Drake AI Role

Solutions by Workflow

Geoscientists
Subsurface modeling, missing well log prediction
Petroleum Engineers
Production optimization, lift failure prediction
Data Managers
Facilitates seamless integration of digitized well logs into existing data management systems.
Scalability
Capable of handling large volumes of well log data, making it suitable for extensive projects.
Efficient Processing
Streamlines the digitization process, reducing manual effort and time required.
Enhanced Accuracy
Utilizes artificial intelligence to improve the precision of digitized well log data.
Automated Digitization
Converts scanned well log images into digital data formats suitable for analysis in the petroleum industry.

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.
Domain-Specific Intelligence
Built by energy professionals, for energy professionals—Drake AI understands the complexities of upstream oil and gas.
End-to-End Workflow Integration
Our tools are designed to plug directly into existing subsurface, production, and asset workflows—no disruption, no downtime.
Real-World Impact
Each solution is engineered for measurable results: faster interpretation, improved accuracy, reduced operational risk, and higher ROI.
Modular + Scalable
Choose what you need—whether it's log prediction, seismic enhancement, or production optimization—and scale as you grow.
AI with Context
We combine machine learning with geoscience and engineering expertise to deliver insights that make sense—not just outputs.
User-Centric Design
Delivery
Simple interfaces, fast onboarding, and minimal training needed—get value from day one.
API-Ready + SaaS-Friendly
Delivery
Flexible deployment options to match your infrastructure and procurement preferences.
Trusted by Experts
Validated by field pilots, backed by years of oil & gas experience, and continuously improved with customer feedback.

Drake AI – GPT

  • Drake AI’s ChatGPT-style Generative AI Capabilities offer powerful conversational AI for analyzing and summarizing oil and gas reports.
  • By using advanced language models, Drake AI enables users to interact with their data through natural language queries, providing clear, insightful responses on complex topics such as production performance, well data, and operational reports.
  • This AI-powered functionality allows operators to extract valuable information quickly and intuitively, enhancing decision-making processes and streamlining workflows in the oil and gas industry with real-time, contextually relevant answers.
Dashboard

Go-To-Market Strategy

Drake AI is entering the market with a customer-centric, scalable approach designed to deliver immediate value and long-term impact. Our go-to-market strategy focuses on seamless integration, flexible deployment, and hands-on support to ensure rapid adoption and success.

Pilot Programs: We partner with early adopters through tailored pilot programs that demonstrate Drake AI’s value in real-world environments. These pilots allow us to fine-tune deployments based on customer feedback and build strong case studies for broader rollout.
Integration Support: Drake AI is built to fit easily into existing workflows. Our technical team provides dedicated integration support to ensure smooth, low-friction implementation—whether it's through API endpoints, data pipeline alignment, or custom configurations.
  • Drake AI-OCR
  • Drake AI’s Auto Log Splicer
  • Drake AI – AI Missing Log Predictor
  • Seismic AI Frequency Enhancer
  • Drake AI Production Optimizer
  • Drake AI Artificial Lift Failure Predictor
  • Drake AI OCR
  • Drake GPT

Drake AI – Raster Log AI Digitizer

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.

Drake AI’s Auto Log Splicer

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.

Drake AI – AI Missing Log Predictor

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.

Seismic AI Frequency Enhancer

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.

Drake AI Production Optimizer

Drake AI uses advanced AI/ML algorithms to analyze real-time and historical production data, uncover hidden patterns, and optimize variables like flow rates and pressures, boosting output while reducing costs and downtime.

Drake AI-OCR

Drake AI uses OCR with advanced AI/ML to extract structured data from unstructured well and field reports, enabling fast, accurate digitization for easier analysis, integration, and decision-making.

Drake AI – Raster Log AI Digitizer
(Accelerates Petrophysics Workflows)
Drake AI – AI Log Splicer
(Reduces Manual Effort)
Drake AI – AI Missing Log Predictor
(Increases Log Data Coverage)
Drake AI – Seismic AI Frequency Enhancer
(Unlocks Subtle Features)
Drake AI – AI Production Optimizer
(Improves ROI)
Drake AI – Artificial Lift Failure Predictor
(Prevents Downtime)
Drake AI – OCR
(Improves Data Access)
Drake AI – GPT
(Speeds Up In)
Our Future

Mobile Applications For The Intelligence Revolution

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AI Integrated

Artificial Intelligence For Top-Class Businesses

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Use Cases

Drake AI Use Cases

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1. Prediction Of Missing Well Logs Using AI And ML

Predicting missing well logs in the oil and gas industry is crucial for reservoir characterization and decision-making processes. However incomplete or missing well log datapose significant challenges in accurately assessing subsurface formations.

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2. Raster Well Log Digitization using AI

In the fast-paced world of oil and gas exploration and production (E&P), the quest for efficient, accurate, and scalable well log analysis is more critical than ever. This paper provides an in-depth look at AutoSpliceTM innovative methodology.

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3. Automated Well Log Splicing to Streamline Exploration and Production Operational Efficiency

Raster well log digitization using AI involves converting scanned images of well logs into digital data formats that can be used for analysis in the petroleum industry. Well logs are essential tools in oil and gas exploration and production, providing detailed records.

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Testimonials

What They Say

Senior Geologist, Global Logging Services Company
Drake AI Log Splicer
“Drake AI’s Log Splicer has drastically cut down our correlation time. What used to take hours is now done in minutes, with better continuity across wells.”
Independent Petrophysicist
Drake AI Missing Log Predictor
“The Missing Log Predictor filled gaps in our well logs with surprising accuracy. It saved us from costly re-logging and gave us a more complete model.”
Geophysicist, Independent E&P Firm
Drake AI Seismic Frequency Enhancer
“We’re now seeing subtle features that were invisible before. The Frequency Enhancer gave our vintage data a whole new level of clarity.”
Production Engineer, Upstream Operator
Drake AI Production Optimizer
“With the Production Optimizer, we’ve identified underperforming wells and reallocated resources more efficiently. It’s helped increase our field-wide output.”
Data Manager, Oilfield Services Company
Drake AI OCR
“We digitized decades of scanned reports in days, not months. Drake AI’s OCR turned static files into searchable, usable data we could actually act on.”
Geoscience Data Analyst, Global Oil and Gas Data Management Company
Drake AI Raster Log Digitizer
“The Raster Log Digitizer has been a game-changer. We converted thousands of scanned logs into high-quality digital curves in a fraction of the time—and with better consistency than manual digitizing.”
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