We are proud to announce the release of RF-DAP version 2026.1!

This release brings several enhancements, new features, and bug fixes to improve your experience. Check out the new features for the Catalogue and Special Core Analysis Simulator (SCAS) modules below.

Catalogue 

We have refined our inventory logic to ensure laboratory precision and safety. The chemical inventory management system introduces:

• Automatic Expiration: The system now automatically monitors container dates. Once a container expires, its status is updated to “Expired,” and its volume is immediately removed from the available stock.
• Unified Batch Withdrawal: To streamline workflows, you can now perform a single withdrawal across multiple containers sharing the same Lot ID. The system automatically manages the deduction — emptying the first container before moving to the next — until the total requested volume is met.
• Capacity Validation: To prevent inventory errors, the system strictly blocks any withdrawal attempt that exceeds the current non-expired volume of a batch.

The Mercury Injection Capillary Pressure (MICP) experiment has received an upgrade. A new integrated Reservoir Fluid drawer displays critical calculated values such as Water-Oil Pc, Transition Zone Height, and Water Cut.

Additionally, we’ve bolstered rock characterization capabilities by adding the Katz-Thompson hydraulic and electric methods, allowing for more robust permeability and conductivity estimations directly from your capillary data.

Figure 1 – Enhanced MICP experiment featuring the new Reservoir Fluid drawer.

The new Electrical Method experiment is now available in Catalogue. This feature allows you to save voltages or resistances for fixed, variable, or calculated current configurations. You can also now run specialized optimization methods for saturation, which provides a comprehensive toolset for resistivity-based characterization.

Figure 2 – Electrical Method experiment results interface and saturation optimization.

Several enhancements improve how samples are categorized and located within the system:

• New Location Metadata: Traceability has been improved with new fields for Basin, Well API Code, and Rig Release Date for Extraction Locations, as well as a Warehouse Code for Lab Locations.
• Expanded Geometries: The rock catalog now supports Sidewall Core and Cutting as primary body shapes.
• Subsample Hierarchy:  A structured hierarchy ensures that child samples maintain strict physical consistency with their parent samples.
• Enhanced Filter Search: A new text-based search has been integrated into the main filters for both HC Fluids and Rock tabs, allowing you to find specific extraction locations in seconds.

Figure 3 – Updated rock sample modal showing new rock shapes.

SCAS

The Porous Plate experiment is now fully integrated into the SCAS interface. Following the same intuitive workflow as our Coreflooding simulations, this feature is easily activated via a specific flag within the Coreflooding configuration.

You can now define specialized plate properties with support for both one-plate and two-plates configurations. This ensures the simulation accurately reflects specific laboratory setups, providing a more realistic representation of capillary pressure and saturation changes.

Figure 4 – Porous Plate configuration interface showing plate property definitions and configuration options.

To better capture long-term fluid behavior, the porous plate simulation supports Equilibrium Times calculations. In this mode, you should define Pressure as a boundary condition. Once the primary simulation concludes, the system automatically calculates the additional time required for the system to reach full equilibrium. This is essential for accurately modeling stabilized states in core analysis.

Figure 5 – Equilibrium Times calculation and pressure boundary condition.

We have expanded the flexibility of our simulation engine with new Kr and Pc Models. New Relative Permeability and Capillary Pressure methods are now available for both coreflooding and centrifuge simulations. Additionally, the Fit Pc Model from Table feature allows users to fit Capillary Pressure model parameters directly from an interpolated Pc table.

The History Matching (HM) module has been enhanced to give you more control over how models are calibrated. You can now choose between two distinct optimization algorithms:

• Nelder-Mead: A robust derivative-free method ideal for complex, non-linear problems.
• SLSQP: A powerful algorithm for constrained optimization that offers high efficiency.

This selection allows you to tailor the convergence behavior and performance of the optimization process based on the specific requirements of your data.

Figure 6 – History Matching module showing the new Optimization Setup.

Bug fixes and Improvements:

Version 2025.4.1

FASE 

– Weights for Fluid Compositions

Version 2025.4.2

SCAS

– Stop button in History Matching Correction

– Navigator Browser History Adjustment