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Exemplary Workflow in GeoDict for Digital Rock Analysis

O&G Reservoir
Diagram of an Oil & Gas (O&G) reservoir, illustrating the optimization of production by understanding rock properties

Goal: Understand reservoir properties to optimize oil & gas extraction.

 

Goal

Sampling
Close-up of a rock sample (drill core plug) as an example of sampling for rock analysis

Requirement: Obtain and prepare rock samples (cores, plugs, cuttings).

Rock sample

Imaging
Visualization of 3D micro-CT scan data of a rock sample in GeoDict, the first step in creating a digital rock

Imaging device: Obtain 3D gray value scans of digital rocks (e.g., micro-CT device).

3D Gray Value Scans

Icon: Symbolizing detailed material analysis with GeoDict software
GeoDict
The digital rock analysis workflow with GeoDict, visualized in a µCT sample holder: from the real sample, through import and analysis, to property prediction
Fig. 1 Digital Rock Physics Workflow

Rock properties: Segment & analyse 3D digital rock image, and predict all pore-scale digital rock properties.

3D Rock Image

Use cases
CFD simulation of a digitized rock sample with GeoDict, serving as the basis for upscaling into reservoir simulations

Upscaling: Integrate GeoDict results into reservoir simulation and well-log analysis.

Upscaling

Exemplary Workflow in GeoDict for Composites

Digitalize

Import scans of existing material or model it from scratch to obtain a digital material model.

 

Digital Material

Icon: Symbolizing detailed material analysis with GeoDict software
Analyze

Analyze the material geometry and statistical data to create a digital twin and calculate physical properties.

Statistical Model

Validate & Simulate

Validate the digital twin by comparing digital and physical experiments on the material.

Digital Twin

Icon: Symbolizing material generation and material design with GeoDict software
Design

Modify the digital twin to create a variety of digital prototypes. Calculate and optimize the properties by selectively modifying the parameters.

Digital Prototypes

Next Generation Material

Develop next-generation materials based on digital designs.
The materials of the future are within reach. We help you develop them faster.

Innovative Material

Exemplary Workflow in GeoDict for Foams

Analyze and understand mechanical properties, properties dependent on the geometry, and other physical properties of the material at the microscale. For example, properties of fabrics, semi-finished products, or polymers. Optimize the properties based on the quantitative and qualitative results of simulations. With the GeoDict software, Math2Market offers the complete and versatile solution for digital materials Research & Development.

Digitalize

Import scans of existing material or model it from scratch to obtain a digital material model.

Digital Material

Icon: Symbolizing detailed material analysis with GeoDict software
Analyze

Analyze the material geometry and statistical data to create a digital twin and calculate physical properties.

Statistical Model

Validate & Simulate

Validate the digital twin by comparing digital and physical experiments on the material.

Digital Twin

Icon: Symbolizing material generation and material design with GeoDict software
Design

Modify the digital twin to create a variety of digital prototypes. Calculate and optimize the properties by selectively modifying the parameters.

 

Digital Prototypes

Next Generation Material

Develop next-generation materials based on digital designs.
The materials of the future are within reach. We help you develop them faster.

Innovative Material

Exemplary Workflow in GeoDict for Battery Materials

Digitalize
igital material development with GeoDict: A µCT scan of an electrode is either directly imported for analysis or used as a statistical template to create new materials from scratch

Import scans of existing material or model it from scratch to obtain a digital material model.

Digital Material

Icon: Symbolizing detailed material analysis with GeoDict software
Analyze
From µCT scan to digital twin: GeoDict analyzes statistical material and geometry data from an electrode to create a digital reconstruction

Analyze electrode geometry and statistical data to create a digital twin and calculate transport properties.

Statistical Model

Validate & Simulate
Validation of a digital twin for an electrode: A direct comparison of simulation results and experimental data confirms the high accuracy of the model

Validate the digital twin by comparing digital and physical experiments on the material.

Digital Twin

Icon: Symbolizing material generation and material design with GeoDict software
Design
Digital material design with GeoDict in the structur.e project: Laser structuring of electrodes, simulated for optimization and experimentally validated

Modify the digital twin to create a variety of digital prototypes. Calculate and optimize the properties by selectively modifying the parameters.

Digital Prototypes

Next Generation Material
Li-Ion battery optimization through digital material analysis with GeoDict: Simulating the electrode structure to improve energy density and lifespan

Develop next-generation materials based on digital designs.
The materials of the future are within reach. We help you develop them faster.

Innovative Material