Oil Production
43.8 m³/day
Shared simulated well outcome
Baghewala Field · Rajasthan · Well Cluster A
OIL-TWIN AI COMMAND CENTER
Digital twin for well-to-surface optimization of CSS and SRP operations for Baghewala heavy-oil wells.
DEMO MODE · REPRESENTATIVE DATA · NOT LIVE BAGHEWALA FIELD DATA
Closed-loop AI workflow
Sensor Data
2Well Digital Twin
3AI Detection
4Root Cause
5Failure Prediction
6CSS + SRP Simulation
7Recommendation
Reservoir Temperature
70.8°C
Post-CSS thermal state
Crude Viscosity
598 cP
Temperature-driven mobility
SOR
6.36
Steam oil ratio
Energy / barrel
560 kWh
Joint CSS + SRP intensity
Pump Efficiency
80.7%
SRP modeled efficiency
Rod Floating Risk
39.4%
Dynamic rod-load exposure
SIMULATED OUTCOME
Well B-12 thermal-to-production response
Live values come from the same shared CSS + SRP well state.
AI recommendations · highest priority
Joint CSS + SRP control plan
- 1. Reduce SPM5.8 SPM
Lower dynamic rod loading and rod-float exposure.
- 2. Reduce steam volume300 t/cycle
Maintain thermal response with less steam intensity.
- 3. Increase soak time18 hours
Improve heat transfer before lift operation.
SIH Demo Console
Step 1 of 8
Select Baghewala Well B-12
One connected command-center flow
FIELD DATADIGITAL TWINPREDICTIONAI OPTIMIZATIONCSS + SRP CONTROLSIMULATED OUTCOME
The Digital Twin, AI detection, root-cause reasoning, failure prediction, optimization studio, alerts and reports use the representative Well B-12 operating context.
COMMAND CENTER · BEFORE vs AFTER AI
Combined CSS + SRP model comparison
| KPI | Current | AI optimized | Improvement |
|---|---|---|---|
| Oil Production | 43.8 m³/day | 44.6 m³/day | +1.8% |
| SOR | 6.36 t/t | 5.63 t/t | +11.5% |
| Energy / bbl | 560 kWh/bbl | 549 kWh/bbl | +2.0% |
| Rod Floating Risk | 39.4 % | 12.7 % | +67.8% |
| Impact Loading Risk | 38.5 % | 9.7 % | +74.8% |
| Rod Failure Risk | 37 % | 11.1 % | +70.0% |
| Pump Unsetting Risk | 28.6 % | 9.1 % | +68.2% |
| Pump Efficiency | 80.7 % | 88.9 % | +10.2% |
| Steam Consumption | 300 t/cycle | 270 t/cycle | +10.0% |
| Operating Cost | 102600 ₹/day | 94740 ₹/day | +7.7% |
Intelligent alerts
Open alert centerPrototype uses synthetic/simulated data for demonstration. Recommendations require validation against field data and engineering constraints before operational use.