Next-best locations
Identify and rank the highest-potential drilling locations across your asset base.
Well Intel AI™
Find the truth in the asset you already own.
Well Intel AI uses advanced machine learning and artificial intelligence to help oil and gas asset owners, operators, technical teams and energy financiers understand what they already own by combining well logs, production, completions, petrophysics, subsurface evidence and nearby analog wells to rank next-best drilling locations, evaluate landing zones and identify bypassed opportunities before capital is committed.
1. Better decisions start with better pre-drill analytics.
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Landing-zone confidence
Evaluate and de-risk landing zones with subsurface certainty.
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Bypassed opportunity
Find overlooked pay opportunities hidden in plain sight.
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Capital prioritization
Allocate capital to the opportunities with the best risk-reward profile.
2. All the right data. One integrated view.
Rock
Well logs, formation tops, petrophysics, reservoir quality and interpreted subsurface evidence.
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Production
Historical oil, gas and water performance, decline behavior, offsets and analog performance.
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Completions
Landing interval, lateral geometry, spacing, treatment design and completion evidence.
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Development
Existing wellbores, remaining inventory, geometry, constraints and development context.
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Economics
Forecasts, uncertainty, capital assumptions and economic ranking appropriate to the engagement.
3. From a large well population to a smaller set worth your attention.
Establish the population
Inventory wells, files and available evidence.
Establish source truth
Resolve well identity, normalize data and preserve provenance.
Compare the evidence
Evaluate geological, petrophysical, production, completion and spatial relationships.
Surface candidates
Identify wells, zones and locations where multiple lines of evidence support review.
Rank the opportunity
Compare technical potential, uncertainty, constraints and economics.
Put it in front of the team
Deliver focused recommendations with evidence and assumptions preserved.
4. Two core use cases. One common goal.
New Development
Identify and rank drilling locations, landing intervals and development opportunities before capital is committed.
- Candidate drilling areas
- Comparative well rankings
- Analog populations
- Landing-zone analysis
- Spacing and development context
- Production forecasts
Existing & Mature Assets
Revisit producing or previously developed acreage to identify bypassed, underdeveloped or technically differentiated opportunity.
- Bypassed interval candidates
- Recompletion or redevelopment candidates
- Remaining inventory
- Analog comparisons
- Subsurface-performance relationships
- Ranked technical opportunities
The path to Autonomous Subsurface Intelligence™TraditionalMonths PINN AI todayDays We are building towardHours
Months → Days → Hours
More evidence. More consistency. Days today. Hours as we automate.
Manual collection, reconciliation, comparison and technical screening across disconnected sources.
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Advanced machine learning and AI compress the analytical workload while preserving source truth, uncertainty and technical review.
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Autonomous Subsurface Intelligence™ designed to automate ingestion, source-truth resolution, analysis, QA, ranking and publication while keeping human technical authority intact.
Ready to find the truth in the asset you already own?
Give your technical team a smaller, higher-value set of wells, zones and opportunities to investigate — with the evidence behind the recommendation already organized.