Well Production Dashboard

When to Use

• Interactive well production dashboards
• Real-time well monitoring and alerts
• Production decline analysis and forecasting
• Field-level aggregation and comparison
• Well economic metrics (NPV, decline rates, ROI)
• Data quality verification integration
• Multi-format exports (PDF, Excel, JSON)
• REST API for dashboard data access

Prerequisites

• Python environment with worldenergydata package installed
• BSEE well production data
• Flask (included in dependencies) for API features

Python API

Dashboard Initialization

from worldenergydata.well_production_dashboard import (
    WellProductionDashboard,
    WellDashboardConfig,
    WellMetrics,
    FieldAggregator,
    DashboardAPI,
    DashboardCLI
)

See sub-skills for full details.

REST API Integration

from worldenergydata.well_production_dashboard import DashboardAPI

api = DashboardAPI(dashboard)
api.run(host='0.0.0.0', port=5000, debug=False)

# Endpoints:
# GET /api/health         - Health check
# GET /api/wells          - List all wells
# GET /api/wells/<id>     - Get specific well data
# GET /api/dashboard/data - Get complete dashboard data

Key Classes

Related Skills

• bsee-data-extractor - BSEE data loading
• npv-analyzer - Economic analysis
• fdas-economics - Field development economics
• energy-data-visualizer - Visualizations

References

• Flask REST API Documentation
• Plotly Interactive Charts
• BSEE Data Standards

Sub-Skills

• Best Practices
• 1. Basic Well Dashboard (+3)
• Command Line Interface
• REST API Endpoints
• Export Formats
• Configuration Options