PaleoScan™ 2023 is a new generation of 3D seismic interpretation software that allows geoscientists build a geological model while interpreting seismic volumes. With this new release, Eliis continues to innovate seismic interpretation with more tools to interpret larger seismic data sets with added speed and precision, in particular for the 2D workflow. Bluware FAST™ was also incorporated as adaptive streaming technology into PaleoScan™ to enable the ability to store 3D seismic data in VDS format in the OSDU™ Data Platform and stream it from the cloud. Finally, a strong effort is done to improve user’s experience while working with 2D seismic data in the application.
The 2023 release brings more options to complete the workflow from exploration to reservoir characterization, with a suite of various applicative modules in geology (sequence stratigraphy, structural interpretation, geobodies extraction) and quantitative interpretation (properties modeling, colored inversion, seismic to well tie and time-depth conversion). It also offers functionalities in spectral decomposition and color blending.
The core technology proposes a global approach to optimize the interpretation process and ensure the geological consistency at different scales. This methodology and workflow help interpreters to quickly understand the regional geology as well as reservoir detection.
The traditional workflow in seismic interpretation consists in tracking a set of horizons to obtain a geological model. Unlike such methods, based only on local analysis of the signal, PaleoScan™ is based on a comprehensive approach. It uses optimization algorithms to correlate the seismic traces and at the same time, build a geological model. The latter can be then refined by inserting or modifying discontinuity and continuity constraints such as faults or manually picked horizons. With various interactive tools, interpreters can then quickly converge towards an optimum relative geological time (RGT) Model with a high level of accuracy and precision.
Once generated, the RGT Model proposes various applications, as summarized below:
• Computation of new attributes
• horizons modelling
• Identification of geological targets (geo-bodies)
• Fault Enhancement
• Well correlation
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