Skip to main content

RokDoc Reservoir Characterization Software Course

2 Day Course – $1, 900/delegate*

Intended for intermediate RokDoc users who require an introduction to Rock Physics Model Templates and RokDoc 3D. 

Sign Up!

Course Overview

Intended for intermediate RokDoc users who require an introduction to Rock Physics Model Templates and RokDoc 3D. Attendees are taken through a series of workflows illustrating the predictive power of rock physics models, before progressing to RokDoc-3D, where the user can model lithologies and fluids, manipulate seismic inversion volumes, create elastic and geological property volumes, and export them to SEG-Y.

The first half of this course covers facies classifications, rock physics model calibration, forward and reverse log modelling, per-facies depth trends and simple blocky modelling. The second day focuses on 3D applications, including building models, 2D and 3D Bayesian classification, reverse modelling lithology and porosity from seismic, AVO analysis and extended elastic impedance.

*Course fee excludes all taxes and delegate travel and accommodation costs.

Detailed Overview

Workflow 1 – Rock Physics Models
  • An introduction to the models

Workflow 2 – Rock Physics Model Templates
  • Unsupervised clustering for facies classification
  • Calibrating the models
  • Creating a model mesh
  • Incorporating seismic data
  • Highlighting modelled properties in 3D Volumes and Well Viewers

Workflow 3 – Forward & Reverse Modeling
  • Forward Modeling Vp, Vs & Rho
  • Reverse Modeling porosity and shale fractions
  • Uncertainty Threshold
  • Changing Rock Physics Model Template Variables

Workflow 4 – Creating per-Facies Depth trends
  • Depth Trend Calibration and Analysis
  • Bayesian Probability Density Functions
  • Modeling AVO at sand/shale interfaces

Workflow 5 – 3D Model Generation
  • Building the model

Workflow 6 – Make Zones and Create Base Model
  • Creating and populating the model

Workflow 7 – Map Viewer and Attribute Map
  • Creating time slices and horizon views of model attributes
  • Measuring pre/partial stack attributes
  • Creating fluid contacts in 3D
  • Fluid substitution

Workflow 8 – Weighted Stack Cross-plot
  • Reshaping inversion volumes
  • Rotating data in elastic space

Workflow 9 – Bayesian Classification
  • Creating and editing 2D Probability Density Functions
  • Bayesian Classification
  • Bayesian Classification from Depth Trends