GiologiQ: Reducing Well-Drilling Risk with Real-Time Digital Twin and AI Visualization
Brain Station 23 partnered with GiologiQ to build an immersive, AI-enhanced 3D visualization platform that reduces engineering analysis from weeks to minutes and minimizes costly drilling risks.
Platforms
Web, Desktop
Technology Used
Unity, .NET, Azure Functions, Azure Cosmos DB, Angular, AI Tools (GitHub Copilot, Aikido)
Industry
Oil & Gas
Tags
Digital Twin, 3D Visualization, AI Solutions, Energy Sector, Cloud Service
Overview
GiologiQ, an advanced platform for oil & gas well engineering, sought to solve the inefficiencies of handling massive volumes of scattered drilling reports and geological data. Brain Station 23 partnered with GiologiQ to develop a unified digital twin solution utilizing high-performance 3D visualization and AI-accelerated insights. This collaboration transformed fragmented documents into a centralized operational model, drastically reducing manual engineering effort.
Business Challenges
- Engineering teams spent days manually analyzing fragmented data across PDFs, logs, and spreadsheets.
- Lack of unified visualization made understanding complex well structures slow and error-prone.
- High risk of costly drilling mistakes due to poor real-time foresight and hazard simulation.
- Operational decisions were delayed by complex data preparation and manual reporting cycles.
- Need to handle large, multi-well datasets while maintaining fast rendering performance.
Solution Provided
Centralized Digital Twin: Combined all drilling data into one unified operational model.
Interactive 3D Visualization: Allowed exploration of wellbores, depth structures, and geological relationships.
Automated Contextualization: Transformed unstructured drilling reports into structured insights.
AI Insight Engine: Speed-up insight generation with fast summaries and filtered drilling intelligence.
Risk Simulation: Helped identify potential hazards before operations began.
Training Module: Provided hands-on learning using real well data to reduce onboarding time.
Predictive AI Analysis: Accelerated engineering decisions using AI summaries and anomaly detection.
Impact
- Drastically reduced engineering analysis time from 1 week to just 1 minute.
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12M+ NOK saved per well by avoiding drilling mistakes.
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0% guesswork through precise digital twin insights.
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Faster risk foresight and decision-making.
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Lower engineering overhead and manual interpretation effort.
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Reduced operational delays across drilling teams.
Transform Energy Operations with Digital Twins
Looking to empower your engineering teams with secure, immersive digital twin solutions? Connect with Brain Station 23 to explore how our expertise in 3D visualization and AI can drive your digital transformation and optimize operational accuracy.
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