Drake AI for Geoscientists

Drake AI - Raster Log AI Digitizer

The Problem Statement:

Many well logs exist only as raster images, making them hard to analyze, digitize, and integrate with modern geoscience tools, limiting their value for reservoir analysis and decision-making.

Drake AI uses OCR and deep learning to digitize raster well logs, extracting curves and text into structured formats. This enables fast, accurate analysis and seamless integration with modern geoscience platforms.

How Drake AI is Better?

Drake AI delivers high-accuracy log digitization with minimal manual effort, using advanced OCR and DL tuned for geological data. Unlike generic OCR tools, it preserves curve fidelity and metadata, offering faster turnaround and better integration with subsurface workflows.

Drake AI for Geoscientists

Drake AI - Log Splicer

The Problem Statement

Manual well log splicing is time-consuming and error-prone, making it hard to merge log segments accurately for seamless analysis and interpretation across depths and tool runs.

The Solution

Drake AI automates well log splicing using AI to detect overlaps, align depth scales, and merge segments accurately. This ensures consistent, high-quality logs for faster interpretation and reduces manual workload.

How Drake AI is Better?

Drake AI's auto-splicing uses intelligent alignment and context-aware stitching, reducing errors from tool depth mismatches. Unlike rule-based tools, its AI adapts to diverse log formats, delivering faster, more accurate results with minimal human input.

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Drake AI for Geoscientists

Drake AI - AI Missing Log Predictor

The Problem Statement

Many oil and gas wells have missing log data due to tool failures or historical gaps, limiting reservoir analysis, well planning, and accurate subsurface modeling.

The Solution

Drake AI uses AI and ML models trained on regional log data to predict missing curves with high accuracy, enabling better reservoir characterization and decision-making even when original logs are incomplete or absent.

How Drake AI is Better?

Drake AI outperforms competitors by using tailored ML models trained on regional geology, delivering more accurate curve predictions. Its adaptive approach reduces bias and ensures reliable results across diverse well types.

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Drake AI for Geoscientists

Drake AI - Seismic AI Frequency Enhancer

The Problem Statement

Seismic data often lacks low or high frequencies due to acquisition limits or noise, reducing resolution and accuracy in subsurface imaging and interpretation..

The Solution

Drake AI uses deep learning and CNNs to reconstruct missing seismic frequencies by learning spatial patterns and spectral relationships, enhancing resolution and improving subsurface imaging accuracy.

How Drake AI is Better?

Drake AI outperforms competitors by using custom CNN architectures trained on diverse seismic datasets, enabling accurate frequency reconstruction with minimal artifacts and superior resolution in complex geological settings.

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