Case Study: Oil & Gas Architecture
Closed-Loop Production & Artificial Lift Optimization
Deploying real-time edge computing, predictive digital twins, and automated closed-loop speed workflows to mitigate asset downtime, reduce workover stress, and maximize mature well field profitability.
The Problem
Our client managed an aging fleet of mature wells experiencing volatile production metrics and soaring workover costs:
- High Unplanned Asset Downtime:
Sudden downhole rod pump component failures and gas interference issues caused unexpected production halts across 150 active wells. - Inefficient Artificial Lift Execution:
Field operators adjusted pump speeds manually based on lagging surface data logs, leading to mechanical stress, fluid pounding, and wasted electrical energy. - Siloed Production Surveillance:
Disconnected data tracking streams between field telemetry, fluid analytics, and reservoir models delayed root-cause analysis of asset failures for days.
The Technology Stack
LADFAH deployed a real-time, edge-compatible production monitoring network integrating:
- Computer Vision (CV) Edge Analytics:
Real-time visual monitoring tracking physical rig floor conditions, paired with automated downhole surface dynamometer card analysis. - Predictive Twins (Reservoir-to-Surface Modeling):
Live digital twins tracking real-time fluid dynamics, multi-phase fluid calculations, and surface system constraints. - Automated Workflow Automation Layer:
Intelligent routing algorithms that automated field worker notifications and scheduled critical repairs instantly.
The Solution: Intelligent Production Surveillance System
LADFAH installed a secure edge-and-cloud automated software platform connected directly to Summit’s SCADA infrastructure and field sensors.
- 1. Autonomous Lift Adjustment:
The machine learning pipeline tracked high-frequency data from active rod pumps. It automatically adjusted stroke speeds to prevent fluid pounding while keeping the system at peak volumetric efficiency. - 2. Predictive Failure Tracking:
The Predictive Twin cross-examined live downhole stress logs with historical signature trends, catching downhole part friction, leaks, and valve fatigue early. - 3. Centralized Asset Dashboard:
Consolidated multi-well telemetry, regular well tests, and automated asset alerts onto a single screen interface for regional operators.
The Concrete Results
$2.5M
Financial Impact:
Saved an estimated $2.5 Million annually across the active asset fleet by entirely wiping out premature tool wear and emergency workover rig costs.
Saved an estimated $2.5 Million annually across the active asset fleet by entirely wiping out premature tool wear and emergency workover rig costs.
35%
NPT Reduction:
Achieved a 35% reduction in unplanned production downtime through automated early-warning alerts and preventative maintenance scheduling.
Achieved a 35% reduction in unplanned production downtime through automated early-warning alerts and preventative maintenance scheduling.
80%
Workforce Efficiency:
Reduced manual data collection and report compilation by 80%, freeing engineering teams to focus strictly on high-level asset strategy.
Reduced manual data collection and report compilation by 80%, freeing engineering teams to focus strictly on high-level asset strategy.
12%
Production Increase:
Boosted average multi-well production efficiency by 12% across the optimized asset campaign.
Boosted average multi-well production efficiency by 12% across the optimized asset campaign.
services : Artificial Lift Optimization
client : Summit Energy
location : North Dakota, USA
completed date : 20-12-2025
| Operational Vector |
Drilling Optimization |
Seismic Interpretation |
Production Lift |
Smart Completions |
|---|---|---|---|---|
| Asset Environment | Onshore Horizontal Pad | Deepwater Marine Shelf | Mature Multi-Well Fleet | Multi-Well Hydraulic Frac |
| Primary AI Stack | High-Freq ML / Predictive Twins | 3D Volumetric CNN / Document AI | CV Edge Analytics / SCADA Twins | Hydraulic Frac Twins / ML Pipelines |
| Friction Bottleneck | Catastrophic stick-slip & manual mud logging delays. | Sub-salt signal masking & slow manual horizons. | Unplanned rod pump failures & fluid pounding. | Frac hit interference & manual stage design lag. |
| LADFAH Solution | Closed-loop autonomous parameter controls. | Automated horizon tracking & sub-salt filters. | Autonomous lift speed adjustments via edge. | Real-time frac-hit prevention & auto-stage tuning. |
| NPT / Downtime | 35% Reduction in NPT | 35% Increase in NPT Avoidance | 35% Reduction in Asset Downtime | 35% Reduction in Frac-Hit NPT |
| Operational Velocity | 42% Increase in ROP | 15x Accelerated Timelines | 80% Reduced Manual Reporting | 15x Accelerated Decision Speeds |
| Financial Impact | $2.5M Saved Annually | 40% Faster Subsurface Access | $2.5M Saved Annually | 80% Wiped Out Data Entry Lag |
| Read Report | View Case | Review Lift | Open Case |
Drilling Optimization
Environment: Onshore Horizontal Pad
AI Stack: High-Freq ML / Predictive Twins
Bottleneck: Catastrophic stick-slip & manual mud logging delays.
Solution: Closed-loop autonomous parameter controls.
NPT: 35% Reduction
Velocity: +42% ROP
Financial: $2.5M Saved
Seismic Interpretation
Environment: Deepwater Marine Shelf
AI Stack: 3D Volumetric CNN / Document AI
Bottleneck: Sub-salt signal masking & slow manual horizons.
Solution: Automated horizon tracking & sub-salt filters.
NPT Avoidance: 35% Increase
Velocity: 15x Faster
Financial: 40% Faster Access
Production Lift
Environment: Mature Multi-Well Fleet
AI Stack: CV Edge Analytics / SCADA Twins
Bottleneck: Unplanned rod pump failures & fluid pounding.
Solution: Autonomous lift speed adjustments via edge.
Downtime: 35% Reduction
Velocity: 80% Less Reporting
Financial: $2.5M Saved
Smart Completions
Environment: Multi-Well Hydraulic Frac
AI Stack: Hydraulic Frac Twins / ML Pipelines
Bottleneck: Frac hit interference & manual stage design lag.
Solution: Real-time frac-hit prevention & auto-stage tuning.
Frac NPT: 35% Reduction
Velocity: 15x Faster Decisions
Financial: 80% Less Entry Lag