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RokDoc Bayesian Classification
By Ikon Science
Plug-in Attributes
UK, EAR99 de-minimis
  • 2014 | 2015
Supporting Documents
Installation Guide
Release Notes
User Manual
RokDoc Bayesian Classification plug-in is a powerful probabilistic reservoir characterisation tool applied to seismic data. The plug-in utilises the same algorithm found in RokDoc main platform to apply geostatistical well based analysis to elastic impedance volumes. Users have full QC control over Probability density functions and results through easy to use dialogs and viewers.
  • RokDoc Cross-Plotter for Petrel is required to run this plug-in
  • Based on, and linked to, the industry-reference RokDoc platform
  • Backed by Ikon’s global support network (14 offices)
  • Identical functionality as RokDoc enables users to leverage experts as required
  • Sessions saved in Petrel so may be reactivated at any time
  • Operates with Petrel* 2013/14 on MS Windows 7 or Windows 8
Geostatistically derived Probability Density Functions from well data, representing facies/lithology can be visualised and edited in a fully 3D cross-plotter and then utilised by the Bayesian function to deliver meaningful probability volumes. An interactive, on the fly input/output viewer allows effcient calculation of probability results with the option of realising full volumes.