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Smart Pad Layout Optimizer

Develop a web application that uses real-world drone imagery to create intelligent pad layouts for hydraulic fracturing operations. The app should enable operators to optimize equipment placement while maintaining safety zones and operational efficiency.

Core Requirements

1. Image Processing & Georeferencing

  • Input: High-resolution drone imagery of completion pads
  • Coordinate Transformation: Implement robust translation between image pixel coordinates and real-world GPS coordinates (lat/long)
  • Georeferencing Methods: Support multiple approaches including:
    • Ground control points (GCPs) marked in the field
    • GPS metadata from drone imagery
    • Manual calibration using known reference points

2. Equipment Library & Placement

Required Equipment Types:

  • Frac pumps (various horsepower ratings)
  • Blenders and chemical additive units
  • Sand storage and conveyor systems
  • Data acquisition trailers
  • Power generation units
  • Support vehicles and crew areas
  • Wireline equipment

Features:

  • Drag-and-drop equipment placement interface
  • Equipment-specific footprint dimensions
  • Automatic orientation alignment options
  • Collision detection between equipment

3. Safety & Operational Zones

Customizable Zone Types:

  • Safety exclusion zones (personnel restrictions)
  • Equipment operational clearances
  • High-pressure line routing corridors
  • Emergency evacuation paths
  • Environmental buffer zones (if applicable)

Zone Customization:

  • Color-coded zone types
  • Overlap detection and warnings

4. Real-World Integration

  • GPS Coordinate Export: Generate precise lat/long coordinates for each equipment piece
  • Change Detection: Compare planned vs. actual layouts using follow-up drone imagery

Technical Specifications

Data Formats

  • Input: JPEG/TIFF drone imagery with GPS metadata, GeoTIFF format preferred
  • Output: KML/KMZ files, CSV coordinate lists, PDF layout reports

Performance Targets

  • Image processing: <10 seconds for imagery
  • Real-time coordinate translation during equipment placement
  • Support for pad images up to 50MB

Programming

  • This project will be a single-page web application built using Angular or React.
  • Back-end services are not required but maybe used.

Provided Resources

  • Sample drone imagery of actual completion pads are available in the drone_scans directory. Each example directory (e.g., example-1) contains:
    • actual: The actual layout of the pad once the equipment was moved to the job site.
    • plan: The planned layout of the pad from an engineer for reference on how a job site is laid out.
    • planning: The planning image for the pad well before the job starts.
  • Equipment specification sheets (dimensions, clearance requirements)
  • GPS coordinates for sample images
  • Mentorship from completion engineers

Bonus Features

  • AI-powered optimal layout suggestions
  • 3D visualization capabilities

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