Read More About Premiere Integrated Solutions for Rock Physics, Reservoir Characterization, Pore Pressure Prediction & Geomechanics

Random Forest (RF) is a supervised machine learning algorithm used in both classification and regression problems. It was an added function to the Deep QI license for RokDoc 2023.1!

Ikon Science Technology Forum and Party Hello! We are excited to announce the upcoming Technology Forum and Party. This will be a one-day event for the RokDoc user group where we have invited customers like you to share insights on how they have used RokDoc to bring success to their teams, ...

The latest Deep QI development provides a more realistic, data driven overview of the subsurface and increases performance and flexibility when performing ML based workflows.

Highlights in the RokDoc 2023.1 updates within the Reservoir Characterization license:

We have applied various Pressure and Stress enhancements:

The Rock Physics license has several improvements in 2023.1. Some of the highlights are:

Do you know how your fluids and rock properties are affecting your AVO response? With the Blocky AVO tool in the Rock Physics module, you can quickly and easily test multiple scenarios to verify geological assumptions and understand which elastic properties will give you the best rock property ...

Usability and streamlined workflows are keys to faster and improved geomechanical and pore pressure predictions. These are some of the highlights of the new version of the Pressure Prediction module in RokDoc 2022.4:

The Rock Physics module has been updated with new features and enhancements targeting efficiencies in QI workflows. Some of the changes included in RokDoc 2022.4:

The Reservoir Characterization Module and its add-ons such as Ji-Fi have had improvements in performance and functionalities. RokDoc 2022.4 aims to continue streamlining all prediction workflows: