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New RF-DAP 2025.4 | Advanced Characterization & Simulation Milestones

We are proud to announce the release of RF-DAP version 2025.4!

To improve your experience with our product, this release includes several enhancements, new features, and bug fixes. Check out the summary below of what’s new in Catalogue, Special Core Analysis Simulator (SCAS), Fluid Analysis and Simulation Environment (FASE) and Simulation of Thermodynamic Electrolyte Partitioning and Speciation (STEPS) modules.

Catalogue 

Permeability Experiment workflow is now improved to support the Unsteady State (USS) flow process. In the experiment Details, you can now choose between Steady State (SS) and USS (pulse-decay) methods. When USS is selected, results provide dedicated fields for experimental data input and the Jones (1972) Correction Method for more advanced permeability analysis, as shown in Figure 1.

Figure 1 –  USS Permeability experimental data and Jones (1972) correction results.

Sample management has been expanded to better accommodate field data diversity. We now support Sidewall Core and Drilling Cuts rock sample shapes. Also, Extraction Locations have been enhanced with new fields, including Basin, Well API Code, and Well Completion Date, ensuring more robust tracking and categorization of your physical assets.

SCAS

In complex coreflooding scenarios, setting accurate initial conditions is critical for simulation stability and realism. To address this, we have introduced support for Pressure Stages within the coreflooding experiment.

By using pressure as an input unit for flow stages, you can effectively define initial conditions for running Simulations and performing History Matching. This ensures that your calibrated models are built on physically consistent pressure-driven behavior rather than being limited to flow-rate-only constraints, as illustrated in Figure 2.

Figure 2 – Flow stages configuration allowing the selection of pressure as an input option.

FASE

Characterizing heavy components just got more precise. The Gamma Function approach is designed to calculate the molecular weight (Mw) of heavy fractions based on the average molecular weight of the sample. This effectively optimizes the Mw of the heavy fractions to the specific oil sample, better reflecting the oil’s unique fingerprint. Furthermore, while these parameters are automatically calculated, you can also manually adjust them. This flexibility allows for expert fine-tuning to better align the model with specific experimental data or known reservoir trends.

As the component distribution within the same heavy fraction can vary significantly between different crude oils, this customization leads to more realistic Mw values and a more accurate characterization of the plus fraction, as shown in Figure 3.

Figure 3 – Manual tuning of gamma distribution parameters for plus fraction molecular weight.

Building on our existing framework, we have enhanced the interface of gas compositions for Multi-stage Separator and Differential Liberation (DL) experiments for each pressure stage. The system also supports saving the average density and molecular weight for the gaseous phases, as shown in Figure 4.

Figure 4 – Gas composition data entry for Differential Liberation pressure stages.

STEPS

You can now define your streams with even greater detail by saving laboratory measurement values directly within each stream. These metrics serve as a reference during study configuration. The available input options dynamically adjust based on the stream type:

  • Aqueous Streams: Brine Density, TDS, pH, Alkalinity, Electrical Conductivity
  • Gaseous Streams: Gas Saturation
  • Mineral Streams: Porosity
  • Overall Streams: all items listed above
Figure 5 – Overall stream measurements.

Bug fixes and Improvements:

Version 2025.3.1

Catalogue

  • Rental Status for Equipment
  • CAS Registry Number for Chemicals
  • Enhancements to Mercury Injection Capillary Pressure (MICP) Experiment
    • Mercury-Air Terms
    • Import .rpt File
    • Thomeer Plot Integration

FASE

  • Support for New Components in CCS/CCUS EoS
    • HCl
    • SO2
    • MEA
    • DEA
    • NH3
    • MDEA
    • Cl2

SCAS

  • History Matching Using the Kr Table Model

STEPS

  • Advanced Configuration Improvement
    • Mineral Selection Persistence
    • Mineral Search Functionality
  • Disordered Plot Curves

Version 2025.4

Catalogue

– Fixed Data Persistence in Equipment Details
– Fixed Curve Chart in Chromatography Experiment