Democratizing Production Forecasting for Geologists and Asset Teams
At IMAGE 2024, AlphaX CEO Sammy Haroon presented a transformative approach to asset decision-making: Unified Asset Intelligence —an AI platform that makes production forecasting accessible to everyone on the asset team, not just specialized reservoir engineers.
The Problem: Specialized Tools Create Bottlenecks
Today, answering fundamental questions about well performance requires specialized engineering software designed exclusively for subject matter experts with extensive training and certification. This creates wait states across asset teams:
- Geologists must wait while reservoir models are optimized
- Asset managers delay decisions pending engineering analysis
- Teams work from different assumptions rather than a unified basis of fact
The core issue: Production forecasting has been locked behind technical barriers, preventing the very people who understand the subsurface best—geologists—from directly accessing performance predictions.
The Solution: Basin-Specific AI Models
AlphaX Sky delivers well performance forecasts in seconds using existing data through 60+ pre-built AI models covering 10 basins in the Lower 48. The platform:
- Works immediately with your existing data, including proprietary information
- Requires no configuration or specialized training
- Provides repeatable, reproducible results that become the shared basis for team decisions
- Considers lateral length and other parameters ignored by traditional approaches
Three Key Workflows for Geologists
1. Reducing Model Uncertainty and Redesigning Stimulation
Use AI production predictions within geological and physics-based reservoir models to calculate key unknown parameters like porosity through history matching. This enables teams to:
- Identify zones with optimal initial porosity and permeability
- Redesign stimulation treatments to improve fracture effectiveness
- Optimize completion parameters with geological constraints
2. Landing Zone Analysis
Forecast well performance across different zones while constraining geological and completion parameters. Compare AI forecasts against initial porosity and permeability to identify the most productive landing zones and refine formation permeability understanding.
3. Seismic-Production Correlation
Correlate microseismic characteristics during injection with initial production by mapping structural features and understanding spatial stress field distribution—helping predict where microseismic events occur and how structural features impact production.
Proven Results
An AlphaX customer that reduced staff by 50% during COVID was able to double their producing inventory within 12-18 months, with asset teams handling 4X the workload. Results included:
- 4% higher production than basin competitors
- 3.3X EBITDA asset sale versus 2.1X industry average
- Extreme workflow acceleration through eliminating wait states
Why This Matters
Cloud computing made prediction fundamentally cheaper. While the industry pursues digital transformation for automation, AlphaX asked a different question: Where does prediction inform decisions?
The answer: Collapse multi-nodal workflows with wait states into single decision points where geologists, engineers, and asset managers work from the same basis of fact—the asset's future performance.
Unified Asset Intelligence transforms production forecasting from a specialized engineering function into a collaborative capability accessible across the entire asset team.