AI-Powered Digital Rock Physics Analysis
Revolutionizing rock parameter estimation with deep learning technology achieving over 95% prediction accuracy
About PETRA
PETRA is a cutting-edge application that revolutionizes rock sample analysis through advanced machine learning. Our platform provides rapid, accurate predictions of critical rock parameters including porosity, permeability, tortuosity, and grain size - all from digital images of rock samples.
Developed by geologists and data scientists, PETRA combines domain expertise with state-of-the-art deep learning to deliver laboratory-grade results in seconds rather than days. Our models have been trained on thousands of diverse rock samples to ensure reliable performance across a wide range of geological formations.
Rapid Analysis
Get results in seconds compared to traditional lab methods that take days or weeks.
AI-Powered
Advanced deep learning models trained (281M Parameter) on thousands of rock samples for maximum accuracy.
Lab Quality
Results comparable to traditional laboratory measurements with MAPE under 5%.
Key Features & Capabilities
Percolation Analysis
Determines whether the rock sample allows fluid flow (percolating) or not (non-percolating) with 98% accuracy.
Permeability Estimation
Predicts permeability in millidarcies (md) for fluid flow analysis with MAPE under 4%.
Porosity Measurement
Calculates both absolute and effective porosity values with laboratory-grade precision.
Tortuosity Analysis
Measures the tortuosity of pore structures with unprecedented accuracy.
Grain Size Estimation
Determines average grain size automatically from sample images.
Scientific Publication
Estimating two-dimensional physical parameters of digital rocks using deep learning
Rock Sample Analysis
Upload image (recommended size: 256×256 pixels) of your rock sample for immediate analysis. Our AI will process the image and provide detailed physical parameters within seconds.
Analysis Results
Upload and analyze a sample to view raw prediction data
User Guide & Applications
How to Use PETRA for Rock Analysis
- Prepare your sample image: Use a high-quality image with clear contrast between grains and pores. Avoid shadows or uneven lighting.
- Upload the image: Drag and drop your image file or click to browse your files. Supported formats: PNG, JPG.
- Start analysis: Click "Analyze Sample" to begin processing. Our AI will evaluate your sample in seconds.
- Review results: The system displays validation status, predicted parameters, and confidence levels.
- Interpret findings: Use the detailed output values for your research, reports, or decision-making.
Best Practices for Optimal Results
Image Quality
Use high-resolution images with consistent lighting and focus. Avoid compression artifacts.
Scale Reference
Include a scale reference when possible for more accurate grain size measurements.
Lighting Conditions
Use diffuse, even lighting to minimize shadows and highlight pore structures.
Industry Applications of PETRA
Petroleum Engineering
Evaluate reservoir quality, estimate hydrocarbon recovery potential, and optimize extraction strategies by analyzing core samples rapidly.
Hydrogeology
Assess aquifer properties, predict water flow characteristics, and evaluate groundwater resources in different geological formations.
Geotechnical Engineering
Determine rock properties for construction projects, tunneling, slope stability analysis, and foundation design.
Geothermal Energy
Evaluate reservoir rocks for heat exchange potential and fluid flow characteristics in geothermal systems.
Academic Research
Accelerate geological research by quickly analyzing large numbers of rock samples for comparative studies.
Mining Industry
Characterize ore samples for mineral processing optimization and tailings management.