Skip to content
GeoVision · Geological Data Analytics

AI-Powered Drilling Data Analysis

GeoVision is an advanced data analytics platform that analyzes geological and drilling data with AI algorithms, enabling faster, more accurate decisions in mining and underground resource projects. Analyzes large-scale drilling data to build more accurate geological models and accelerate exploration cycles.

Data analysis challenges

Data analysis challenges in underground resource projects.

Mining and underground resource projects produce massive amounts of geological and drilling data. Accurate analysis of this data is critical for project success.

Drilling data scattered across different systems.

Data analysis depends heavily on manual processes.

Building geological models takes time.

Human error risk persists in data interpretation.

Exploration cycles run long and costly.

Solution flow

How GeoVision solves it.

Analyzes drilling data and geological data sets with AI algorithms; builds data-driven exploration and planning workflows.

01

Data analysis.

Analyzes drilling data.

02

Pattern detection.

Identifies geological patterns.

03

Decision support.

Supports data-driven decision-making.

04

Planning.

Strengthens exploration and production planning.

Use cases

Field-proven application areas.

From mineral exploration to reserve estimation, operational planning to investment decisions — creates value end to end.

Accelerating mineral exploration.

Analyzes drilling data to flag potential mining areas faster.

  • Exploration cycles accelerate.
  • Potential reserve areas flagged fast.
  • Exploration costs drop.

Geological modeling.

Analyzes large data sets to support construction of geological models.

  • Underground structures modeled more accurately.
  • Data interpretation accelerates.
  • Model accuracy improves.

Drilling data analysis.

Analyzes drilling data to surface relationships across different data sets.

  • Drilling data analyzed fast.
  • Data quality improves.
  • Decision processes strengthened.

Reserve estimation.

Supports estimation of potential reserves with data analytics.

  • Reserve estimates more accurate.
  • Investment decisions strengthened.
  • Project planning improves.

Operational planning.

Uses analysis results to support operational planning on the mine site.

  • Field operations planned efficiently.
  • Resource usage optimized.
  • Operating costs cut.

Investment decision support.

Helps investment decisions get made more reliably with data-driven analysis.

  • Risks analyzed better.
  • Data-driven decisions strengthened.
  • Project success rate improved.
Platform capabilities

Core capabilities for geological data.

AI data analysis, big data processing, visualization and enterprise integration.

AI engine

AI-powered data analysis.

Analyzes large data sets to surface patterns across geological data. Analysis cycles accelerate; accuracy improves.

  • Drilling data analysis.
  • Geological data modeling.
  • Data pattern analysis.
DATA ANALYSIS
Data layer

Big data processing.

Analyzes high-volume geological data sets fast.

  • Processing drilling data sets.
  • Data integration.
  • Analytical data modeling.
DATA SETS
ANALYSIS
Visualization

Data visualization and dashboards.

Delivers analysis results through visual dashboards and data panels.

  • Geological data visualization.
  • Analytics dashboards.
  • Performance reports.
DRILLING
248
ACCURACY
94%
GEOLOGICAL ANALYSIS
System integration

Integration with enterprise data systems.

Works alongside existing data platforms and geological data systems.

  • Data platform integration.
  • Analytics system integration.
  • Enterprise data management.
Data platform
Analytics system
Data management
How it works

How GeoVision works.

A five-step flow that runs from data upload to continuous learning.

01

Data upload.

Drilling and geological data sets uploaded to the platform.

02

AI analysis.

Algorithms analyze data sets to surface geological patterns.

03

Modeling and prediction.

Platform produces reserve and potential area estimates with data analytics.

04

Dashboard and reporting.

Analysis results delivered as visual dashboards and reports.

05

Continuous learning.

Algorithms self-improve as new data arrives; analyses update.

Audience & benefits

Who it's for, what it delivers.

From mining companies to underground resource investors — makes exploration and modeling data-driven.

Who it's for.

  • Mining companies.
  • Geology and exploration teams.
  • Energy and natural-resource companies.
  • Investors running underground resource projects.
  • Government bodies and research institutions.

Benefits.

  • Accelerates exploration cycles.
  • Improves geological analysis accuracy.
  • Strengthens investment decisions.
  • Enables data-driven planning.
  • Cuts operating costs.

Make faster decisions with underground data analytics.

Use GeoVision to analyze your drilling and geological data with AI and accelerate your exploration cycles.