Example Data
Download Example Data
Upload Fracture Image
Drag & drop your .mat file here or click to browse
.mat fileYour fracture analysis results will appear here...
About SiFrac-ML
Technology Overview
SiFrac-ML is an advanced application for estimating physical parameters of 3D singular fractures using Machine Learning techniques. Our system leverages a sophisticated Convolutional Neural Network (CNN) model to predict physical parameters from digital fracture data.
Measured Parameters
- Permeability (output[0]) - in millidarcies (mD)
- Mean Aperture (output[1]) - in pixel (μm)
- Surface Roughness (output[2]) - dimensionless
Publication
Our research has been published in the Applied Sciences journal:
Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional FracturesIntellectual Property Number: EC00202462898
How to Use
Prepare Your Image
Ensure your fracture image is 200×200 pixels with 3 color channels (RGB). The image should clearly show the fracture pattern.
Upload the Image
Click the upload area or drag and drop your prepared image file into the designated area.
Analyze the Fracture
Click the "Analyze Fracture Parameters" button to process your image through our deep learning model.
Review Results
View the calculated parameters including permeability, mean aperture, and surface roughness with high accuracy.