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.
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.
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.

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.

Noise Reduction
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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.
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.
