AI-powered well log digitization software

Self-Service Software for Legacy Well Logs

TifLAS is a browser-based SaaS workspace for converting scanned well log images into structured LAS files with AI-assisted extraction, review tools, and export controls.

Upload TIFF, PNG, JPG, or PDF logs, review the extraction, correct difficult curves, and export LAS data from your account.

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AI-assisted workflows for TIFF, PNG, and PDF well log images — with tools to review and correct output when needed.

Unlock Historical Well Log Data with AI

Millions of legacy well logs still exist only as scanned images. TifLAS uses AI-assisted extraction to recover curve information, depth structure, and log layout from those scans and convert them into usable LAS output.

The Technical Problem

Legacy logs stored as paper, microfilm, TIFF, PNG, or PDF images cannot be used directly in modern petrophysical and subsurface software.

Data Locked in Image Form: Curve data exists only as plotted graphics against depth, making it difficult to search, analyze, or integrate into digital workflows.
AI Speeds Up Recovery: Instead of relying entirely on manual tracing, TifLAS uses AI to identify curves, reconstruct depth, and accelerate digitization, while still giving users tools to fix difficult sections when needed.

The AI-Powered TifLAS Solution

TifLAS combines AI, computer vision, and reconstruction workflows to convert scanned well log images into structured LAS-ready data.

AI-assisted extraction for faster digitization
Built for modern petrophysical and subsurface workflows
Manual correction tools for edge cases and quality control
Easier integration into geological and data management systems

TifLAS product demo

From scanned log to structured output

Header extraction, AI curve tracing, validation, and LAS export — step by step.

Well Name

Mesa Ridge Unit #12

Field

Red Basin

Scale

1 in = 100 ft

Loading scanned log…

Preparing image, grid, and scan header

Header Extraction

Scanned text mapped into fields

Validation & Export

Waiting for traced curves

Validation will begin after curve tracing completes.

How TifLAS Uses AI to Convert Image Logs into LAS

TifLAS processes each log through an AI-assisted workflow designed to improve extraction quality and produce usable LAS output, while keeping review and correction tools available when the image is difficult or ambiguous.

1. Image Preparation

De-skewing, contrast correction, and layout cleanup prepare the log for AI-assisted extraction.

2. Depth Scale Reconstruction

AI-assisted detection helps rebuild depth reference from markers, ticks, and grid structure.

3. Curve Identification

AI and computer vision locate and isolate plotted log curves from the scanned image.

4. Curve Digitization

Extracted curves are translated into numerical depth-value data.

5. Review, Correction, and LAS Export

Users can review and fix difficult areas with built-in tools before exporting standard LAS files.

Why Teams Choose TifLAS

AI-powered extraction with practical human control

Key Advantages

Recover Value from Legacy Data

Bring historical well log archives back into modern digital workflows without re-creating data from scratch.

AI That Reduces Manual Labor

TifLAS uses AI to reduce the time spent tracing, scaling, and cleaning up legacy logs.

Correction Tools When AI Needs Help

Some logs are messy, faded, distorted, or unusual. TifLAS gives users tools to review and fix output when the AI needs assistance.

Human Review Where It Matters

TifLAS uses AI to accelerate extraction and structuring while keeping people involved in review, correction, interpretation, and final quality control.

AI-Assisted System Architecture

TifLAS is built as a modular processing pipeline that combines image preprocessing, AI-assisted curve and track detection, depth reconstruction and scaling, and LAS generation and validation.

Image preprocessing and cleanup
Computer vision for curve and track detection
Depth reconstruction and scaling
LAS generation and validation

Market Opportunity

Oil and gas companies hold large archives of legacy log images that still contain valuable subsurface information. AI-assisted digitization makes it more practical to convert those records into usable LAS data, improve interpretation, and reuse historical assets at scale.