RokDoc Bayesian Classification

Powerful Interactive Reservoir Classification Tool

A simple to use interface combined with a powerful RokDoc algorithm lets users generate quick and meaningful probability results which are easy to QC in an interactive section viewer. Seismic data and PDFs are required to produce outputs that can be compared to input seismic and highlighted in elastic 3D cross-plot space which allows on the fly visualisation and editing of PDFs

Plug-in Overview

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.

Specifications

• 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

Features

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.