marcin Kaluza, Erling Rykkelid (AkerBP), Rune Øverås. GEO365, 2022.
2021 Application of machine learning algorithms for fluid type prediction based on seismic data.
E. Karaseva and V. Kalashnikova. EAGE 2021. Extended Abstract of Papers, 82th Conference and Exhibition.
DOI: https://doi.org/10.3997/2214-4609.202113023
Determination of faults and capsrocks permeability by evaluating the attenuation factor of seismic signals. Theory.
V. Kalashnikova & T. Sharafutdinov. 2021. Part 1. Theory (308). Karotazhnik (in rus).
Determination of faults and capsrocks permeability by evaluating the attenuation factor of seismic signals. Application.
V. Kalashnikova & T. Sharafutdinov. 2021. Part 2. Application (309) Karotazhnik (in rus).
Fluid prediction from seismic data using different machine learning methods.
V. Kalashnikova, E. Karaseva, R. Øverås, T.R. Sharafutdinov. 2021. 7th EAGE Conference Tumen' Extended Abstract (in rus). DOI: https://doi.org/10.3997/2214-4609.202150051
Practical methods of dehosting and the history of their application over the past 10 years.
V. Kalashnikova, R. Øverås, T.R. Sharafutdinov, A.Z. Nedostupov, V.V. Lancev. 2021. 7th EAGE Conference Tumen' Extended Abstract (in rus).
on Example of Mega Seismic Data Cube in Norwegian Sea
V. Kalashnikova, R. Øverås, T.R. Sharafutdinov, G.R. Vahitova. 2021. 7th EAGE Conference Tumen' Extended Abstract (in rus). DOI: https://doi.org/10.3997/2214-4609.202150045
2020 High-resolution seismic velocity field estimation techniques and their application to geohazard, lithology and porosity prediction.
V. Kalashnikova, I. Meisingset, R. Øverås and D. Krasova. 2020. Near Surface Geophysics.
https://onlinelibrary.wiley.com/doi/abs/10.1002/nsg.12083
Application of post-stack Rune Inversion for reservoir rock properties estimation in comparison with conventional seismic attribute analysis: a case study from the Paleocene formation, Middle Indus basin, onshore Pakistan
Muhammad Zahid Afzal Durrani, Maryam Talib, Vita Kalashnikova, Musharaf Sajjad, Rune Øverås, Carl Fredrik Gyllenhammar, Bakhtawar Sarosh and Syed Atif Rahman, First Break V.38, 2020 July
DOI: https://doi.org/10.3997/1365-2397.fb2020049
2018 Seismic Absorption estimation for Reservoir Prediction using Prony Decomposition.
V. Kalashnikova, R. Øverås. EAGE 2018. (ThA1113). Extended Abstract of Papers, 79th Conference and Exhibition.
Potential of Prony and Phase Decompositions for Reservoir Prediction.
Vita V. Kalashnikova, Rune Øverås, Arif Butt and Stéphanie Guidard. Extended Abstract GeoConvention2018.
Decomposition for Sealing and Leaking fault analysis.
Vita V. Kalashnikova, Arif Butt and Stéphanie Guidard. Extended Abstract GeoConvention2018
High Resolution Velocity Attribute for Reservoirs, Lithology and Pore Pressure Prediction.
Vita V. Kalashnikova, Rune Øverås, Ivar Meisingset, Daria Krasova and Arif Butt. Extended Abstract GeoConvention2018.
Construction Technique Of High Resolution Velocity Field - New Attribute For Seismic Interpretation.
R. Øverås, V. Kalashnikova, S.Guidard and I. Meisingset. Extended Abstract PESGB and EAGE First Velocity Workshop. (ThAI01). 2018.
2015 Seismic Processing Deghosting. Seismic Profile.
R.Øverås, V.Kalashnikova pp.26-28, 2015-07
Seismic Data Attributes - a new look at the old techniques.
Kalashnikova V., Muzi J.,2015. The First, May, p28-31.
Depth migration model building and model verification sequence, by Juri Muzi 2015. Internal.
Depth migration model building and model verification sequence.
The First, SPE Norway, R. MacKinnon, J.Muzi and V.Kalashnikova, 2015.
Seismic Data Attributes PSS-Geo Manual 2015 by V.Kalashnikova. Internal.
2013 First Break 2013, Data Adaptive Ghostbuster