Digital Rock Insights for Industry R&D Decision-Making
WIISE Rock offers innovative numerical solutions through high-fidelity digital twins. It uses high-resolution 3D imaging, microstructure modeling, and multi-physics analysis to support high-impact design decisions. It delivers data-backed insights to cut prototyping cost, to accelerate development, and to choose the most effective designs across applications such as filtration, geosciences/digital rock, foams, composites and reactor beds.
Partnership with Petrobras
Our foundational methodology was proven through a strategic joint development with Petrobras, one of the world's leading deepwater operators.
THE PROBLEMS WE SOLVE
Bridging the Gap Between Trial-and-Error and Data-Driven Solution Innovation
By moving from assumption-based experiments to physics-based simulation insights, WIISE Rock empowers research and product teams to design and optimize operational methods with confidence.
Digital Rock Physics & Reservoir Characterization
Traditional core analysis can be time-consuming, destructive, and expensive. WIISE Rock performs digital core analysis on micro-CT and core-CT data to extract detailed pore-scale properties of reservoir rocks. These insights support more accurate reservoir characterization and guide the selection of the most effective Enhanced Oil Recovery (EOR) strategies to maximize hydrocarbon recovery.
Digital Development of Filter Media
Filter design requires balancing efficiency, pressure drop, and lifetime, yet physical prototyping can be slow and costly. WIISE Rock digitally compares material options, predicting initial pressure drop, filtration efficiency, and loading or lifetime performance. This enables design teams to evaluate trade-offs early, reduce the number of physical prototypes, and achieve optimized filter designs at lower development cost.
High-Performance Battery and Fuel-Cell Electrodes
Electrical behavior within porous electrodes is difficult to assess through bulk testing alone. WIISE Rock creates pore-scale digital twins to simulate electric potential across the solid-pore network and determine effective electrical properties. These simulations provide decision-ready insights that help engineering teams compare designs, identify high-resistance bottlenecks, and select materials for more reliable, high-performance battery and fuel-cell electrodes.
Nonwoven Microstructure Optimization
Nonwoven materials are used across many applications, yet comparing different microstructures through testing can be slow and uncertain. WIISE Rock creates digital twins of fiber networks to simulate how permeability and heat transfer change with variations in fiber diameter, orientation, and layering. This approach accelerates the development of higher-performing fabrics, reducing trial-and-error and improving predictability in material performance.
Thermal Pathways in Porous Materials
In porous materials such as filters, foams, composites, and rocks, heat moves along complex pathways that traditional bulk tests often overlook. WIISE Rock uses pore-scale simulations to estimate the effective thermal conductivity of the combined solid and pore network. This provides a more accurate understanding of how materials conduct heat, enabling improved insulation design, optimized thermal management in composites, and more confident material selection.
Chemical Industry & Catalysis
In catalytic reactor design, selecting the right bed packing involves balancing two key factors: minimizing pressure drop while maximizing contact with the active catalytic surface. Physical testing of multiple packing types can be time-consuming and costly. WIISE Rock uses validated digital simulations to compare pellets, beads, and open-cell foams, accurately predicting how each configuration affects flow resistance and surface contact. This allows clients to identify the optimal packing design that delivers higher catalytic performance without increasing energy consumption.
From Scan to Digital Twin
Raw µCT and FIB-SEM data are not directly usable for engineering decisions, and poor segmentation or representativeness can compromise results. WIISE Rock processes 3D image data into a voxel-based digital twin, algorithmically extracting multiple representative elementary volumes (REVs) that capture distinct regions within the sample. The result is a validated, simulation-ready model that accurately reflects the material’s pore structure for confident application in real-world analyses.
Is Your Materials R&D Leaving Innovation on the Table?
Our solution helps you quantify the upside of your specific material project.
Simulation‑backed predictions convert generic material claims into accurate microstructure-dependent results. WIISE Rock reduces development and prototyping costs while enhancing material quality.
Digital twins let you evaluate design strategies and parameter variations quickly, enabling multiple numerical experiments on the same sample and supporting better decisions.
You can test “what-ifs” quickly on a single digital sample and reserve laboratory work for the few best candidates.
