Production monitoring with PI AF integration and Oracle database connectivity.
Industry: Oil & Gas (Upstream)
| Attribute | Value |
|---|---|
| Primary Data Source | PI AF (OSIsoft AVEVA) |
| Database | Oracle, OSIsoft PI System |
| Development | C# custom business logic |
| UI Components | TrendView, DataGrid |
| Operation | 24x7 continuous monitoring |
Challenge: Implement continuous monitoring of post-drilling production wells with real-time visibility into extraction metrics across multiple fields.
Specific pain points:
Impact: Suboptimal production rates, delayed intervention in equipment issues, higher operational costs, and inability to maximize reservoir recovery efficiency leading to significant revenue losses.
| Tier | Component | Capabilities |
|---|---|---|
| Field | Wellhead equipment | Production sensors and controls |
| Integration | PI AF (OSIsoft) | Standardized asset framework data collection |
| Database | Oracle | Large-scale production data management |
| Central | FrameworX Enterprise | Real-time monitoring, calculations, KPIs |
| Clients | TrendView, DataGrid | Time-series analysis, tabular reports |
| Function | Description |
|---|---|
| Real-time Collection | Data from wellhead equipment |
| Automated Calculations | Production KPI generation |
| Trend Analysis | Historical pattern recognition |
| Configurable Alarms | Production anomaly detection |
| Compliance Reporting | Regulatory report generation |
FrameworX capabilities that made this solution possible:
| Capability | Application |
|---|---|
| PI AF Protocol Integration | Native OSIsoft Asset Framework support for standardized data collection |
| Enterprise Database Connectivity | Seamless Oracle integration for large-scale data management |
| C# Development Platform | Flexible framework for custom production calculations |
| Advanced Visualization | TrendView and DataGrid for comprehensive monitoring |
Real-time Visibility — Achieved continuous monitoring across all production fields with immediate access to wellhead performance
Enhanced Reliability — Automated anomaly detection and configurable alarms enable rapid identification of equipment failures
Optimized Performance — Centralized trend analysis and KPI generation maximize reservoir recovery efficiency
Reduced Costs — Streamlined monitoring operations reduced field visits and improved resource allocation
Apache Presentation: Apache-Presentation-Situational-Awareness.pdf
This case demonstrates production well monitoring with PI AF integration and enterprise database connectivity for upstream operations.