Problem Statement
Customers intend to deploy data-driven approach for managing the Gas Pipeline Operation and inventory.
The objective is to use advanced analytic and reporting technologies to provide an easy-to-use interface for the team, i.e., Natural Gas Management Centre.
Value Proposition
Line Pack (Inventory) Prediction: Predict line pack inventory
- Perform what-if analysis on any of the input parameters to analyze the impact on output parameters
- Send alerts, in advance, for expected disruptions and variations for a given pipeline section o Provide gas sourcing or input operational parameter recommendations to maintain optimum inventory (line pack).
- Time series analysis of pipeline hydraulics: Based on data of the pipeline parameters (Pressure, Flow, etc.) of the entire integrated network.
- Gas reconciliation o Short-term and long-term gas requirements based on customer requirements.
- Send alerts for possible disruptions/deviations and recommendations to operate pipelines at optimum levels
Solution Strategy
IoT Streaming Data Management
- •Data Integration of IoT and IED sensor tags across various SCADA Sites
- •Centralized Database JSON API Integration
Supply Chain Modelling
- •Time Series Models (like ARIMA, ARMA, ESM)
- •Real-Time Line pack Inventory Prediction (What-if Analysis)
- •Gas Reconciliation & Forecasting
Alerting System
- •SMS and Email Alerting System for -
- •KPI Violations
- •Device Malfunction
