AlphaX Sky
Forecast. Verify. Decide.
AI Models Built for Every Basin
From deterministic simulation to predictive intelligence — basin-specific AI models that capture how wells actually perform.
From completion intensity in the Permian to gas–liquid transitions in the Haynesville, Sky's 60+ basin-specific AI models learn how geology and design interact to shape production. Unlike traditional simulators that give one deterministic result, Sky's physics-aware AI captures the nonlinear behavior of real reservoirs—delivering forecasts that mirror field performance with speed, transparency, and reproducibility.
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Supported Basins: Anadarko, Barnett, Permian (Midland, Delaware, Central), Eagle Ford, Williston (Bakken), Denver-Julesburg, Powder River, Appalachia (Marcellus/Utica), Haynesville, and San Juan Basin.
Need a custom model? If you have the data, we can build and deliver it in the format that best fits your workflow — deployed via API, integrated into existing systems, or hosted directly within Sky.
Technical Approach: Each model is trained on tens of thousands of wells within its basin, capturing completion design evolution, geological variability, and operational practices unique to that region.
Retraining Cadence: Models are updated with new data to ensure forecasts reflect current basin behavior.
Forecast Every Well in Minutes
Where decline curves lose stability, basin-trained AI holds steady—delivering reliable forecasts even when data are sparse or noisy.
Traditional decline analysis becomes unstable when data are limited, rates fluctuate, or production is interrupted. Sky's basin-specific AI models learn from thousands of analog wells to forecast performance where deterministic DCA can't converge. The software also flags wells that need to be reviewed, providing transparency and building trust each time. The outcome: consistent, physics-aware forecasts that extend confidently beyond the available data—across your entire portfolio.
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Workflow: Import data → Forecast all wells → Review flagged exceptions → Curate → Export
Validation: Forecasts can be compared against physics-based declines or other AI ensembles. Agreement or divergence across models acts as a diagnostic signal for wells that merit closer review.
Key Capabilities:
- Benchmark long laterals: Filter wells >15,000 ft and compare EURs instantly.
- Monitor automatically: Import API lists, group assets, and schedule updates.
- Flag unstable wells fast: Generate P10/P50/P90 curves and see which wells diverge from type behavior.
- Correlate design to results: Link completion and geological variables to performance drivers.
Screen Deals Before You Spend
Use more data to identify which deals deserve deeper engineering time—and which don't.
Screening a deal shouldn't take 60–150 clicks. Sky's streamlined interface delivers forecasts with risk-adjusted speed.
Sky allows users to turn forecasts into reserves-style cash-flow assessments built on standard economic and reporting practices in seconds. Users can set commodity prices, operating assumptions, and discount rates to see how PDP, PUD, and type-well forecasts translate into value and risk.
The result is an unbiased view of asset value before major engineering investment—leading to fewer dead-end evaluations, less dependence on third-party studies, and faster bid readiness.
Use Case Example
Use Case: A family office evaluated a $50M Permian acquisition with 300 wells. Sky screened all assets in 6 hours, identifying 12 wells with forecast anomalies and a 5% reserves revision—allowing the team to redirect engineering toward higher-value targets and avoid additional third-party evaluation costs.
Find Value Before the Drill Bit — Maximize Your Mineral Portfolio
Evaluate mineral and non-operated opportunities across multiple basins with Sky's automated basin workflows.
Mineral and non-op buyers review a constant stream of deals—often with uneven data, limited staff, and exposure to unfamiliar basins. Each new region typically requires additional engineering work just to understand its geology and production behavior. Sky's pre-built AI basin models remove that burden.
Using the same public and subscription datasets available to all buyers, Sky produces consistent production projections and reserves-style economics for any location—no proprietary operator data required. The result is an objective view of potential value before negotiation or deeper diligence, letting small teams screen more deals, stay competitive across basins, and defend every evaluation with confidence.
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Automated Data Pull: Provide a list of API numbers, and Sky automatically retrieves and processes the associated well data through its AI workflows when connected to a data subscription—eliminating manual imports and feeding directly into fast economic screening and scenario analysis.
Rapid Analysis and Economic Screening: Build and evaluate type wells based on your design parameters and perform multivariate analysis in minutes, accelerating decision-making in competitive mineral and non-op acquisitions.
Integrate AI Into Your Workflow, Not the Other Way Around
Connect Sky to your existing data environment—no rip-and-replace required.
Sky is designed to work with the data infrastructure you already have. Upload Excel or CSV files from subscription datasets such as Enverus, IHS, WellDatabase, or Novi, or connect directly through SQL or API integrations.
If your organization combines proprietary and subscription data, Sky links directly to your internal SQL servers for unified forecasting access. For clients who rely solely on subscription data, Sky can connect through Conduit Resources data conduits, Azure Data Manager for Energy, OSDU Production DDMS, or other standard data frameworks.
When no existing data infrastructure is available, AlphaX can establish and host a secure SQL instance to consolidate and manage the data—without duplication or added IT overhead.
On the output side, forecasts and results are viewable in Sky and export seamlessly into ARIES, PHDWin, ComboCurve, Excel, or custom dashboards—completing the loop from data subscription → Sky → economics tools.
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Security: Enterprise-grade security with 2FA, optional VPN, and compliance with SOC 2 Type II standards.
API Design: RESTful APIs with comprehensive documentation enable custom integrations and automated workflows.
Cloud Options: Deploy on AWS, Azure, or hybrid environments based on your organization's requirements and data governance policies.
Confidence Is Quantified, Not Assumed
Sky compares forecasts from multiple AI models alongside traditional decline-curve analysis, revealing where model results align and where they diverge. This comparison helps users gauge confidence in the forecasts and decide when further engineering judgment is needed.
Multi-Model Validation
Forecasts are generated by an ensemble of AI models, with variance indicating areas of higher uncertainty.
Benchmarking
AI forecasts are compared against conventional decline-curve analysis to verify consistency and highlight model differences.
Explainability
Users can review each forecast in context—seeing how data patterns, basin behavior, and model choice influence the outcome.