iFixLog empowers geoscientists with robust, machine learning-based workflows for repairing well log data, predicting petrophysical properties, and classifying facies — all from a secure, web-based platform. Designed for professionals working with subsurface data, iFixLog brings transparency, reproducibility, and efficiency to your interpretation process.
Use supervised learning models to intelligently fill missing or corrupted well log curves. Reduce uncertainty in interpretation by reconstructing reliable log data.
Predict key rock and fluid properties such as porosity, permeability, and water saturation using a variety of regression models trained on your own labeled data.
Classify depositional facies from labeled datasets using machine learning techniques like decision trees, ensemble methods, and more.
Apply unsupervised clustering algorithms (e.g., k-means, DBSCAN) to discover natural geological patterns in your log data — without prior labels.
Visualize logs, facies, predictions, and feature importance with Matplotlib, Seaborn, and Plotly. Interactive plots help support data-driven decision-making.
Generate downloadable reports containing results, charts, interpretations, and metadata — ideal for project documentation and communication.
Access curated petrophysical learning resources and interpretation guidelines directly within the platform.
No data is stored permanently. All computations are done in-memory. iFixLog ensures your sensitive well data stays safe and confidential.
Upload and preview log data directly from CSV or LAS files using Lasio and Pandas.
Evaluate log completeness, visualize key features, and prepare data for ML workflows.
Select from a suite of tools for repair, prediction, or classification based on your data and objective.
Export results, visualizations, and insights in a structured report format.
Our advanced machine learning algorithms can intelligently reconstruct missing or corrupted well log data, providing reliable estimates for interpretation.
Predict critical petrophysical properties using machine learning models trained on your labeled datasets.
Classify depositional facies using both supervised and unsupervised machine learning approaches for comprehensive geological interpretation.
Core functionality with no cost
Pay only for what you need
Built with modern, reliable tools for professional geoscience workflows
Modern Python web framework for rapid development
Industry-standard machine learning frameworks
Powerful data manipulation and numerical computing
Interactive and static plotting libraries
Specialized library for well log data formats
Reliable relational database management
Secure payment processing and billing
No permanent data storage for privacy protection
iFixLog was created by geoscientists, for geoscientists. It combines the power of machine learning with domain-specific knowledge to enhance the quality and efficiency of subsurface interpretation.
Start using iFixLog and transform your petrophysical workflows with the power of machine learning.