Highlights in the RokDoc 2024.4 updates within the Reservoir Characterization license: 

With the latest release, we've focused on bringing cutting edge functionality to the software as well as refinement of existing functionality, useability and data visualization.

Functionality Enhancements

Time Lapse Ji-Fi is a 4D Joint Impedance and Facies Inversion for multi-vintage seismic data. It holds permeable reservoir facies the same across vintages while allowing fluids to change and gives unprecedented insights into fluid movements and reservoir changes over time. Optional controls are provided for temporal transitions e.g. “light to heavy” as a reservoir is produced and “heavy to light” for water or CO2 injection scenarios. 

It works much like the classic Ji-Fi inversion, except that multiple vintages of seismic data are loaded into the inversion interface, and the user can add detailed time-lapse prior information to the Bayesian calculation. For example, maps derived from reservoir simulator time steps could be used to more closely integrate engineering team data into the seismic monitoring workflow. Most importantly, all seismic vintages contribute to the shared facies image, and the impermeable (shales) will always be shales and the permeable (reservoir) will always be reservoir across time. Net-to-gross stays the same as fluid state evolves!

Come see more in-depth presentations on Time Lapse Ji-Fi in October/November 2024 at these events:

EAGE Seismic Inversion 2024

SEG 4D Forum

With the demands of larger 3D and 4D datasets, we've also made batch package generation faster for all Ji-Fi applications. Batch Package execution on cloud resources has shown to scale extremely well, and is an option when results are needed in short timeframes.

Azimuthal Anisotropy Analysis, is now available in 3D sessions with the Anisotropy License. This new functionality allows users to analyze multi-azimuth quantities to look for directional variations. The magnitude, orientation and uncertainty of the quantity variation can be interpreted with this function, which can support fracture interpretation workflows and support drilling optimization (target or avoid fractured zones). This operation is performed post inversion after inverting azimuthally sectored seismic datasets independently. 

 

The Base Property Model Calculation of Interpolated Well Logs in 3D and 4D Sessions has been significantly accelerated. This optimization streamlines complex workflows such as inversion, synthetic generation, and scaling, ensuring quicker and more efficient performance.

 

Data Integration and Documentation Workflow Efficiency

RokDoc’s visual configuration and well data handling have been significantly enhanced for a more intuitive and customizable user experience. New features optimize the user interface and documentation process, including:

Select Well Sets to Display: Tailor visualizations by selecting specific well sets, reducing clutter.

Show/Hide Well Names: Anonymize well names while displaying locations and paths for confidentiality.

Inset Color and Scale Bars: Display options in section and map viewers for better spatial context and data relationships.

Editable Axis Text and Background Colors: Maximizes screen usage and reduces post-editing for professional, easy-to-interpret visualizations.

Relocatable Display Color Bars: Customizable font and background settings for clear visibility.

User-Friendly Axis Display Options: Enhanced interface for changing background colors and applying text styles.

Improved Well Data Projection: New infrastructure for handling multi-geometry 2D data, simplifying integration and comparison.

These updates enhance data presentation, reduce editing time, and ensure efficient communication of findings, supporting both functionality and aesthetics in RokDoc.

Deep QI

3D ML application functions now have a preview mode for quick quality control of trained models by limiting application to the current active line. This new preview mode enables rapid trial-runs and immediate testing of machine learning-generated results without processing the entire dataset. By focusing on the current active line, users can swiftly identify potential issues or areas for improvement, making the model training and validation process more efficient and less time-consuming.

This enhancement not only accelerates the workflow but also ensures that the Deep QI functions are seamlessly integrated with RokDoc's robust 3D mechanics, providing a more intuitive and user-friendly experience. With this update, users can confidently refine their models, optimize their machine learning applications, and achieve more accurate reservoir characterizations in significantly less time.

 

We look forward to continuing to hear your feedback for future RokDoc releases!

Alan Mur
Post by Alan Mur
Sep 17, 2024 3:02:00 PM
Alan Mur has a PhD in Geology with specialization in Geophysics from the University of Pittsburgh and has over a decade of work experience in geology, rock physics, and geophysics. As Product Manager for Quantitative Interpretation (QI) Applications at Ikon Science, he manages all applications related to QI geophysics at Ikon and directs the software development team to evolve Ikon’s software offerings with consideration for the needs of the industry.