Production & Network Forecasting

From 24-hour gas network demand forecasting to 90-day subsurface production forecasts — MAVEN FORECAST combines weather-driven demand modelling, LP-based network optimisation, and IPR-based reservoir physics into a single browser-based forecasting platform.

MAVEN FORECAST Network & Production Forecasting Console

Forecast With Confidence — From Reservoir to Customer

A unified forecasting suite that links subsurface physics, plant constraints, network hydraulics, and end-customer demand into a single decision-support tool.

Weather-Driven Demand Forecasting

Hourly 24-hour demand forecasts driven by temperature, wind chill, day-type, and seasonal profiles — calibrated against historical consumption for every customer node and aggregated across the network.

Subsurface IPR Modelling

Physics-based Inflow Performance Relationship curves with downhole pressure depletion modelling — predicting well productivity and reservoir behaviour across a rolling 90-day horizon.

90-Day Production Forecast

Daily production forecasts across multiple wells with plant minimum/maximum capacity constraints, automatic well allocation, and configurable shut-in / ramp-back logic.

Multi-Tier Network Optimisation

Linear programming solver across multi-pressure tier networks (NTS, HP, IP, MP, LP) — optimising injection points, balancing flows, and minimising line-pack drift over the forecast horizon.

Quality & Compliance

Continuous tracking of gas-quality parameters against GS(M)R and equivalent regulations — Wobbe Index, calorific value, hydrogen content, ICF, and trace species — with automatic constraint flagging.

Energy Nominations & Reporting

Automated daily and monthly nomination reports, work-order impact analysis, and exportable forecast vs. actual variance reports for operations, planning, and commercial teams.

Under the Hood

ArchitectureFastAPI backend + browser SPA, REST + SignalR streaming
Forecast HorizonsHourly 24-hour (network) · Daily 90-day (production)
OptimisationLP solver (PuLP/SciPy) with quality, capacity & line-pack constraints
Subsurface ModelIPR curves, downhole pressure depletion, well allocation
Demand ModelWeather-coupled regression, day-type profiles, customer base-load
ChartingChart.js v4 with synchronised forecast/actual overlays
DatabaseSQLite (WAL mode) historian and configuration store
ComplianceGS(M)R UK gas-quality parameters, configurable for equivalent regimes
AI AssistantmAvenIt natural language forecast queries & what-if scenarios

Plan Smarter — From Reservoir to Customer

Combine subsurface physics, plant constraints, and network demand into a single forecasting workbench.

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