Ore.node (beta version)

Ore.node is a 3D, node-based geological and structural logging platform that brings real-time visualization and analysis directly to drilling and core logging facilities

Real-Time 3D Visualization

View geological and structural data as logging progresses

Integrated Logging

Combine general and structural logging in one environment

Structural Spatial Awareness™

Understand structural relationships directly in their desurveyed 3D context

Earlier Decision Support

Validate targets and drilling interpretations before data reaches the final model

Ore.node interface with detachable viewports for 3D visualization, stereonet analysis, node-based workflows, tables, and Tau plots. Data is dynamically integrated across all views.

A Node-Based Workflow Environment

Ore.node replaces traditional menu-driven workflows with a persistent, node-based environment. Each node is a reusable computational block that performs a specific operation-loading, processing, visualizing, or exporting data.

Nodes are connected through input and output ports, creating a transparent and reproducible processing pipeline in which data and results flow from one operation to the next.

Unlike temporary menus or commands, nodes remain visible and configurable within the workflow, allowing users to review, modify, and reuse every processing step. Related nodes can also be grouped into Supernodes, simplifying complex workflows while preserving the underlying processing logic.

You Can:

  • Combine related operations into reusable containers
  • Expose key parameters through configurable controls
  • Reduce visual complexity without hiding processing logic
  • Support repeated workflows across projects
The image shows a Supernode for loading, processing, and visualizing borehole trace data with real-time desurvey. The right image shows the same Supernode collapsed, exposing key parameter controls.

Structural VectoringTM Logging (SVL)

A Complete Structural Logging and Quality Optimization Workflow

From drill rig to 3D modeling, Structural Vectoring integrates data collection, quality optimization, and geological interpretation into a single workflow powered by Ore.node.

SVL workflow showing the different working domains with gates to segment QA/QC/QO. It provides a solid bridge for data transfer amongst domains.

SVL replaces the limitations of traditional alpha-beta-gamma measurements with a workflow that treats drill core as a geological outcrop

  • Reads oriented and non-oriented core
  • Handles full, half and quarter core
  • Supports on- and off-plane lineations
  • Captures fold vergence, facing, flow sense, way-up and kinematics
  • Fast, consistent and field-proven
Augmented Reality Immersive structural data reader

Quality Optimization™

Improve Structural Data Before It Reaches the Model

Quality Optimization™ (QO) is Vektore’s integrated technology for improving the reliability, consistency, and geological value of structural datasets before they are used for interpretation and 3D modelling.

Integrated into Ore.node, QO goes beyond conventional data validation. It identifies orientation inconsistencies, recovers useful information from non-oriented and quasi-oriented core, and helps geologists build more reliable structural interpretations before modelling and resource evaluation.

Structural Convergence Module

Structural Convergence reconciles mismatches between adjacent core-orientation intervals using interlocking-angle relationships. It converges reference lines into an internally consistent orientation and repositions the associated structural data accordingly.

  • Corrects reference-line mismatches
  • Improves consistency between orientation runs
  • Repositions structural measurements automatically
  • Processes data in real time within Ore.node

Structural Inversion Module

Structural Inversion estimates the most likely orientation of structural features from non-oriented or quasi-oriented core. It combines geological constraints, 3D stereonet analysis, and eigen-statistics to generate plausible structural scenarios.

  • Recovers value from non-oriented core
  • Supports early target-architecture evaluation
  • Helps guide drilling decisions
  • Creates geometrically consistent structural scenarios

Why Quality Optimization Matters

A structural measurement can be locally accurate while globally incorrect. Core-orientation mismatches, incomplete reference information, and non-oriented intervals can introduce uncertainty that propagates into structural interpretation and 3D models.

Quality Optimization helps identify and reduce these uncertainties before the data advances to modeling and decision-making.

Improve Reliability

Reduce inconsistencies within structural datasets.

Recover Information

Extract useful structural insight from non-oriented intervals.

Support Earlier Decisions

Evaluate target architecture while drilling is still in progress.

Protect the Model

Deliver more dependable inputs for 3D interpretation.

Inspiring change. Advancing discovery.

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