Under continuous development since 1973, UNISEIS is FSI’s principal processing software. Currently, it is comprised of over 200 individual modules, covering all aspects of seismic data processing. UNISEIS is one of the seismic industry's most extensive, robust and highly field-proven processing systems.
Amplitude analysis & processing: UNISEIS provides a large number of modules for the monitoring/analysis of the amplitude content of the data, from basic signal-to-noise ratio estimation through highly sophisticated cross-dataset analysis, and matching, employed in proprietary and specialist workflows such as GeoQube and 4D/time-lapse processing.
Signal analysis & processing; UNISEIS provides a wide set of analysis tools for signal analysis and processing. Some allow the users to view, categorize and manipulate the data. Some are Analytic in nature, other provide insights into geological and physical aspects of the data, such as Q.
Multiple attenuation: Techniques for attenuation the multiple content of datasets may be characterized in several ways. UNISEIS offers processing technology designed to exploit these different approaches, such as deconvolution, filtering in integral transform domains, surface-related estimation and wave-equation based methods.
Noise elimination/signal-to-noise ratio enhancement: UNISEIS provides a wide variety of software designed to improve signal-to-noise ratio. Many take the form of filters, preceded by a transform separating the noise and signal elements in the recordings. Some are designed to deal with coherent, predictable, noise, others with non-predictable.
Static & dynamic corrections: FSI has invested heavily in analysis software and in ensuring that, whatever the origin – near-surface geology, (an)isotropic moveout, receiver motion compensation, migration imaging – high-fidelity corrections can be accurately derived and applied.
Data regularization & interpolation: Even where not explicit, many processing techniques have an implicit requirement for a regular spatial distribution of the data. FSI geophysicists have a wide range of algorithms, in the time and other domains, for addressing the interrelated issues of data regularization and interpolation.
Imaging: A wide variety of imaging algorithms are available, ranging from the simplest Stolt 2D post-Stack time, through 2D and 3D wavefield extrapolation codes, both phase-shift and finite-difference and a number of Kirchhoff implementations including SHIMOGEN, FSI's highly regarded 3D pre-STM application.