AI solutions as a base for Geohazards, Lithology  and pore pressure prediction

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We suggest DTW and *Rune Inversion techniques as a base for Geohazard, lithology and porosity prediction when seismic gathers or only stacked data are available.

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High-resolution geohazard, pore pressure, lithology and porosity studies are provided in cooperation with ModelGeo.

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Seismic velocity is an attractive parameter for geohazard interpretation, pore pressure analysis, play and prospect evaluations, and other geological studies. However ordinary seismic processing velocities often do not have a good enough resolution. We adapt a dynamic time warping algorithm to estimate geologically reasonable high-resolution velocities from average-quality seismic data that can be used for geohazard analysis based on 3D seismic data. To predict free gas and/or excess pore water pressure in thin shallow layers, we use velocity inversion. It is a method for simultaneous inversion of velocity data to geological attributes.

 

Our publications:

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 - V.Kalashnikova, I.Meisingset, R.Øverås and D.Krasova. High-resolution seismic velocity field estimation techniques and their application to geohazard, lithology and porosity prediction”, Near Surface Geophysics, 2020.   

https://onlinelibrary.wiley.com/doi/abs/10.1002/nsg.12083

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 -V.Kalashnikova, R.Øverås, I.Meisingset, D.Krasova and A. Butt. High Resolution Velocity Attribute for Reservoirs, Lithology and Pore Pressure Prediction. Extended Abstract. GeoConvention 2018, Calgary May 7-11.

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 - R.Øverås, V.Kalashnikova, S.Guidard (PSS-Geo AS), I.Meisingset (First Geo AS). Construction Technique of High Resolution Velocity Field - New Attribute for Seismic Interpretation. The First EAGE/PESGB Workshop on Velocities in London, UK, Feb 22-23, 2018

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