Accelerate Your Materials & Methods Innovations
Contact our team to learn how WIISE Rock’s digital material laboratory improves decision-making, reduces cost, provides digital twins from images, optimizes designs across filtration, nonwovens/foams & insulation, geosciences/digital rock, porous reactors and other porous materials.
How Our Services Provide More Accurate Solutions
Key Services.
3D Image Analysis & Digital Twin Creation
Import and segment µCT/FIB-SEM scans via AI models; extract porosity, pore/grain size, and connectivity; identify and validate representative volumes of the sample; deliver a simulation-ready digital twin for the best application.
Microstructure Modeling & Design
Create digital materials (foams, fibers, grains, packed beds) and vary key parameters—thickness, diameter, porosity, gradients—to test “what-if” scenarios quickly.
Multi-Physics Simulation & Prediction
Predict flow and estimate absolute and relative permeability, electrical metrics, bulk-regime diffusion, and effective thermal/electrical conductivity.
Data-Driven Parameter Studies & Optimization
Run rapid, wide-ranging digital comparisons to identify the best design trade-offs, reducing physical prototyping to only a few finalists.
KPI Reporting & Objective Comparison
Deliver vendor-neutral KPIs—permeability, tortuosity, electrical properties, diffusivity, conductivity, filter efficiency & capacity—for clear, data-driven choices.
Consulting, Training & Integration
Provide end-to-end support—from problem framing and data intake to studies and reporting—and integrate results into your workflows (e.g., reports, data tables, exports).
Case Studies and Key Articles
How our solution can enhance production and make the most of smart completions
Digital EOR Design Across Reservoir Types — Polymer vs. Low-Salinity
Evidence-backed selection of pore-scale EOR routes.
Learn more →Filter-Media Optimization — Efficiency x Pressure Drop x Lifetime
Virtual iterations that cut testing time while improving performance.
Learn more →Packed Beds & Porous Reactors — Pellets vs. Open-Cell Foams
Achieving reduced pressure drop without detriment to catalytic conversion or heat-management efficiency.
Learn more →OUR PROCESS
How we Contribute
Our approach creates digital twins from µCT/FIB-SEM scans and parameterized models, varies microstructure parameters, runs targeted simulations—flow/permeability, electrical metrics, diffusion, and thermal/electrical conductivity across filters and porous beds—to deliver comparable KPIs for fast, confident design decisions.
Advanced Microstructure Imaging & Data Acquisition
Import and segment high-resolution 3D material scans (µCT or FIB-SEM), visualize STL/CAD geometry, and process complex 3D models. Build material representations by blending simple building blocks and parameterizing key microstructural features.
Digital Material Modeling & Analysis
Analyze geometric, microstructural, and physical properties to extract statistical descriptors and build a digital twin. Use this twin to generate multiple digital prototypes with adjusted properties, evaluating complex interactions through systematic parameter variation.
Simulation, Prediction & Export
Simulate and predict material behavior under different conditions, iterating prototypes until desired properties are achieved. Export results as high-resolution images or integrate them into external CAE and CFD tools via MATLAB®, Python or Excel interfaces.
Our Deliverables
Decision-focused consulting delivered through a clear, concise report: 3D visuals, microstructure statistics, parameter studies, and quantitative predictions (permeability, electrical properties, diffusivity, conductivity, filter efficiency/pressure drop, hydrocarbon recovery), along with actionable design recommendations.
Applications span filtration, nonwovens and foams, insulation, digital rock/geosciences, porous reactors, and other porous materials.
Expert Guidance Throughout the Process
During our consulting service, you’ll have direct access to our technical team, ensuring alignment, clarification of results, and support until your objectives are met.
Decision-Focused Technical Reports
Each report is tailored made to your specific case, delivering detailed KPIs and performance parameters that support confident decision-making.
Rodrigo Dias
CEO - WIISE
« The development of our services covers several areas of expertise - computer simulations, optimization, artificial intelligence and software engineering. For WIISE, it is a unique opportunity to contribute to the creation of both a great impact and high technological solutions. »
THE PROBLEMS WE SOLVE
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