Ikon Science to release latest in reservoir monitoring

October 10, 2018

LONDON -- Ikon Science announce that RokDoc 6.6 is to be released during the SEG 2018, including the launch of a new RokDoc 4D Reservoir Monitoring product. This release demonstrates Ikon’s continuing focus on enabling E&P companies to improve efficiencies, reduce costs and maximize ROI.

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Reservoir characterization with RokDoc 4D with Co-Viz. Image: Ikon Science.

RokDoc Reservoir Monitoring offers significant new functionality. RokDoc now supports corner point grid data, allowing the integration of static (geomodel) and dynamic (flow simulation) property models into 3D/4D shared earth models that can be utilized for 4D time lapse feasibility and ‘close the loop’ workflows. Using this comprehensive new toolset, asset teams can work collaboratively to update geomodel and simulation data with information from 4D seismic and other sources.

Ikon Science is developing new offerings in the field of Corporate Knowledge Management. Ikon’s machine learning approach to quantitative interpretation involves the capture, aggregation and management of rock property information in a corporate knowledge management system so that it is then possible to identify, extract and deliver high-quality data for training of ML algorithms. ML algorithms can then be rapidly deployed across assets delivering novel solutions to subsurface E&P and drilling challenges.

RokDoc 6.6 see's numerous usability and workflow improvements for the handling of large well datasets, with the addition of new multi-well selection capabilities across the software. In response to customer feedback, RokDoc 6.6 now supports the loading, manipulation and conversion of gather datasets with irregular offsets, common in landbased projects.

End users can now move seamlessly from well-based rock physics, pressure and geomechanical analysis of conventional and unconventional reservoirs through to datadriven, 3D seismic reservoir characterization, delivering 3D analytical geomechanical, petrophysical and elastic property models in a single, unified platform.

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