2024-2025
- 
Driving sustainable urban futures: a Romanian - Norwegian innovation geophysical alliance for green transition and smart city development. (Innovation Norway grant 2024-2025) 
2023-2025
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Pre-stack implementation of the AI-based seismic inversion algorithm with artificial constraints. (#341352. The Research Council of Norway. Grant. Innovation Project for the Industrial Sector 2022.) 
2022
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Production code for pre-stack Rune Inversion 
- 
Pilot version ML fluid prediction online platform - ready for evaluation QUICKi 
2021
- 
Cloud solutions AI + ML user application for Lithology and Fluid prediction 
- 
Non-stretched Stacking 
2020
- 
Machine learning solutions for fluid prediction, extension of AI Rune inversion (Innovation Norway grant 2020) 
- 
Full Waveform Migration, user browser application (based on the Delphi source code) 
2019
- 
Enhancement Salt structures - Seismic processing 
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Artificial Intelligence - Rock properties prediction from Seismic traces 
- 
Cost efficient subsurface estimation for geology and geohazard for Wind Miles. 
2018
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Burial Depths North Sea and Norwegian Sea 
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Seismic Q-factor section estimation, for fluid accommodation prediction (in collaboration with IPGG SB RAN) 
- 
High Resolution Velocity construction technique based on Dynamic Auto Correlation, Dynamic Time Warping and Amplitude Based Methods for Quantitative Analysis (in collaboration with First Geo AS) 
- 
Fault and Sealing analysis of seismic data using Prony Frequency Filtering method (internal) 
- 
Physical justifications of Negative Poisson’s coefficients for rocks (in collaboration with IPGG SB RAN) 
- 
Deghosting module plug-in for any domain-configuration (internal) 
2014
- 
Deghosting pre-stack different domains 
- 
3D CRS based on WTI 2D solution 
2013
- 
Deghosting pre-stack different domains 
- 
3D CRS based on WTI 2D solution 
- 
Deghosting post-stack 
2011
- 
Beam migration solution 
2005
- 
Kirchhoff time-migration 
We are open for collaboration with service and oil&gas companies.
Please submit your letter of interest to Vita Kalashnikova, vita@pss-geo.com

