Recent research

PSS-Geo has internal research teams which continuity developing new modules and approaches for different parts of geo exploration. We collaborate and sponsor research institutes and consortia. Our partners: Delphi (Holland), WIT (Germany), IPGG SB RAS (Russia), UiO (Norway) and others.

Publications

PSS-Geo AS developed a processing flow for High-Resolution Velocity construction based on two methods: Amplitude Inversion combined with Dynamic Auto Correlation or combined with Dynamic Time Warping. By combinations these two methods, High-Resolution Velocity field can be generated quickly, without big machine computation power. Implementation of High-Resolution velocity field is a useful attribute for seismic interpretation: lithology, geohazard  and fluid prediction.

Lithology and overpressured zones

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. Near Surface Geophysics, 2020.   

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

V. Kalashnikova, R. Øverås. Seismic Absorption estimation for Reservoir Prediction using Prony Decomposition (EAGE 2018, ThA1113)

Potential of Prony and Phase Decompositions for Reservoir Prediction Vita V. Kalashnikova, Rune Øverås, Arif Butt and Stéphanie Guidard. Extended Abstract GeoConvention2018

Prony 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,Th AI01, 2018

Seismic Processing Deghosting. Seismic Profile R.Øverås, V.Kalashnikova pp.26-28, 2015-07

Seismic Data Attributes - new look at the old techniques, Kalashnikova V., Muzi J.,2015, The Firts, May, p28-31.

Depth migration model building and model verification sequence, by Juri Muzi 2015

Depth migration model building  and model verification sequence,

The First, SPE Norway,  R. MacKinnon, J.Muzi and V.Kalashnikova, 2015

 

EAGE 2015 Prony Filtering

 

EAGE 2015 DAG

EAGE 2015 Full QI Johan Castberg Fast Track

EAGE 2015 Vel for PSDM

EAGE 2015 List of techniques promo

PSS-Geo QI recommendation steps

NCS, 2014 Poster 15 years processing on NCS

NCS, 2014 Poster Quantitative Interpretation

Seismic Data Attributes PSS-Geo Manual 2015 by V.Kalashnikova

Fist Break 2013 post Data Adaptive Ghostbuster

All Seismic Processing Deghosting techniques. 2013 R.Øverås, V.Kalashnikova

 

Rune' Inversion (April 2019) - Artificial Intelligence

The very first Seismic Post-Stack Inversion algorithm that allows estimating Velocity and Density separately; with no well logs data required! Inverted Density and Velocity used as a base for Vclay, Porosity and Reservoir quality attribute - (1-Vclay)*Phi computations. Read theory here.

Phase Decomposition

Thin layers and HC effects are often accompanied by phase anomalies. It can be detected by decomposing the phase.

Original seismic
Phase decomposition 0
Phase decomposition 90

Gravitymagnetic surveys on Drons

accompanied with shallow seismic or Radar scan for engineering and archeology needs.

PSS-Geo accomplished development of engineering solution of light weight Dron servery acquisition. Field' tests were carry out in several terrais. First archeological servery for research planned on summer 2018 in Romsdal Fjord, Norway, Viking's barrows.

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Noise Reduction

Picture2
Picture1
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Tenzor based regularization

-noise reduction

-faults preservation

Post stack  process with demigration and migration for easy structural interpretation.

Q- factor estimation

Thin layers and HC effects are often accompanied by phase anomalies. It can be detected by decomposing the phase.

Integrated Fluid Factor

Integrated Fluid Factor

Wisting Barents Sea PSS-Geo Seismic Data Attributes / Data of MultiClient Geophysical ASA

Fluid Factor weighted frequency

Fluid Factor weighted frequency

Wisting Barents Sea PSS-Geo Seismic Data Attributes / Data of MultiClient Geophysical ASA

Integrated Fluid Factor weit. freq.

Integrated Fluid Factor weit. freq.

Wisting Barents Sea PSS-Geo Seismic Data Attributes / Data of MultiClient Geophysical ASA

Section colored by AVO classes

Section colored by AVO classes

Wisting Barents Sea PSS-Geo Seismic Data Attributes / Data of MultiClient Geophysical ASA

PSS-Geo Seismic Data Attributes

 

 

 

 

Seismic attributes - is a quantity extracted or derived from seismic data that can be analyzed in order to enhance information that might be more subtle in a traditional seismic image, leading to a better geological or geophysical interpretation of the data.

We suggest a package of the attributes that include classic set and Q-factor, Phase decomposition and Lithology.

 

Pre Stack Solutions - Geo

Main office Oslo, Norway +47 225 60 715

 

 

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