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Converting Legacy Well Log Images into Structured Subsurface Data

TifLAS is a software platform designed to convert scanned well log images into structured LAS files that can be used in modern subsurface analysis workflows.

7-day free trial, then $99/month or $999/year.

Unlock Historical Data

Millions of historic well logs exist only as scanned images. TifLAS addresses this problem by automatically extracting curve data, depth information, and track structure.

The Technical Problem

Legacy logs stored as Paper, Microfilm, or Scanned images (TIFF, PNG, PDF) cannot be directly used by petrophysical software.

Data Lock-in

Data exists only as graphical curves plotted against depth, making it inaccessible for numerical analysis.

Manual Digitization

Traditional recovery requires manual curve tracing, taking hours per log and remaining expensive.

Technical Workflow

The TifLAS processing pipeline consists of several advanced stages to ensure accuracy.

1. Image Preprocessing

De-skewing, contrast normalization, and grid detection.

2. Depth Scale Detection

Reconstructing the depth scale from markers and grid lines.

3. Curve Detection

Identifying and isolating plotted curves using CV.

4. Curve Digitization

Sampling and translating curves into numerical values.

5. LAS Reconstruction

Structuring extracted data into standard LAS files.

Why TifLAS?

Key Advantages & Market Opportunity

Key Advantages

Recover Value from Legacy Data

Make large archives of historical well logs usable again in modern digital workflows.

Reduce Manual Digitization

Automated curve extraction significantly reduces the labor required to digitize logs.

Improve Data Accessibility

Structured LAS files can be indexed, searched, and integrated into geological databases.

Human expertise stays in the loop.

TifLAS uses automation to speed up extraction, tracing, and structuring, while keeping people involved in review, correction, interpretation, and final quality control.

System Architecture

TifLAS is designed as a modular processing pipeline that integrates several technologies:

  • Image processing algorithms
  • Computer vision for curve detection
  • Data reconstruction and scaling
  • LAS file generation and validation

Market Opportunity

Oil and gas companies possess vast archives of legacy log images. Digitizing this data represents a major opportunity to unlock previously inaccessible subsurface information and improve reservoir understanding without drilling new wells.